ENG/中
老虎證券
行情
交易
收費
下載
優惠與活動
幫助
TigerAI
學堂
期權訓練營
投資學堂
機構
財富及資產管理人
自營交易機構
介紹經紀商
三方服務商
股權激勵
關於
關於我們
媒體報道
獎項與榮譽
登入
立即註冊
Toggle
美股
詳情
本頁面由Tiger Trade Technology Pte. Ltd.提供服務
Verisk Analytics
176.20
+0.3400
0.19%
盤後:
176.20
0.0000
0.00%
19:30 EDT
成交量:
68.84萬
成交額:
1.21億
市值:
229.33億
市盈率:
27.12
高:
177.22
開:
176.75
低:
173.83
收:
175.86
52周最高:
267.07
52周最低:
155.94
股本:
1.30億
流通股本:
1.30億
量比:
0.62
換手率:
0.53%
股息:
1.90
股息率:
1.08%
每股收益(TTM):
6.50
每股收益(LYR):
6.48
淨資產收益率:
437.95%
總資產收益率:
18.96%
市淨率:
-19.29
市盈率(LYR):
27.19
資料載入中...
總覽
公司
新聞
公告
分析-為什麼厄爾尼諾現象預示颶風季將較為平靜,但這對保險公司來説未必是好消息
路透中文
·
07/27
下周關注焦點——7月27日,星期一
路透中文
·
07/25
下周關注焦點——7月27日,星期一
路透中文
·
07/25
財報前瞻|Verisk Analytics本季營收預計增4.59%,機構觀點偏正面
财报Agent
·
07/22
地震發生近八天後,救援人員從委內瑞拉的廢墟中救出一名倖存男子
路透中文
·
07/03
地震發生近八天後,救援人員從委內瑞拉的廢墟中救出一名倖存男子
路透中文
·
07/03
Verisk估計,委內瑞拉地震造成的經濟損失超過100億美元
路透中文
·
07/02
韋萊斯珂預估:6月24日委內瑞拉地震序列所致經濟損失將超百億美元
美股速递
·
07/02
熱門話題-Astera Labs、CoreWeave等公司因入選納斯達克100指數而股價上漲
路透中文
·
06/12
Verisk通過全新Synergy Studio平台交付重新設計的颶風模型,重新定義美國颶風風險建模
美股速递
·
06/01
Verisk(VRSK)與KatRisk達成協議 共同推進巨災風險建模生態系統升級
金吾财讯
·
05/26
Katrisk宣佈加入Verisk模型交易所協議,推動巨災風險建模生態系統開放訪問
美股速递
·
05/26
Verisk(VRSK)攜手合作夥伴在英國推出全新數字保險品牌
金吾财讯
·
05/11
數字優先保險公司Zen Insurance通過攜手Applied Systems、One Call與Verisk在英國市場正式上線
美股速递
·
05/11
異動解讀 | Verisk Analytics盤中大漲5.29%,一季度業績超預期成主因
异动解读
·
04/29
得益於對分析服務需求的強勁增長,Verisk第一季度業績超出預期
路透中文
·
04/29
Verisk(VRSK)一季度每股收益按年增長4.8%至1.73美元 盤前上揚3.02%
金吾财讯
·
04/29
明日關注焦點——4月29日(星期三)
路透中文
·
04/29
美國研究綜述-東西銀行集團、瑞萊斯、標普全球
路透中文
·
04/27
財報前瞻|Verisk Analytics本季營收預計增2.88%,機構看多
财报Agent
·
04/23
{"basename":"/hant","ssrTDKData":{"titleTemplate":"%s - 老虎證券","title":"老虎證券香港 | 輕鬆買賣美股港股A股/美債/ETF/Crypto/期權期貨","description":"老虎證券香港提供多種優惠: 港股&Crypto 0佣、A股一年0佣、美股期權0佣、IPO抽新股0孖展利息0手續費。美股1美金起投,即時串流報價與多種工具,立即開戶享更多優惠!","keywords":"老虎證券,老虎證券開戶,老虎證券香港,老虎證券投資,老虎證券美股,老虎證券登錄,證券開戶,證券公司開戶,股票開戶,香港證券公司,香港證券,證券公司,美股投資平台,小額投資理財,投資app,投資平台,股票買賣,買賣股票平台,炒股app,證券app,新手投資","social":{"ogDescription":"老虎證券香港提供多種優惠: 港股&Crypto 0佣、A股一年0佣、美股期權0佣、IPO抽新股0孖展利息0手續費。美股1美金起投,即時串流報價與多種工具,立即開戶享更多優惠!","ogImage":"https://c1.itigergrowtha.com/portal5/static/media/og-logo.0a0bd8dc.png","ogUrl":"https://www.atigrcrest.com/hant/stock/VRSK/news?page=2"},"companyName":"老虎證券"},"pageData":{"isMobile":false,"isTiger":false,"isTTM":true,"region":"HKG","license":"TBHK","edition":"fundamental","symbol":"VRSK","isAnalysisPage":false},"__swrFallback__":{"@#url:\"https://hq.skytigris.cn/stock_info/detail/global\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"VRSK\",,,,,undefined,":{"symbol":"VRSK","market":"US","secType":"STK","nameCN":"Verisk Analytics","latestPrice":176.2,"timestamp":1789156800000,"preClose":175.86,"halted":0,"volume":688410,"hourTrading":{"tag":"盘后","latestPrice":176.2,"preClose":176.2,"latestTime":"19:30 EDT","volume":40910,"amount":7208372.83,"timestamp":1789169408078,"change":0,"changeRate":0,"amplitude":0},"delay":0,"changeRate":0.0019333560786988226,"floatShares":130156012,"shares":130156012,"eps":6.49757,"marketStatus":"休市中","change":0.34,"latestTime":"09-11 16:00:00 EDT","open":176.75,"high":177.215,"low":173.8318,"amount":121049918.0226,"amplitude":0.019238,"askPrice":0,"askSize":0,"bidPrice":0,"bidSize":0,"shortable":3,"etf":0,"ttmEps":6.49757,"tradingStatus":0,"nextMarketStatus":{"tag":"盤前交易","tradingStatus":1,"beginTime":1789372800000},"marketStatusCode":7,"adr":0,"adrRate":0,"listingDate":1254888000000,"exchange":"NASDAQ","adjPreClose":175.86,"dividendRate":0.010779,"preHourTrading":{"tag":"盘前","latestPrice":175.86,"preClose":175.86,"latestTime":"07:38 EDT","volume":8,"amount":1416.98,"timestamp":1789126722757,"change":0,"changeRate":0,"amplitude":0.028716},"postHourTrading":{"tag":"盘后","latestPrice":176.2,"preClose":176.2,"latestTime":"19:30 EDT","volume":40910,"amount":7208372.83,"timestamp":1789169408078,"change":0,"changeRate":0,"amplitude":0},"volumeRatio":0.6177182051459383,"impliedVol":0.345,"impliedVolPercentile":0.4143},"@#url:\"https://hq.skytigris.cn/stock_info/fundamental/all\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"VRSK\",,,,,undefined,":{"symbol":"VRSK","floatShares":130156012,"roa":"18.96%","roe":"437.95%","lyrEps":6.479999,"volumeRatio":0.6177182051459383,"shares":130156012,"dividePrice":1.8993,"high":177.215,"amplitude":0.019238,"preClose":175.86,"low":173.8318,"week52Low":155.94,"pbRate":"-19.29","psRate":"7.31","week52High":267.07,"institutionHeld":0,"latestPrice":176.2,"eps":6.49757,"divideRate":0.010779,"volume":688410,"delay":0,"ttmEps":6.49757,"open":176.75,"prevYearClose":223.69,"prevWeekClose":185.79,"prevMonthClose":193.78,"prevQuarterClose":179.53,"fiveDayClose":190.6,"twentyDayClose":185.94,"sixtyDayClose":179.61,"dividendPayoutRate":0.2767817904644983,"dividendFrequency":"Q","dividendGrowthYears":6,"dividendGrowthRate":0.15384615384615383,"fiveYearAvgDividendRate":0.006297685809180699},"@#url:\"https://hq.skytigris.cn/fundamental/corporate_actions/details/VRSK\",params:#limit:5,,,undefined,":[{"date":"2026-09-15","symbol":"VRSK","amount":0.5,"announcedDate":"2026-07-27","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2026-09-15","defaultRemindTime":1789479000000,"name":"Verisk Analytics","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2026-09-30","payableDate":"2026-09-15","currency":"USD","dateTimestamp":1789444800000,"payDate":"2026-09-30"},{"market":"US","date":"2026-07-29","symbol":"VRSK","fiscalQuarterEnding":"2026/06","expectedEps":1.94,"name":null,"time":"盤前","type":"earning","dateTimestamp":1785297600000,"reportTimeType":"pre","actualEps":1.98},{"date":"2026-06-15","symbol":"VRSK","amount":0.5,"announcedDate":null,"type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2026-06-15","defaultRemindTime":1781530200000,"name":"Verisk Analytics","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2026-06-30","payableDate":"2026-06-15","currency":"USD","dateTimestamp":1781496000000,"payDate":"2026-06-30"},{"market":"US","date":"2026-04-29","symbol":"VRSK","fiscalQuarterEnding":"2026/03","expectedEps":1.76,"name":null,"time":"盤前","type":"earning","dateTimestamp":1777435200000,"reportTimeType":"pre","actualEps":1.82},{"date":"2026-03-13","symbol":"VRSK","amount":0.5,"announcedDate":"2026-02-13","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2026-03-13","defaultRemindTime":1773408600000,"name":"Verisk Analytics","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2026-03-31","payableDate":"2026-03-13","currency":"USD","dateTimestamp":1773374400000,"payDate":"2026-03-31"}],"@#url:\"https://hq.skytigris.cn/fundamental/dividend/history\",params:#symbol:\"VRSK\",market:\"US\",,,undefined,":[{"executeDate":"2019-03-14","recordDate":"2019-03-15","paymentDate":"2019-03-29","value":0.25,"currency":"USD"},{"executeDate":"2019-06-13","recordDate":"2019-06-14","paymentDate":"2019-06-28","value":0.25,"currency":"USD"},{"executeDate":"2019-09-12","recordDate":"2019-09-13","paymentDate":"2019-09-30","value":0.25,"currency":"USD"},{"executeDate":"2019-12-12","recordDate":"2019-12-13","paymentDate":"2019-12-31","value":0.25,"currency":"USD"},{"executeDate":"2020-03-12","recordDate":"2020-03-13","paymentDate":"2020-03-31","value":0.27,"currency":"USD"}],"@#url:\"https://hq.skytigris.cn/fundamental/estimate/recommendation\",params:#symbol:\"VRSK\",market:\"US\",delay:false,,,undefined,":{"strongBuy":0.25,"buy":0.3,"hold":0.45,"sell":0,"strongSell":0,"meanLabel":"BUY","meanPercent":0.3,"analysts":20,"updateTime":1786507200000},"@#url:\"https://hq.skytigris.cn/value_analysis/stock/VRSK\",params:#withQuantilePoint:true,period:\"5year\",factor:\"peRate\",delay:false,algorithm:1,,,undefined,":{"brief":{"id":"VRSK","date":"2026-09-11","current":27.11783,"percent":0.057003,"low":22.576868,"twenty":27.823333,"median":42.7736,"eighty":52.379714,"high":72.438371,"avg":42.526699,"sd":13.79327,"marketCap":22889236270},"quantilePoints":[{"date":"2021-09-17","current":47.396406,"twenty":28.152828,"median":35.646235,"eighty":49.700883,"marketCap":32447579315},{"date":"2021-09-24","current":49.015567,"twenty":28.152828,"median":36.271423,"eighty":49.700883,"marketCap":33556057037},{"date":"2021-10-01","current":47.134794,"twenty":28.152828,"median":36.911001,"eighty":49.700883,"marketCap":32268480295},{"date":"2021-10-08","current":48.897724,"twenty":28.152828,"median":37.085793,"eighty":49.700883,"marketCap":33475381803},{"date":"2021-10-15","current":49.642491,"twenty":28.152828,"median":37.425847,"eighty":49.721151,"marketCap":33985249285},{"date":"2021-10-22","current":50.427324,"twenty":28.152828,"median":37.686638,"eighty":49.863981,"marketCap":34522546347},{"date":"2021-10-29","current":49.557644,"twenty":28.152828,"median":38.090842,"eighty":49.884631,"marketCap":33927163116},{"date":"2021-11-05","current":49.369906,"twenty":28.173926,"median":38.182288,"eighty":49.884631,"marketCap":34583619461},{"date":"2021-11-12","current":49.756418,"twenty":28.173926,"median":38.318654,"eighty":49.884631,"marketCap":34854370571},{"date":"2021-11-19","current":52.922129,"twenty":28.181699,"median":38.336643,"eighty":49.972922,"marketCap":37071951091},{"date":"2021-11-26","current":51.951249,"twenty":28.181699,"median":38.493201,"eighty":50.084927,"marketCap":36391850088},{"date":"2021-12-03","current":50.994174,"twenty":28.199971,"median":38.733204,"eighty":50.49296,"marketCap":35721418768},{"date":"2021-12-10","current":52.146806,"twenty":28.199971,"median":38.905025,"eighty":50.910919,"marketCap":36528837257},{"date":"2021-12-17","current":51.106906,"twenty":28.21716,"median":39.057754,"eighty":51.075157,"marketCap":35800387842},{"date":"2021-12-23","current":51.886831,"twenty":28.324793,"median":39.207486,"eighty":51.127672,"marketCap":36346724903},{"date":"2021-12-31","current":52.623043,"twenty":28.412771,"median":39.257737,"eighty":51.354594,"marketCap":36862441303},{"date":"2022-01-07","current":47.543181,"twenty":28.497244,"median":39.326991,"eighty":51.351061,"marketCap":33303998143},{"date":"2022-01-14","current":45.587618,"twenty":28.557328,"median":39.426356,"eighty":51.351061,"marketCap":31934126456},{"date":"2022-01-21","current":45.113682,"twenty":28.670132,"median":39.459831,"eighty":51.351061,"marketCap":31602134023},{"date":"2022-01-28","current":44.469496,"twenty":28.729865,"median":39.5143,"eighty":51.351061,"marketCap":31150882173},{"date":"2022-02-04","current":45.495592,"twenty":28.841225,"median":39.572217,"eighty":51.351061,"marketCap":31869661906},{"date":"2022-02-11","current":44.382071,"twenty":28.960524,"median":39.644442,"eighty":51.351061,"marketCap":31089640851},{"date":"2022-02-18","current":43.551532,"twenty":29.10452,"median":39.718764,"eighty":51.351061,"marketCap":30507848287},{"date":"2022-02-25","current":43.465535,"twenty":29.18773,"median":39.815945,"eighty":51.351061,"marketCap":28956739406},{"date":"2022-03-04","current":45.441021,"twenty":29.405651,"median":39.908335,"eighty":51.351061,"marketCap":30272808213},{"date":"2022-03-11","current":44.07077,"twenty":29.576441,"median":39.945492,"eighty":51.351061,"marketCap":29359946761},{"date":"2022-03-18","current":50.413629,"twenty":29.823648,"median":40.013411,"eighty":51.351061,"marketCap":33585559842},{"date":"2022-03-25","current":50.355527,"twenty":29.971308,"median":40.372222,"eighty":51.351061,"marketCap":33546851936},{"date":"2022-04-01","current":51.025636,"twenty":30.071547,"median":40.567522,"eighty":51.440667,"marketCap":33993279019},{"date":"2022-04-08","current":52.312478,"twenty":30.134418,"median":40.746423,"eighty":51.587028,"marketCap":34850572624},{"date":"2022-04-14","current":50.830227,"twenty":30.180861,"median":40.874034,"eighty":51.5872,"marketCap":33863097397},{"date":"2022-04-22","current":50.186807,"twenty":30.245445,"median":41.014829,"eighty":51.619942,"marketCap":33434450595},{"date":"2022-04-29","current":48.625916,"twenty":30.301029,"median":41.120437,"eighty":51.619942,"marketCap":32394585203},{"date":"2022-05-06","current":29.181887,"twenty":30.32462,"median":41.125892,"eighty":51.619942,"marketCap":29278187356},{"date":"2022-05-13","current":27.732393,"twenty":30.32462,"median":41.125892,"eighty":51.619942,"marketCap":27823910010},{"date":"2022-05-20","current":26.580352,"twenty":30.32462,"median":41.125892,"eighty":51.619942,"marketCap":26668067428},{"date":"2022-05-27","current":28.116407,"twenty":30.32462,"median":41.125892,"eighty":51.619942,"marketCap":28209190870},{"date":"2022-06-03","current":27.331067,"twenty":30.32462,"median":41.125892,"eighty":51.619942,"marketCap":27421259930},{"date":"2022-06-10","current":25.826489,"twenty":30.32462,"median":41.125892,"eighty":51.619942,"marketCap":25911716887},{"date":"2022-06-17","current":25.467657,"twenty":30.32462,"median":41.125892,"eighty":51.619942,"marketCap":25551700345},{"date":"2022-06-24","current":27.225621,"twenty":30.33265,"median":41.130507,"eighty":51.627422,"marketCap":27315465596},{"date":"2022-07-01","current":27.589175,"twenty":30.33265,"median":41.130507,"eighty":51.627422,"marketCap":27680219197},{"date":"2022-07-08","current":28.025125,"twenty":30.33265,"median":41.130507,"eighty":51.627422,"marketCap":28117607715},{"date":"2022-07-15","current":28.144736,"twenty":30.33265,"median":41.130507,"eighty":51.627422,"marketCap":28237613229},{"date":"2022-07-22","current":29.081162,"twenty":30.33265,"median":41.130507,"eighty":51.627422,"marketCap":29177130081},{"date":"2022-07-29","current":29.942045,"twenty":30.33265,"median":41.130507,"eighty":51.627422,"marketCap":30040853978},{"date":"2022-08-05","current":29.739939,"twenty":30.33265,"median":41.130507,"eighty":51.627422,"marketCap":31137715872},{"date":"2022-08-12","current":30.413053,"twenty":30.347646,"median":41.130507,"eighty":51.627422,"marketCap":31842466070},{"date":"2022-08-19","current":30.06825,"twenty":30.399482,"median":41.130507,"eighty":51.627422,"marketCap":31481458174},{"date":"2022-08-26","current":28.467169,"twenty":30.399482,"median":41.130507,"eighty":51.627422,"marketCap":29805125854},{"date":"2022-09-02","current":27.699609,"twenty":30.399482,"median":41.130507,"eighty":51.627422,"marketCap":29001490885},{"date":"2022-09-09","current":28.789484,"twenty":30.399482,"median":41.130507,"eighty":51.627422,"marketCap":30142589758},{"date":"2022-09-16","current":27.648638,"twenty":30.399482,"median":41.130507,"eighty":51.627422,"marketCap":28948124500},{"date":"2022-09-23","current":26.264932,"twenty":30.399482,"median":41.130507,"eighty":51.627422,"marketCap":27499384116},{"date":"2022-09-30","current":25.564834,"twenty":30.399482,"median":41.130507,"eighty":51.627422,"marketCap":26766381126},{"date":"2022-10-07","current":25.569331,"twenty":30.399482,"median":41.130507,"eighty":51.627422,"marketCap":26771089924},{"date":"2022-10-14","current":25.011651,"twenty":30.399482,"median":41.130507,"eighty":51.627422,"marketCap":26187198892},{"date":"2022-10-21","current":25.034138,"twenty":30.399482,"median":41.130507,"eighty":51.627422,"marketCap":26210742885},{"date":"2022-10-28","current":27.152423,"twenty":30.399482,"median":41.130507,"eighty":51.627422,"marketCap":28428587049},{"date":"2022-11-04","current":25.168379,"twenty":30.399482,"median":41.130507,"eighty":51.627422,"marketCap":26041721434},{"date":"2022-11-11","current":26.944312,"twenty":30.399482,"median":41.130507,"eighty":51.627422,"marketCap":27879279846},{"date":"2022-11-18","current":26.229405,"twenty":30.399482,"median":41.130507,"eighty":51.627422,"marketCap":27139564843},{"date":"2022-11-25","current":27.639571,"twenty":30.399482,"median":41.130507,"eighty":51.627422,"marketCap":28598664416},{"date":"2022-12-02","current":28.02801,"twenty":30.399482,"median":41.130507,"eighty":51.627422,"marketCap":29000581448},{"date":"2022-12-09","current":27.58516,"twenty":30.399482,"median":41.130507,"eighty":51.627422,"marketCap":28542364754},{"date":"2022-12-16","current":26.453097,"twenty":30.399482,"median":41.130507,"eighty":51.627422,"marketCap":27371019009},{"date":"2022-12-23","current":26.542271,"twenty":30.399482,"median":41.130507,"eighty":51.627422,"marketCap":27463287899},{"date":"2022-12-30","current":26.664697,"twenty":30.399482,"median":41.130507,"eighty":51.627422,"marketCap":27589962139},{"date":"2023-01-06","current":27.641083,"twenty":30.347646,"median":41.130507,"eighty":51.627422,"marketCap":28600228296},{"date":"2023-01-13","current":27.802806,"twenty":30.303481,"median":41.130507,"eighty":51.627422,"marketCap":28767563402},{"date":"2023-01-20","current":27.449131,"twenty":30.263002,"median":41.130507,"eighty":51.627422,"marketCap":28401615599},{"date":"2023-01-27","current":27.228462,"twenty":30.208229,"median":41.130507,"eighty":51.627422,"marketCap":28173289192},{"date":"2023-02-03","current":27.222416,"twenty":30.137658,"median":41.130507,"eighty":51.627422,"marketCap":28167033674},{"date":"2023-02-10","current":26.719109,"twenty":30.092858,"median":41.130507,"eighty":51.627422,"marketCap":27646261801},{"date":"2023-02-17","current":26.772009,"twenty":30.035952,"median":41.130507,"eighty":51.627422,"marketCap":27700997583},{"date":"2023-02-24","current":25.948278,"twenty":30.024228,"median":41.130507,"eighty":51.627422,"marketCap":26848683256},{"date":"2023-03-03","current":30.313185,"twenty":29.925302,"median":41.130507,"eighty":51.627422,"marketCap":28915746786},{"date":"2023-03-10","current":29.213659,"twenty":29.870504,"median":41.130507,"eighty":51.627422,"marketCap":27866908977},{"date":"2023-03-17","current":29.202307,"twenty":29.79112,"median":41.130507,"eighty":51.627422,"marketCap":27856080268},{"date":"2023-03-24","current":30.275885,"twenty":29.770582,"median":41.130507,"eighty":51.627422,"marketCap":28880166742},{"date":"2023-03-31","current":31.114314,"twenty":29.775814,"median":41.125892,"eighty":51.619942,"marketCap":29679944246},{"date":"2023-04-06","current":31.049445,"twenty":29.775814,"median":41.125892,"eighty":51.619942,"marketCap":29618065909},{"date":"2023-04-14","current":31.560287,"twenty":29.770582,"median":41.130507,"eighty":51.627422,"marketCap":30105357811},{"date":"2023-04-21","current":31.552178,"twenty":29.770582,"median":41.130507,"eighty":51.627422,"marketCap":30097623019},{"date":"2023-04-28","current":31.153235,"twenty":29.770582,"median":41.130507,"eighty":51.627422,"marketCap":29717071248},{"date":"2023-05-05","current":59.052989,"twenty":29.819132,"median":41.234144,"eighty":51.694809,"marketCap":29792232785},{"date":"2023-05-12","current":61.799573,"twenty":29.852439,"median":41.361282,"eighty":51.841776,"marketCap":31177884358},{"date":"2023-05-19","current":63.320669,"twenty":29.870504,"median":41.449459,"eighty":51.954993,"marketCap":31945277602},{"date":"2023-05-26","current":62.76102,"twenty":29.870504,"median":41.59412,"eighty":52.061024,"marketCap":31662934805},{"date":"2023-06-02","current":63.13125,"twenty":29.870504,"median":41.640639,"eighty":52.131402,"marketCap":31849715424},{"date":"2023-06-09","current":63.11403,"twenty":29.870504,"median":41.881653,"eighty":52.24152,"marketCap":31841027953},{"date":"2023-06-16","current":64.451447,"twenty":29.870504,"median":42.030366,"eighty":52.360799,"marketCap":32515754843},{"date":"2023-06-23","current":65.438724,"twenty":29.868325,"median":42.177036,"eighty":52.457451,"marketCap":33013836495},{"date":"2023-06-30","current":64.078347,"twenty":29.866147,"median":42.292472,"eighty":52.483837,"marketCap":32327526312},{"date":"2023-07-07","current":65.151725,"twenty":29.866147,"median":42.423934,"eighty":52.56405,"marketCap":32869045317},{"date":"2023-07-14","current":65.034055,"twenty":29.866147,"median":42.511576,"eighty":52.637376,"marketCap":32809680934},{"date":"2023-07-21","current":66.256673,"twenty":29.866147,"median":42.645445,"eighty":52.708809,"marketCap":33426491353},{"date":"2023-07-28","current":66.428872,"twenty":29.866147,"median":42.674576,"eighty":52.754032,"marketCap":33513366059},{"date":"2023-08-04","current":66.337579,"twenty":29.879926,"median":42.761378,"eighty":52.876368,"marketCap":33414238771},{"date":"2023-08-11","current":67.112094,"twenty":29.879926,"median":42.867619,"eighty":53.139399,"marketCap":33804361611},{"date":"2023-08-18","current":66.418198,"twenty":29.879926,"median":42.964375,"eighty":53.343713,"marketCap":33454846353},{"date":"2023-08-25","current":67.567013,"twenty":29.879926,"median":43.029208,"eighty":53.600306,"marketCap":34033504394},{"date":"2023-09-01","current":69.740835,"twenty":29.879926,"median":43.097678,"eighty":53.913988,"marketCap":35128458833},{"date":"2023-09-08","current":70.587331,"twenty":29.874861,"median":43.171419,"eighty":54.182953,"marketCap":35554838442},{"date":"2023-09-15","current":71.546116,"twenty":29.874861,"median":43.316385,"eighty":54.515997,"marketCap":36037778612},{"date":"2023-09-22","current":69.369414,"twenty":29.874861,"median":43.388027,"eighty":54.808993,"marketCap":34941373902},{"date":"2023-09-29","current":69.257124,"twenty":29.874861,"median":43.461938,"eighty":55.184521,"marketCap":34884813342},{"date":"2023-10-06","current":68.70719,"twenty":29.874861,"median":43.631743,"eighty":55.416898,"marketCap":34607811623},{"date":"2023-10-13","current":70.823428,"twenty":29.874861,"median":43.899899,"eighty":55.568417,"marketCap":35673760646},{"date":"2023-10-20","current":67.50367,"twenty":29.874861,"median":44.155325,"eighty":55.773088,"marketCap":34001598437},{"date":"2023-10-27","current":65.269383,"twenty":29.868325,"median":44.22571,"eighty":55.94531,"marketCap":32876188311},{"date":"2023-11-03","current":66.430257,"twenty":29.954363,"median":44.424408,"eighty":56.240771,"marketCap":33328060087},{"date":"2023-11-10","current":68.057274,"twenty":30.004734,"median":44.694961,"eighty":56.492337,"marketCap":34144334409},{"date":"2023-11-17","current":68.649705,"twenty":30.004734,"median":44.79463,"eighty":56.715423,"marketCap":34441556852},{"date":"2023-11-24","current":69.224796,"twenty":30.004734,"median":44.959415,"eighty":56.910584,"marketCap":34730080103},{"date":"2023-12-01","current":69.770988,"twenty":30.004734,"median":45.110254,"eighty":57.155559,"marketCap":35004104697},{"date":"2023-12-08","current":67.551541,"twenty":30.059147,"median":45.217072,"eighty":57.363662,"marketCap":33890607932},{"date":"2023-12-15","current":68.037045,"twenty":30.237613,"median":45.333433,"eighty":57.562685,"marketCap":34134185349},{"date":"2023-12-22","current":67.915669,"twenty":30.43903,"median":45.464186,"eighty":57.665263,"marketCap":34073290995},{"date":"2023-12-29","current":68.667044,"twenty":30.564226,"median":45.572313,"eighty":57.869856,"marketCap":34450256046},{"date":"2024-01-05","current":68.765301,"twenty":30.83592,"median":45.726808,"eighty":58.004156,"marketCap":34499551476},{"date":"2024-01-12","current":67.684476,"twenty":30.920357,"median":45.861654,"eighty":58.170209,"marketCap":33957301749},{"date":"2024-01-19","current":68.649705,"twenty":31.047824,"median":45.981031,"eighty":58.267515,"marketCap":34441556852},{"date":"2024-01-26","current":70.363419,"twenty":31.114314,"median":46.210098,"eighty":58.358346,"marketCap":35301327141},{"date":"2024-02-02","current":71.270849,"twenty":31.233997,"median":46.433364,"eighty":58.439574,"marketCap":35756584933},{"date":"2024-02-09","current":72.033784,"twenty":31.482443,"median":46.655848,"eighty":58.658525,"marketCap":36139349447},{"date":"2024-02-16","current":71.279519,"twenty":32.240219,"median":46.946144,"eighty":58.904088,"marketCap":35760934530},{"date":"2024-02-23","current":55.995779,"twenty":32.371311,"median":47.13769,"eighty":58.943755,"marketCap":34415006058},{"date":"2024-03-01","current":56.436728,"twenty":32.903085,"median":47.269452,"eighty":58.939977,"marketCap":34686012939},{"date":"2024-03-08","current":55.092885,"twenty":32.91401,"median":47.342395,"eighty":58.939977,"marketCap":33860087207},{"date":"2024-03-15","current":54.325308,"twenty":33.163084,"median":47.437221,"eighty":58.939977,"marketCap":33388334489},{"date":"2024-03-22","current":55.039225,"twenty":33.22863,"median":47.550083,"eighty":58.939977,"marketCap":33827107534},{"date":"2024-03-28","current":54.577279,"twenty":33.656862,"median":47.626872,"eighty":58.939977,"marketCap":33543195564},{"date":"2024-04-05","current":52.848481,"twenty":32.891955,"median":47.723002,"eighty":58.943755,"marketCap":32480676523},{"date":"2024-04-12","current":51.875689,"twenty":32.915724,"median":47.864182,"eighty":58.943755,"marketCap":31882798173},{"date":"2024-04-19","current":51.868721,"twenty":32.915724,"median":48.016259,"eighty":58.943755,"marketCap":31878515920},{"date":"2024-04-26","current":51.743305,"twenty":33.917626,"median":48.182671,"eighty":58.939977,"marketCap":31801435373},{"date":"2024-05-03","current":42.874101,"twenty":33.917626,"median":48.211878,"eighty":58.939977,"marketCap":33351763401},{"date":"2024-05-10","current":44.93197,"twenty":33.917626,"median":48.211878,"eighty":58.939977,"marketCap":34952579560},{"date":"2024-05-17","current":46.12414,"twenty":33.917626,"median":48.211878,"eighty":58.939977,"marketCap":35879968600},{"date":"2024-05-24","current":45.715134,"twenty":33.917626,"median":48.211878,"eighty":58.939977,"marketCap":35561802822},{"date":"2024-05-31","current":45.737143,"twenty":33.917626,"median":48.211878,"eighty":58.939977,"marketCap":35578923850},{"date":"2024-06-07","current":47.6868,"twenty":33.917626,"median":48.211878,"eighty":58.939977,"marketCap":37095561620},{"date":"2024-06-14","current":48.09764,"twenty":32.915724,"median":48.294342,"eighty":58.943755,"marketCap":37415154150},{"date":"2024-06-21","current":49.170593,"twenty":31.913822,"median":48.339742,"eighty":58.947533,"marketCap":38249804287},{"date":"2024-06-28","current":49.676807,"twenty":31.817492,"median":48.437225,"eighty":58.955089,"marketCap":38643587941},{"date":"2024-07-05","current":50.122495,"twenty":31.817492,"median":48.508474,"eighty":58.955089,"marketCap":38990288767},{"date":"2024-07-12","current":50.454468,"twenty":31.817492,"median":48.637304,"eighty":58.955089,"marketCap":39248530946},{"date":"2024-07-15","current":50.874479,"twenty":31.817492,"median":48.652936,"eighty":58.955089,"marketCap":39575257239},{"date":"2024-08-02","current":41.868533,"twenty":31.540825,"median":48.864471,"eighty":59.024691,"marketCap":37225312787},{"date":"2024-08-09","current":42.385943,"twenty":31.540825,"median":48.864471,"eighty":59.024691,"marketCap":37685341713},{"date":"2024-08-16","current":42.632633,"twenty":31.540825,"median":48.864471,"eighty":59.024691,"marketCap":37904674390},{"date":"2024-08-23","current":43.239749,"twenty":31.540825,"median":48.864471,"eighty":59.024691,"marketCap":38444460652},{"date":"2024-08-30","current":43.524885,"twenty":31.540825,"median":48.864471,"eighty":59.024691,"marketCap":38697975045},{"date":"2024-09-06","current":43.811623,"twenty":31.540825,"median":48.864471,"eighty":59.024691,"marketCap":38952913676},{"date":"2024-09-13","current":43.150043,"twenty":31.540825,"median":48.864471,"eighty":59.024691,"marketCap":38364703315},{"date":"2024-09-20","current":42.603799,"twenty":31.540825,"median":48.864471,"eighty":59.024691,"marketCap":37879038103},{"date":"2024-09-27","current":42.448416,"twenty":31.540825,"median":48.864471,"eighty":59.024691,"marketCap":37740887001},{"date":"2024-10-04","current":43.358288,"twenty":31.540825,"median":48.864471,"eighty":59.024691,"marketCap":38549854276},{"date":"2024-10-11","current":42.975437,"twenty":31.540825,"median":48.864471,"eighty":59.024691,"marketCap":38209461356},{"date":"2024-10-18","current":42.813647,"twenty":31.540825,"median":48.864471,"eighty":59.024691,"marketCap":38065613302},{"date":"2024-10-25","current":42.445213,"twenty":31.540825,"median":48.864471,"eighty":59.024691,"marketCap":37738038525},{"date":"2024-10-31","current":42.223787,"twenty":31.540825,"median":48.77768,"eighty":59.024691,"marketCap":38921887049},{"date":"2024-11-08","current":42.945313,"twenty":31.529472,"median":48.637304,"eighty":59.031766,"marketCap":39586989135},{"date":"2024-11-15","current":43.832283,"twenty":31.529472,"median":48.604308,"eighty":59.031766,"marketCap":40404598706},{"date":"2024-11-22","current":44.051345,"twenty":31.529472,"median":48.437225,"eighty":59.031766,"marketCap":40606529913},{"date":"2024-11-29","current":45.070059,"twenty":31.529472,"median":48.337089,"eighty":59.031766,"marketCap":41545580629},{"date":"2024-12-06","current":44.25662,"twenty":31.529472,"median":48.219508,"eighty":59.031766,"marketCap":40795752162},{"date":"2024-12-13","current":43.705135,"twenty":31.529472,"median":48.163335,"eighty":59.031766,"marketCap":40287393880},{"date":"2024-12-20","current":42.216128,"twenty":31.529472,"median":48.013237,"eighty":59.031766,"marketCap":38914826517},{"date":"2024-12-27","current":42.64506,"twenty":31.529472,"median":47.870075,"eighty":59.031766,"marketCap":39310216292},{"date":"2025-01-03","current":41.880641,"twenty":31.529472,"median":47.781268,"eighty":59.031766,"marketCap":38605575229},{"date":"2025-01-10","current":42.957568,"twenty":31.518118,"median":47.695727,"eighty":59.03884,"marketCap":39598285986},{"date":"2025-01-17","current":42.658847,"twenty":31.518118,"median":47.578244,"eighty":59.03884,"marketCap":39322925249},{"date":"2025-01-24","current":42.583784,"twenty":31.518118,"median":47.547245,"eighty":59.03884,"marketCap":39253732039},{"date":"2025-01-31","current":44.131004,"twenty":31.518118,"median":47.396406,"eighty":59.03884,"marketCap":40679959442},{"date":"2025-02-07","current":45.18342,"twenty":31.518118,"median":47.342395,"eighty":58.955089,"marketCap":41650076498},{"date":"2025-02-14","current":45.267674,"twenty":31.518118,"median":47.269452,"eighty":58.758639,"marketCap":41727742347},{"date":"2025-02-21","current":44.838742,"twenty":31.518118,"median":47.140586,"eighty":58.544328,"marketCap":41332352571},{"date":"2025-02-28","current":42.470798,"twenty":31.518118,"median":46.868266,"eighty":58.435332,"marketCap":40695518228},{"date":"2025-03-07","current":43.239374,"twenty":31.506765,"median":46.618642,"eighty":58.32985,"marketCap":41431968094},{"date":"2025-03-14","current":42.381496,"twenty":31.506765,"median":46.495234,"eighty":58.32985,"marketCap":40609949767},{"date":"2025-03-21","current":42.115057,"twenty":31.506765,"median":46.318762,"eighty":58.32985,"marketCap":40354647147},{"date":"2025-03-28","current":43.463359,"twenty":31.506765,"median":46.210098,"eighty":58.32985,"marketCap":41646590626},{"date":"2025-04-04","current":44.663802,"twenty":31.506765,"median":46.09988,"eighty":58.32985,"marketCap":42796855179},{"date":"2025-04-11","current":41.836905,"twenty":31.518118,"median":45.920008,"eighty":58.319775,"marketCap":40088122433},{"date":"2025-04-17","current":42.781156,"twenty":31.518118,"median":45.876242,"eighty":58.319775,"marketCap":40992903697},{"date":"2025-04-25","current":42.097303,"twenty":31.506765,"median":45.76706,"eighty":58.32985,"marketCap":40337636115},{"date":"2025-05-02","current":43.013034,"twenty":31.506765,"median":45.592219,"eighty":58.32985,"marketCap":41215088858},{"date":"2025-05-09","current":44.354015,"twenty":31.506765,"median":45.497292,"eighty":58.32985,"marketCap":43063313104},{"date":"2025-05-16","current":44.283417,"twenty":31.506765,"median":45.42331,"eighty":58.32985,"marketCap":42994769906},{"date":"2025-05-23","current":45.289073,"twenty":31.506765,"median":45.325997,"eighty":58.32985,"marketCap":43971160764},{"date":"2025-05-30","current":45.286191,"twenty":31.506765,"median":45.305849,"eighty":58.32985,"marketCap":43968363082},{"date":"2025-06-06","current":46.189552,"twenty":31.506765,"median":45.296487,"eighty":58.32985,"marketCap":44845436245},{"date":"2025-06-13","current":45.22712,"twenty":31.506765,"median":45.286989,"eighty":58.32985,"marketCap":43911010611},{"date":"2025-06-20","current":44.126374,"twenty":31.495412,"median":45.22712,"eighty":58.339924,"marketCap":42842296262},{"date":"2025-06-27","current":43.962126,"twenty":31.495412,"median":45.18342,"eighty":58.339924,"marketCap":42682828415},{"date":"2025-07-03","current":43.807964,"twenty":31.495412,"median":45.134911,"eighty":58.339924,"marketCap":42533152452},{"date":"2025-07-11","current":43.640835,"twenty":31.495412,"median":45.088806,"eighty":58.339924,"marketCap":42370886923},{"date":"2025-07-18","current":43.597612,"twenty":31.495412,"median":45.037889,"eighty":58.267515,"marketCap":42328921700},{"date":"2025-07-25","current":42.659673,"twenty":31.495412,"median":44.959415,"eighty":57.947315,"marketCap":41418276358},{"date":"2025-08-01","current":42.506232,"twenty":31.495412,"median":44.879895,"eighty":57.329341,"marketCap":38939959567},{"date":"2025-08-08","current":40.342107,"twenty":31.495412,"median":44.838742,"eighty":57.120315,"marketCap":36957404128},{"date":"2025-08-15","current":40.827091,"twenty":31.495412,"median":44.759082,"eighty":56.602099,"marketCap":37401697736},{"date":"2025-08-22","current":41.46916,"twenty":31.495412,"median":44.676361,"eighty":56.378401,"marketCap":37989897764},{"date":"2025-08-29","current":40.5968,"twenty":31.495412,"median":44.648948,"eighty":55.977115,"marketCap":37190728130},{"date":"2025-09-05","current":41.185491,"twenty":31.49217,"median":44.578273,"eighty":55.453109,"marketCap":37730027918},{"date":"2025-09-12","current":40.604425,"twenty":31.495412,"median":44.434698,"eighty":55.153545,"marketCap":37197713879},{"date":"2025-09-19","current":37.415428,"twenty":31.495412,"median":44.381895,"eighty":54.99723,"marketCap":34276273835},{"date":"2025-09-26","current":37.22174,"twenty":31.495412,"median":44.283417,"eighty":54.325308,"marketCap":34098835822},{"date":"2025-10-03","current":37.735701,"twenty":31.495412,"median":44.191079,"eighty":53.896025,"marketCap":34569675274},{"date":"2025-10-10","current":36.796235,"twenty":31.495412,"median":44.126374,"eighty":52.758782,"marketCap":33709031053},{"date":"2025-10-17","current":34.934081,"twenty":31.495412,"median":44.051345,"eighty":52.671356,"marketCap":32003111257},{"date":"2025-10-24","current":35.807966,"twenty":31.495412,"median":43.97475,"eighty":52.527109,"marketCap":32803678041},{"date":"2025-10-31","current":32.910983,"twenty":31.479201,"median":43.876194,"eighty":52.4735,"marketCap":30327471232},{"date":"2025-11-07","current":32.195593,"twenty":31.479201,"median":43.823813,"eighty":52.319355,"marketCap":29668238975},{"date":"2025-11-14","current":32.923083,"twenty":31.479201,"median":43.771575,"eighty":52.319355,"marketCap":30338621037},{"date":"2025-11-21","current":33.558313,"twenty":31.479201,"median":43.705135,"eighty":52.319355,"marketCap":30923985831},{"date":"2025-11-28","current":34.040786,"twenty":31.479201,"median":43.656115,"eighty":52.319355,"marketCap":31368584329},{"date":"2025-12-05","current":33.590075,"twenty":31.479201,"median":43.597612,"eighty":52.319355,"marketCap":30953254071},{"date":"2025-12-12","current":32.712852,"twenty":31.479201,"median":43.528878,"eighty":52.319355,"marketCap":30144893165},{"date":"2025-12-19","current":33.057691,"twenty":31.479201,"median":43.486439,"eighty":52.319355,"marketCap":30462662624},{"date":"2025-12-26","current":33.10004,"twenty":31.479201,"median":43.463359,"eighty":52.319355,"marketCap":30501686944},{"date":"2026-01-02","current":33.832067,"twenty":31.479201,"median":43.406415,"eighty":52.319355,"marketCap":31176250183},{"date":"2026-01-09","current":33.705021,"twenty":31.479201,"median":43.358288,"eighty":52.319355,"marketCap":31059177224},{"date":"2026-01-16","current":33.584025,"twenty":31.479201,"median":43.28999,"eighty":52.319355,"marketCap":30947679168},{"date":"2026-01-23","current":33.047104,"twenty":31.479201,"median":43.239374,"eighty":52.319355,"marketCap":30452906545},{"date":"2026-01-30","current":32.758226,"twenty":31.479201,"median":43.17663,"eighty":52.319355,"marketCap":30186704936},{"date":"2026-02-06","current":27.931987,"twenty":31.269999,"median":43.14446,"eighty":52.319355,"marketCap":25739326227},{"date":"2026-02-13","current":27.072914,"twenty":31.153235,"median":43.077958,"eighty":52.319355,"marketCap":24947690030},{"date":"2026-02-20","current":27.927044,"twenty":31.068906,"median":43.041115,"eighty":52.319355,"marketCap":25366133784},{"date":"2026-02-27","current":30.774572,"twenty":30.880786,"median":43.033205,"eighty":52.319355,"marketCap":27952544184},{"date":"2026-03-06","current":32.077602,"twenty":30.880786,"median":43.033205,"eighty":52.319355,"marketCap":29136085583},{"date":"2026-03-13","current":30.075979,"twenty":30.848988,"median":43.033205,"eighty":52.319355,"marketCap":27318011499},{"date":"2026-03-20","current":30.630298,"twenty":30.832812,"median":43.033205,"eighty":52.319355,"marketCap":27821499390},{"date":"2026-03-27","current":28.209519,"twenty":30.630298,"median":43.033205,"eighty":52.319355,"marketCap":25622705696},{"date":"2026-04-02","current":27.867815,"twenty":30.45826,"median":43.033205,"eighty":52.319355,"marketCap":25312336448},{"date":"2026-04-10","current":24.433338,"twenty":30.313185,"median":43.033205,"eighty":52.319355,"marketCap":22192800803},{"date":"2026-04-17","current":25.71695,"twenty":30.0829,"median":43.033205,"eighty":52.319355,"marketCap":23358705574},{"date":"2026-04-24","current":25.548205,"twenty":29.942045,"median":43.033205,"eighty":52.319355,"marketCap":23205434947},{"date":"2026-05-01","current":26.557042,"twenty":29.748465,"median":43.033205,"eighty":52.319355,"marketCap":24172219261},{"date":"2026-05-08","current":25.146347,"twenty":29.668199,"median":43.029902,"eighty":52.319355,"marketCap":22888205229},{"date":"2026-05-15","current":22.576868,"twenty":29.486108,"median":43.029902,"eighty":52.319355,"marketCap":20549465385},{"date":"2026-05-22","current":24.701547,"twenty":29.279703,"median":43.029902,"eighty":52.319355,"marketCap":22483347744},{"date":"2026-05-29","current":24.877164,"twenty":29.184583,"median":43.031554,"eighty":52.349534,"marketCap":22643194388},{"date":"2026-06-05","current":25.910713,"twenty":29.070145,"median":43.029902,"eighty":52.319355,"marketCap":23583931200},{"date":"2026-06-12","current":26.19861,"twenty":28.802595,"median":43.029902,"eighty":52.319355,"marketCap":23845974880},{"date":"2026-06-18","current":25.241353,"twenty":28.662502,"median":43.029902,"eighty":52.319355,"marketCap":22974679644},{"date":"2026-06-26","current":25.484626,"twenty":28.445861,"median":43.031554,"eighty":52.349534,"marketCap":23196106553},{"date":"2026-07-02","current":26.446201,"twenty":28.308366,"median":43.031554,"eighty":52.349534,"marketCap":24071332444},{"date":"2026-07-10","current":26.919792,"twenty":28.149772,"median":43.031554,"eighty":52.349534,"marketCap":24502394298},{"date":"2026-07-17","current":29.004165,"twenty":28.106856,"median":43.031554,"eighty":52.349534,"marketCap":26399590541},{"date":"2026-07-24","current":27.806514,"twenty":28.056638,"median":43.027499,"eighty":52.349534,"marketCap":25309488832},{"date":"2026-07-31","current":29.448625,"twenty":28.055373,"median":43.025096,"eighty":52.379714,"marketCap":26076757004},{"date":"2026-08-07","current":27.890574,"twenty":28.031,"median":42.967428,"eighty":52.379714,"marketCap":24697103277},{"date":"2026-08-14","current":27.330558,"twenty":28.013935,"median":42.945313,"eighty":52.379714,"marketCap":24201208871},{"date":"2026-08-21","current":27.586313,"twenty":27.93001,"median":42.92693,"eighty":52.379714,"marketCap":24427680332},{"date":"2026-08-28","current":28.077246,"twenty":27.888906,"median":42.874101,"eighty":52.379714,"marketCap":24862401412},{"date":"2026-09-04","current":28.015512,"twenty":27.880047,"median":42.813647,"eighty":52.379714,"marketCap":24807735887},{"date":"2026-09-11","current":25.84894,"twenty":27.823333,"median":42.7736,"eighty":52.379714,"marketCap":22889236270}],"updateTime":1789285421651},"$inf$@#url:\"https://stock-news.skytigris.cn/v2/news/list\",params:#symbols:\"VRSK\",pageSize:20,pageCount:2,lang_content:\"cn\",edition:\"fundamental\",,,undefined,":[{"items":[{"id":"2654019813","title":"分析-為什麼厄爾尼諾現象預示颶風季將較為平靜,但這對保險公司來説未必是好消息","url":"https://stock-news.laohu8.com/highlight/detail?id=2654019813","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2654019813?lang=zh_tw&edition=fundamental","pubTime":"2026-07-27 18:01","pubTimestamp":1785146474,"startTime":"0","endTime":"0","summary":"美国政府科学家表示,厄尔尼诺现象于6月出现,这也恰逢大西洋飓风季的开始。他们预计2026年的飓风季 将低于平均水平,预计将出现8至14场命名风暴,以及1至3场重大飓风。相比之下,该研究所指出,2020年这一创纪录的飓风季虽非厄尔尼诺年,但出现了30场命名风暴、14场飓风和7场大型飓风,造成的保险损失仅约300亿美元,这主要是因为这些风暴未袭击人口稠密地区。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260727:nL4T43T0O3:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU0823417737.USD","BK4588","BK4173","MRSH","LU0950375773.USD","LU0323239441.USD","LU2506951958.HKD","LU2506952170.USD","BK4123","LU2506951875.HKD","LU2506952097.USD","BK4585","LU0823417653.USD","FDIQ","VRSK","LU0323240290.USD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2654031677","title":"下周關注焦點——7月27日,星期一","url":"https://stock-news.laohu8.com/highlight/detail?id=2654031677","media":"路透中文","labels":["dataReport"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2654031677?lang=zh_tw&edition=fundamental","pubTime":"2026-07-25 02:33","pubTimestamp":1784917997,"startTime":"0","endTime":"0","summary":"下周关注焦点——7月27日,星期一《今日要闻》是一份通过电子邮件和PDF形式发布的刊物,内容涵盖当日主要新闻、事件、分析及其他专题报道。亚马逊发布第二季度财报时,其电子商务业务的状况也将成为关注焦点。定于周二公布的美国经济咨询局7月消费者信心指数预计为92,高于前值的91.2。劳工部将在本周结束时公布第二季度就业成本指数,预计将上升0.8%。Cboe预计将于周五公布第二季度财报,显示营收和利润均有所增长。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260724:nL4S43Q1IV:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"dataReport","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["MA","META","SBUX","UGE","OGIG","MSFW","SOLS","ERX","CL","VLO","MO","CMG","MDLZ","XLC","TEXU","CVX","MAS","SOCL","CHD","MSFL","MSFO","PEJ","METU","PYPL","HLT","MSFX","VOX","IVZ","METV","NCLH","OWL","MSFT","XDAT","YUM","FDIQ","DINO","MSFY","NULC","PG","KO","GAMR","BEN","ROM","SOFI","TYLG","VRSK","XLF","PSP","FDRV","RIVN"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2654031672","title":"下周關注焦點——7月27日,星期一","url":"https://stock-news.laohu8.com/highlight/detail?id=2654031672","media":"路透中文","labels":["dataReport"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2654031672?lang=zh_tw&edition=fundamental","pubTime":"2026-07-25 02:33","pubTimestamp":1784917997,"startTime":"0","endTime":"0","summary":"下周关注焦点——7月27日,星期一《今日要闻》是一份通过电子邮件和PDF形式发布的刊物,内容涵盖当日主要新闻、事件、分析及其他专题报导。亚马逊发布第二季度财报时,其电子商务业务的状况也将成为关注焦点。定于周二公布的美国经济咨询局7月消费者信心指数预计为92,高于前值的91.2。劳工部将在本周结束时公布第二季度就业成本指数,预计将上升0.8%。Cboe预计将于周五公布第二季度财报,显示营收和利润均有所增长。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260724:nL4T43Q1IV:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"dataReport","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["YUM","TDIV","DINO","FINX","METU","SOLS","TNGY","RSPG","IPAY","PSP","FTXG","STBQ","SOFI","NICO","MDLZ","BEN","META","MO","RSPC","CHD","OWL","XLF","CMG","HLT","PYPL","PG","SBUX","MSFT","NCLH","TTXU","XDAT","XLK","FTXN","DIG","KO","CL","ERX","RIVN","MAS","VRSK","ROM","CMGG","XLC","IYG","VLO","CVX","CNEQ","MA","IVZ","PBJ"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1156502734","title":"財報前瞻|Verisk Analytics本季營收預計增4.59%,機構觀點偏正面","url":"https://stock-news.laohu8.com/highlight/detail?id=1156502734","media":"财报Agent","labels":["earningPreview"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1156502734?lang=zh_tw&edition=fundamental","pubTime":"2026-07-22 10:06","pubTimestamp":1784685973,"startTime":"0","endTime":"0","summary":"Verisk Analytics将于2026年07月29日发布新季度财报,市场关注盈利能力与定价韧性带来的稳健增长表现。市场一致预期本季度Verisk Analytics营收为8.04亿美元,同比增长4.59%;EBIT为3.75亿美元,同比增长7.24%;调整后每股收益为1.93美元,同比增长9.01%。上季度Verisk Analytics实现营收7.83亿美元,同比增长3.93%;毛利率69.77%;归属于母公司股东的净利润为2.34亿美元,净利率29.93%;调整后每股收益1.82美元,同比增长5.20%。","market":"sh","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":"财报前瞻|Verisk Analytics本季营收预计增4.59%,机构观点偏正面","news_tag":"earningPreview","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["VRSK"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2648820026","title":"地震發生近八天後,救援人員從委內瑞拉的廢墟中救出一名倖存男子","url":"https://stock-news.laohu8.com/highlight/detail?id=2648820026","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2648820026?lang=zh_tw&edition=fundamental","pubTime":"2026-07-03 02:15","pubTimestamp":1783016149,"startTime":"0","endTime":"0","summary":"据萨尔瓦多总统纳伊布·布克莱称,从九层高的加莱里亚斯·普拉亚格兰德购物中心废墟中营救埃尔南·阿尔贝托·吉尔的行动于周一展开。布克莱一直在X平台发布有关此次行动的最新进展,参与救援的队伍还包括来自智利、美国、葡萄牙、墨西哥、哥斯达黎加和委内瑞拉的团队。周四上午,吉尔被担架抬出废墟,送上救护车,现场的救援人员和记者们欢呼雀跃。尽管如此,灾后救援工作仍主要由平民主导,其中许多人是志愿者。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260702:nL4T4341GH:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4588","LU0323239441.USD","LU0823417737.USD","BK4123","VRSK","LU0950375773.USD","LU2506952097.USD","LU0823417653.USD","LU2506951875.HKD","LU2506952170.USD","LU2506951958.HKD","LU0323240290.USD","BK4585"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2648682007","title":"地震發生近八天後,救援人員從委內瑞拉的廢墟中救出一名倖存男子","url":"https://stock-news.laohu8.com/highlight/detail?id=2648682007","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2648682007?lang=zh_tw&edition=fundamental","pubTime":"2026-07-03 02:15","pubTimestamp":1783016149,"startTime":"0","endTime":"0","summary":"据萨尔瓦多总统纳伊布·布克莱称,从九层高的加莱里亚斯·普拉亚格兰德购物中心废墟中营救埃尔南·阿尔贝托·吉尔的行动于周一展开。布克莱一直在X平台发布有关此次行动的最新进展,参与救援的队伍还包括来自智利、美国、葡萄牙、墨西哥、哥斯达黎加和委内瑞拉的团队。周四上午,吉尔被担架抬出废墟,送上救护车,现场的救援人员和记者们欢呼雀跃。尽管如此,灾后救援工作仍主要由平民主导,其中许多人是志愿者。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260702:nL4S4341GH:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU0823417653.USD","LU2506952097.USD","LU2506951958.HKD","LU0950375773.USD","VRSK","BK4585","BK4123","LU2506951875.HKD","LU2506952170.USD","BK4588","LU0823417737.USD","LU0323240290.USD","LU0323239441.USD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2648506485","title":"Verisk估計,委內瑞拉地震造成的經濟損失超過100億美元","url":"https://stock-news.laohu8.com/highlight/detail?id=2648506485","media":"路透中文","labels":["shareholding"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2648506485?lang=zh_tw&edition=fundamental","pubTime":"2026-07-02 17:58","pubTimestamp":1782986323,"startTime":"0","endTime":"0","summary":"Verisk估计,委内瑞拉地震造成的经济损失超过100亿美元路透7月2日-灾难与风险建模公司Verisk周四表示,预计委内瑞拉地震造成的经济损失将超过100亿美元。具体情况如下:6月24日,两场强烈地震袭击了委内瑞拉中北部人口稠密地区附近。该公司补充称,此次事件的保险损失估算存在比往常更高的不确定性。Verisk列举了宏观经济状况、高通胀率、低保险渗透率以及与制裁相关的市场复杂性等因素,称这些因素影响了风险建模。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260702:nL4T4340SL:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"shareholding","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU0823417653.USD","LU2506951875.HKD","LU2506951958.HKD","LU0823417737.USD","LU0323240290.USD","LU0950375773.USD","VRSK","LU2506952170.USD","LU0323239441.USD","LU2506952097.USD","BK4588","BK4585","BK4123"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1171267959","title":"韋萊斯珂預估:6月24日委內瑞拉地震序列所致經濟損失將超百億美元","url":"https://stock-news.laohu8.com/highlight/detail?id=1171267959","media":"美股速递","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1171267959?lang=zh_tw&edition=fundamental","pubTime":"2026-07-02 17:05","pubTimestamp":1782983114,"startTime":"0","endTime":"0","summary":"韦莱斯珂分析公司初步评估显示,由6月24日发生在委内瑞拉的地震序列所引发的直接与间接经济损失,预计将突破100亿美元大关。这一估算涵盖了基础设施损毁、商业活动中断以及由此产生的广泛社会经济影响。灾害的严重性凸显了该地区面临的重大重建挑战与潜在的经济压力。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["VRSK","LU0950375773.USD","LU2506951875.HKD","LU2506952170.USD","BK4588","BK4585","BK4123","LU0823417737.USD","LU2506952097.USD","LU0823417653.USD","LU0323239441.USD","LU2506951958.HKD","LU0323240290.USD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2642266566","title":"熱門話題-Astera Labs、CoreWeave等公司因入選納斯達克100指數而股價上漲","url":"https://stock-news.laohu8.com/highlight/detail?id=2642266566","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2642266566?lang=zh_tw&edition=fundamental","pubTime":"2026-06-12 16:52","pubTimestamp":1781254367,"startTime":"0","endTime":"0","summary":"由于自动化翻译可能有误,或未能包含所需语境,路透不保证自动化翻译文本的准确性,仅是为了便利读者而提供自动化翻译。对于因为使用自动化翻译功能而造成的任何损害或损失,路透不承担任何责任。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260612:nL4S42K0KW:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4548","LU1861559042.SGD","LU0390134368.USD","LU0320765489.SGD","LU0957808578.USD","CORD","LU2506952097.USD","BK4559","LU0821914370.USD","RKLB","LU1642822529.SGD","LU2286300806.USD","LU2290526834.HKD","LU2506951958.HKD","LU0070302665.USD","LU0444971666.USD","LU0130102774.USD","LU0197229882.USD","RKLX","IE00BN0W2T93.GBP","BK4139","TERG","BK4564","LU0320765992.SGD","TER","LU0289960550.SGD","LU0006061336.USD","LU2089985449.USD","NBIG","LU0329931173.USD","LU1839511570.USD","LU2506952170.USD","CWVX","BK4585","LU0950375773.USD","NEBX","IE00BMPRXN33.USD","LU0823417737.USD","LU2931357623.SGD","BK4123","LU0130103400.USD","CRWU","IE00BN0W2W23.USD","LU1201861165.SGD","BK4097","CRWV","LU0175139822.USD","LU1861220033.SGD","BK4100","LU1861215975.USD","LU0323240290.USD","LU0072462343.USD","LABX","NBIL","LU0274383776.USD","LU0323239441.USD","LU0287143357.SGD","LU0980610538.SGD","LU0708995666.HKD","BK4609","BK4147","CRWG","CTSH","LU0536402901.SGD","NBIZ","CHTR","LU0950373646.USD","BK4141","LU1048588211.SGD","LU2125909916.SGD","LU0109394709.USD","LU2087621335.USD","LU0211331839.USD","LU0531971165.HKD","BK4134","BK4543","VRSK","LU0130517989.USD","LU0231203729.USD","LU1923622291.USD","LU0823431647.USD","BK4615","LU1267930656.SGD","BK4588","BK4560","LU2506951875.HKD","IE00BN0W2V16.EUR","LU0702159699.USD","NBIS","LU2360107168.USD","LU0823431563.USD","BK4534","LU1815336760.USD","BK4187","LU1048596156.SGD","LU0889565916.HKD","LU0208291251.USD","LU0053671581.USD","LU0329931090.USD","CWII","LU0648001328.SGD","LU0477156953.USD","LU0648000940.SGD","INSM","LU0477156797.USD","ALAB","BK4077","LU1805238398.USD","ZS","LU0702159343.USD","LU0823417653.USD","LU1166156734.SGD","LU2125909759.SGD","RKLZ","LU1201861249.SGD","LU0130518102.USD","BK4116","LU1861558580.USD","IE00BMPRXR70.SGD","IE00BMPRXQ63.HKD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1139262220","title":"Verisk通過全新Synergy Studio平台交付重新設計的颶風模型,重新定義美國颶風風險建模","url":"https://stock-news.laohu8.com/highlight/detail?id=1139262220","media":"美股速递","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1139262220?lang=zh_tw&edition=fundamental","pubTime":"2026-06-01 20:45","pubTimestamp":1780317922,"startTime":"0","endTime":"0","summary":"Verisk Analytics 凭借其重新设计的飓风模型,正在重塑美国飓风风险的评估方式。该模型通过其新推出的Synergy Studio平台交付,标志着公司在风险建模领域的一次重大革新。这一经过重新设计的模型整合了最新的气候数据与先进算法,旨在提供更精准、更动态的飓风风险预测。Synergy Studio平台的引入,使得用户能够更便捷地访问和运用这一复杂模型。此次模型更新与平台发布,凸显了Verisk在利用技术创新推动风险管理行业发展的持续努力。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU2506952170.USD","LU0823417653.USD","LU0323239441.USD","BK4588","LU0950375773.USD","LU0323240290.USD","VRSK","BK4123","LU2506952097.USD","LU0823417737.USD","LU2506951875.HKD","BK4585","LU2506951958.HKD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2638304517","title":"Verisk(VRSK)與KatRisk達成協議 共同推進巨災風險建模生態系統升級","url":"https://stock-news.laohu8.com/highlight/detail?id=2638304517","media":"金吾财讯","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2638304517?lang=zh_tw&edition=fundamental","pubTime":"2026-05-26 20:53","pubTimestamp":1779800003,"startTime":"0","endTime":"0","summary":"据介绍,Verisk模型交易所是一个由第三方主导、独立于具体供应商的巨灾风险建模平台。随着KatRisk的加入,该平台可扩大对全球自然灾害风险的第三方模型的获取范围,帮助保险公司和再保险公司比较独立的风险观点,并支持更透明、更可靠的承保、投资组合管理和资本决策。","market":"sg","thumbnail":"https://static.szfiu.com/news/20250107/ZWU5OWQwM2E0MjY1ODI1NjNmZDJjN2ZmZWQ3OTIxNzAyOTY4MjgwNQ==.png","type":0,"news_type":0,"thumbnails":["https://static.szfiu.com/news/20250107/ZWU5OWQwM2E0MjY1ODI1NjNmZDJjN2ZmZWQ3OTIxNzAyOTY4MjgwNQ==.png"],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"300813","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4585","BK4588","LU0323240290.USD","LU2506952097.USD","BK4123","LU2506951875.HKD","LU2506952170.USD","VRSK","LU0823417653.USD","LU0950375773.USD","LU2506951958.HKD","LU0323239441.USD","LU0823417737.USD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1180685550","title":"Katrisk宣佈加入Verisk模型交易所協議,推動巨災風險建模生態系統開放訪問","url":"https://stock-news.laohu8.com/highlight/detail?id=1180685550","media":"美股速递","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1180685550?lang=zh_tw&edition=fundamental","pubTime":"2026-05-26 20:15","pubTimestamp":1779797721,"startTime":"0","endTime":"0","summary":"Katrisk已宣布签署协议,将加入Verisk模型交易所。此举旨在推动巨灾风险建模生态系统实现更广泛的开放访问。\n该协议标志着Katrisk正式接入Verisk Analytics运营的模型交换平台。通过参与这一生态系统,Katrisk的建模能力将与行业平台进一步整合,有望提升巨灾风险模型的透明度、可用性和协作效率。\n这一合作顺应了保险与风险管理行业对开放数据及模型共享日益增长的需求。它有助于促进风险建模工具的普及,使更广泛的用户能够获取先进的巨灾风险分析资源。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU2506951875.HKD","BK4588","LU0323240290.USD","LU2506952097.USD","LU2506951958.HKD","LU2506952170.USD","LU0323239441.USD","BK4585","BK4123","LU0823417653.USD","LU0950375773.USD","VRSK","LU0823417737.USD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2634401512","title":"Verisk(VRSK)攜手合作夥伴在英國推出全新數字保險品牌","url":"https://stock-news.laohu8.com/highlight/detail?id=2634401512","media":"金吾财讯","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2634401512?lang=zh_tw&edition=fundamental","pubTime":"2026-05-11 16:48","pubTimestamp":1778489323,"startTime":"0","endTime":"0","summary":"金吾财讯 | 5月11日消息,美股数据保险科技巨头Verisk(VRSK)联合One Call与Applied Systems,在英国共同推出纯数字化保险品牌Zen Insurance。该品牌主打无接触线上车险服务,依托Verisk云端保单管理平台,实现保险全流程自动化运营。同时借助Applied系统一键对接30余家保险机构及超百款保险产品,大幅简化合作对接流程、缩短新品上市周期。Zen以全线上自助服务模式降低运营成本,惠及终端消费者,后续还将拓展其他车辆险及家财险品类,进一步布局英国数字保险市场。","market":"fut","thumbnail":"https://static.szfiu.com/news/20250107/MDE2NGUxYWJlMGQ4OGQwMTU5ZTY5YzEzNTY0MzU1Mzgx.png","type":0,"news_type":0,"thumbnails":["https://static.szfiu.com/news/20250107/MDE2NGUxYWJlMGQ4OGQwMTU5ZTY5YzEzNTY0MzU1Mzgx.png"],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"300232","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU0323240290.USD","LU0823417737.USD","LU2506952097.USD","BK4123","LU2506952170.USD","VRSK","LU2506951875.HKD","BK4588","LU0323239441.USD","LU0950375773.USD","BK4585","LU2506951958.HKD","LU0823417653.USD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1131952899","title":"數字優先保險公司Zen Insurance通過攜手Applied Systems、One Call與Verisk在英國市場正式上線","url":"https://stock-news.laohu8.com/highlight/detail?id=1131952899","media":"美股速递","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1131952899?lang=zh_tw&edition=fundamental","pubTime":"2026-05-11 15:17","pubTimestamp":1778483833,"startTime":"0","endTime":"0","summary":"数字优先的保险服务商Zen Insurance,通过与Applied Systems、One Call以及Verisk Analytics的全新合作,正式在英国市场推出其服务。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4585","LU0323239441.USD","BK4588","LU0323240290.USD","LU0823417653.USD","LU2506951875.HKD","LU2506952097.USD","LU2506952170.USD","VRSK","LU2506951958.HKD","LU0950375773.USD","LU0823417737.USD","BK4123"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1191778036","title":"異動解讀 | Verisk Analytics盤中大漲5.29%,一季度業績超預期成主因","url":"https://stock-news.laohu8.com/highlight/detail?id=1191778036","media":"异动解读","labels":["movement"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1191778036?lang=zh_tw&edition=fundamental","pubTime":"2026-04-29 21:35","pubTimestamp":1777469744,"startTime":"0","endTime":"0","summary":"数据分析公司Verisk Analytics(VRSK)今日盘中股价大幅上涨5.29%,引起了市场的高度关注。消息面上,公司于盘前发布了2026年第一季度财报,业绩表现强劲,超出市场预期。财报显示,公司营收和调整后每股收益均实现同比增长,并得益于保险公司对风险评估数据分析产品的强劲需求。具体来看,Verisk第一季度营收达到7.83亿美元,调整后每股收益为1.82美元,双双高于分析师此前的预测。公司同时重申了2026年全年的业绩指引,增强了投资者对公司未来增长前景的信心,从而推动了股价在交易时段内显著上扬。","market":"sg","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"movement","news_rank":0,"length":0,"strategy_id":0,"source":"ai_movement_cn","symbols":["VRSK"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2631701515","title":"得益於對分析服務需求的強勁增長,Verisk第一季度業績超出預期","url":"https://stock-news.laohu8.com/highlight/detail?id=2631701515","media":"路透中文","labels":["shareholding"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2631701515?lang=zh_tw&edition=fundamental","pubTime":"2026-04-29 19:52","pubTimestamp":1777463521,"startTime":"0","endTime":"0","summary":"得益于对分析服务需求的强劲增长,Verisk第一季度业绩超出预期路透4月29日 - Verisk Analytics VRSK.O 周三公布了优于预期的第一季度业绩,这主要得益于保险公司用于评估保单风险的数据分析产品需求强劲。根据伦敦证券交易所集团汇编的数据,维瑞斯克本季度经调整后每股收益为1.82美元,高于1.74美元的预期。其第一季度营收同比增长3.9%至7.83亿美元,高于7.714亿美元的预期。对于因为使用自动化翻译功能而造成的任何损害或损失,路透不承担任何责任。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260429:nL4T41C1F9:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"shareholding","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU2506952170.USD","LU0323240290.USD","LU0823417737.USD","LU0950375773.USD","VRSK","BK4123","BK4585","LU0323239441.USD","BK4588","LU2506951875.HKD","LU2506951958.HKD","LU2506952097.USD","LU0823417653.USD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2631906515","title":"Verisk(VRSK)一季度每股收益按年增長4.8%至1.73美元 盤前上揚3.02%","url":"https://stock-news.laohu8.com/highlight/detail?id=2631906515","media":"金吾财讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2631906515?lang=zh_tw&edition=fundamental","pubTime":"2026-04-29 19:32","pubTimestamp":1777462371,"startTime":"0","endTime":"0","summary":"财报显示,一季度Verisk实现营收7.83亿美元,同比增长3.9%,有机恒定汇率下增长4.7%;净利润2.34亿美元,同比微增0.8%;调整后EBITDA为4.38亿美元,同比增长5.0%,OCC基础上增长5.9%,调整后EBITDA利润率达55.9%,体现出较强的成本管控能力。此外,公司重申2026年全年指引,预计营收31.9亿至32.4亿美元,调整后EBITDA 17.9亿至18.3亿美元,稀释后调整后每股收益7.45至7.75美元。截至发稿,Verisk美股盘前上涨3.02%,报182美元。","market":"other","thumbnail":"https://static.szfiu.com/news/20250107/YmI1NjBhYTU5MWI5ZWU1NjUzMTczNjIzMDkxNzMzMg==.jpg","type":0,"news_type":0,"thumbnails":["https://static.szfiu.com/news/20250107/YmI1NjBhYTU5MWI5ZWU1NjUzMTczNjIzMDkxNzMzMg==.jpg"],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"299837","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU0823417737.USD","BK4123","LU0823417653.USD","LU0950375773.USD","LU2506951958.HKD","UUP","BK4585","VRSK","LU2506952097.USD","LU0323240290.USD","LU2506952170.USD","BK4588","LU0323239441.USD","LU2506951875.HKD","UDN"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2631587719","title":"明日關注焦點——4月29日(星期三)","url":"https://stock-news.laohu8.com/highlight/detail?id=2631587719","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2631587719?lang=zh_tw&edition=fundamental","pubTime":"2026-04-29 02:32","pubTimestamp":1777401127,"startTime":"0","endTime":"0","summary":"明日关注焦点——4月29日(星期三)《今日要闻》是一份通过电子邮件和PDF形式发布的刊物,内容涵盖未来一天的主要新闻、事件、分析及其他专题报道。住房开工量预计将降至140万套,而建筑许可数量可能小幅上升至139万份。Allstate将公布第一季度财报,投资者将密切关注管理层对财产险和意外险定价趋势的评论。在拉丁美洲,巴西央行预计将把塞利克利率下调25个基点至14.5%。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260428:nL4S41B2IQ:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4524","IE00BVYPNP33.GBP","QCOM","LU1066051498.USD","HK0000304797.USD","IE00BMPRXQ63.HKD","LU1046421795.USD","LU1400636574.HKD","LU1721429741.USD","IE000F7OJYX1.SGD","LU0175139822.USD","LU0742534661.SGD","LU1804176565.USD","LU0289739343.SGD","LU0823417737.USD","LU2462591350.SGD","IE0009355771.USD","LU0130517989.USD","LU2477742899.HKD","LU0267386448.USD","LU1935042991.SGD","IE00B42XCP33.USD","LU0208291251.USD","LU1551013342.USD","LU1861220033.SGD","LU0795875086.SGD","LU2290526834.HKD","LU2543165471.USD","SG9999001424.SGD","IE00B4R5TH58.HKD","BK4231","LU0823434740.USD","LU1670628061.USD","IE00BD4GTV84.USD","LU1323610961.USD","LU0143551892.USD","LU1868836757.USD","LU1221951129.SGD","LU0072461881.USD","LU1861559042.SGD","LU2491049909.HKD","LU2468319806.SGD","LU1839511570.USD","AMZD","LU0158827948.USD","LU1732800096.USD","BK4527","BK4138","IE00BFMHRM44.USD","LU0942090050.USD","BK4588","LU0787776722.HKD","GB00B4LPDJ14.GBP","IE00BDRTCR15.USD","LU2746668974.SGD","LU0823434583.USD","LU2265009873.SGD","BK4154","LU2125909247.SGD","LU0289960550.SGD","LU2065170008.USD","LU1119994496.HKD","IE00BN8TJ469.HKD","IE00BJT1NW94.SGD","LU2242649171.HKD","LU0648001328.SGD","IE00B19Z8X17.USD","LU2237443622.USD","SGXZ23171101.USD","LU1291159041.SGD","AZYY","IE00BKVL7J92.USD","LU0511384066.AUD","LU1861215975.USD","LU1988902786.USD","IE000BZT7R73.USD","IE0001KFT4U8.USD","LU1571399168.USD","LU0784385840.USD","LU1037948897.HKD","LU1815336760.USD","LU2506952170.USD","LU2360032135.SGD","LU2023250843.SGD","LU2168564222.USD","LU0868494708.USD","LU2168564495.EUR","LU2746668461.USD","LU2764263203.CNY","LU0128525689.USD","LU0957791311.USD","LU2756315664.SGD","LU1093756325.SGD","LU1823568750.SGD","SG9999004303.SGD","LU1121112475.USD","LU0320765992.SGD","HK0000304805.HKD","KLAC","BK4581","LU2065171311.SGD","LU0345774631.USD","LU2347655156.SGD","LU0320765646.SGD","LU2023250330.USD","LU2720916845.USD","LU0868494617.USD","IE00B19Z8W00.USD","LU0251132253.USD","LU1934455863.HKD","LU0390134368.USD","HK0000914686.HKD","LU1316542783.SGD","SG9999014880.SGD","LU0061475181.USD","LU1162221912.USD","LU1116320737.USD","LU1232071149.USD","LU1854104046.USD","BK4574","SGXZ51526630.SGD","LU0353189763.USD","LU0098860793.USD","LU2111349929.HKD","LU0130103400.USD","IE00BMG7P819.SGD","LU0354030511.USD","LU1983299246.USD","LU0342679015.USD","LU0821914370.USD","LU0957808578.USD","LU1543694498.USD","LU1854103824.USD","BK4592","LU0345770308.USD","LU0081259029.USD","LU1093756168.USD","LU2361045086.USD","IE00BVYPNW00.USD","LU2764262908.HKD","LU0642271901.SGD","LU1267930813.SGD","BK4596","LU2471134523.USD","LU2491050154.USD","LU0316494557.USD","LU1935043536.SGD","LU2264538146.SGD","LU0070302665.USD","SG9999001077.SGD","LU0096362180.USD","LU1934455277.USD","LU2089284900.SGD","AMZN","LU0203345920.USD","LU1620156130.USD","IE00BQXX3C00.GBP","AMZW","LU1917777945.USD","LU2506952337.HKD","LU0289739699.SGD","LU2430703095.HKD","IE0002270589.USD","BK4077","IE000SO60NU8.SGD","LU2403377893.USD","LU1084165304.USD","HK0000532082.HKD","LU0976567544.SGD","LU1623119135.USD","LU1861558580.USD","LU2275660780.HKD","IE00BQXX3D17.EUR","LU0029864427.USD","LU0702159699.USD","LU0708995666.HKD","QCML","LU2244417387.USD","IE00BJLML261.HKD","LU1868837136.USD","LU1989764664.SGD","BK4551","QCMU","LU1166156734.SGD","IE00BFXG0V08.USD","LU0320765059.SGD","LU0882574055.USD","LU1506573853.SGD","LU0127658192.USD","LU2602419157.SGD","BK4516","LU2168563687.JPY","LU1721429402.USD","LU0238689110.USD","USAW.SI","LU1496350171.SGD","LU2213496289.HKD","LU1935042488.USD","LU0211326839.USD","LU0345769128.USD","SGXZ81514606.USD","LU0061474960.USD","LU1196500208.SGD","LU0702159343.USD","LU0122379950.USD","SG9999003800.SGD","LU1145028129.USD","BK4123","LU2054465674.USD","IE00BGHQF631.EUR","YUM","IE0002141913.USD","IE0000B7K699.USD","GB00B4QBRK32.GBP","LU0077335932.USD","LU0719512351.SGD","LU0265550946.USD","LU0211328371.USD","IE000WAW04H5.SGD","SGXZ99366536.SGD","IE00BMG7P587.USD","LU0823417653.USD","LU0724617625.USD","LU1400636657.SGD","LU2023251221.USD","PSX","HK0000914660.USD","LU0072462426.USD","LU0994945656.USD","SG9999014906.USD","IE0003U64NQ7.SGD","IE0034235188.USD","LU1983260115.SGD","LU2360106780.USD","LU1366192091.USD","LU2237443978.SGD","LU0197229882.USD","LU1430594728.SGD","BK4134","LU1861127337.USD","LU2462591277.SGD","LU0057025933.USD","LU2065169927.USD","IE00BFSS7M15.SGD","LU0792757196.USD","LU0256863811.USD","IE0009G5SDU7.USD","IE00B1XK9C88.USD","BK4220","HUM","BK4190","PSUS","SG9999018857.SGD","LU0494093205.USD","LU1048588211.SGD","LU1280957306.USD","LU0231203729.USD","IE00BJJMRX11.SGD","LU2750360641.GBP","SG9999015952.SGD","LU1043141396.HKD","LU0689626769.HKD","SG9999015986.USD","IE000YTNTUN2.SGD","BK4503","LU1066051225.USD","GOOP","IE00B775H168.HKD","LU1852331112.SGD","SG9999014005.SGD","LU0114720955.EUR","LU1670627923.USD","LU1153585028.USD","LU0154236417.USD","BK4554","IE00BMG7P702.HKD","LU0456855351.SGD","LU2168564149.EUR","BK4533","ALL","LU2317271919.USD","IE00B2B36J28.USD","BK4080","LU0820561818.USD","LU0072462343.USD","LU0823411888.USD","LU1366333091.USD","LU0912757837.SGD","SG9999001440.SGD","LU1894683348.USD","LU1037948541.HKD","LU0211327993.USD","LU0820562030.AUD","LU2506951875.HKD","CMGG","BK4507","IE00B4YYXB79.USD","LU2860962120.EUR","IE000ITXATA3.USD","EBAY","LU1934455194.USD","IE00BQXX3F31.USD","SG9999014898.SGD","SGXZ31699556.SGD","LU2357305700.SGD","LU1642822529.SGD","LU0345768740.USD","VRSK","BK4561","LU0784385170.HKD","LU0496365809.HKD","LU0965509101.SGD","LU1674673428.USD","LU0225283273.USD","LU0274383776.USD","LU2420271590.USD","BK4519","LU2361044949.HKD","REGN","LU1267930573.SGD","BK4122","IE0004086264.USD","LU1585245621.USD","LU1202635105.USD","LU0820561909.HKD","LU1894683264.USD","LU0738911758.USD","LU2097829019.USD","LU0162691827.USD","SG9999015945.SGD","LU0950375773.USD","IE00BHPRN162.USD","LU1629891620.HKD","LU0080751232.USD","LU1720051017.SGD","IE00BMPRXN33.USD","LU0096364046.USD","LU0048573561.USD","LU2487616109.SGD","LU2362541513.USD","LU1814569148.SGD","BK4187","IE00B5949003.HKD","LU2271345857.HKD","LU0444973449.USD","LU1267930490.SGD","LU2506952410.USD","LU0323591593.USD","LU2463028550.USD","LU0965509010.AUD","LU2168564065.EUR","LU2097344431.USD","LU1670756490.USD","LU0417517546.SGD","LU0011850046.USD","SG9999002232.USD","LU2430703178.SGD","LU0289941410.SGD","LU1989772923.USD","LU0353189680.USD","LU2505996681.GBP","LU0348723411.USD","IE00B3T34201.USD","LU0109391861.USD","IE00B5TLWC47.USD","LU0312595415.SGD","GD","BK4548","IE00BVYPNV92.GBP","LU1883839398.USD","LU0061474705.USD","LU0661504455.SGD","LU0187121727.USD","BK4147","IE00B3S45H60.SGD","LU1261432733.SGD","LU1267930730.SGD","IE00BFSS8Q28.SGD","GOOW","LU0708995401.HKD","LU2362540622.SGD","LU0648000940.SGD","LU2211815571.USD","SG9999014914.USD","LU1244550221.USD","IE0034235303.USD","LU1596574779.USD","IE00BD4GTT62.SGD","LU2237443465.HKD","IE00BYQQ9H92.USD","LU0784383803.USD","LU0266013472.USD","LU0130102774.USD","IE00B7SZLL34.SGD","LU2756315318.SGD","LU1221951046.USD","LU1691799644.USD","LU0536402901.SGD","BK4585","IE00BMG7P694.USD","LU0158827781.USD","LU0256863902.USD","BK4612","GOOY","LU0006306889.USD","LU1165135440.EUR","LU0138981039.USD","IE00BLSP4452.SGD","LU0048584097.USD","LU0070217475.USD","LU0310799852.SGD","BK4538","LU0964807845.USD","LU2506952097.USD","IE00BSNM7G36.USD","SG9999015978.USD","LU1929549753.HKD","LU1674673691.USD","ETR","BK4559","LU2023250504.SGD","LU1267930227.SGD","LU1699723380.USD","LU2106854487.HKD","LU1880398554.USD","LU2404859741.USD","LU0690374615.EUR","LU1923623000.USD","LU0052756011.USD","LU0251142724.SGD","IE0004445239.USD","LU0640476718.USD","LU1023059063.AUD","LU1043141123.HKD","LU1791710582.SGD","LU1989772840.SGD","LU2471134952.CNY","IE00BJJMRY28.SGD","LU0426417589.USD","IE00BD4GTW91.USD","LU0949170426.SGD","LU1201861165.SGD","LU0689472784.USD","IE00B3SWFQ91.USD","LU2361044865.SGD","LU0943347566.SGD","GOU","KLAG","LU1989771016.USD","LU1032955483.USD","LU0476273544.USD","LU1066051811.HKD","LU2098885051.SGD","LU2125154935.USD","LU1720051108.HKD","LU2237443549.SGD","LU0094547139.USD","LU0823421333.USD","LU0211326755.USD","LU1732799900.SGD","LU0795875169.SGD","LU0985320562.USD","LU0287143357.SGD","LU2552382132.HKD","LU0466842654.USD","REG","LU1712237335.SGD","LU1235294995.USD","LU1951198990.SGD","BK4605","LU2362541273.HKD","LU2191332357.HKD","LU2505996509.AUD","GGLS","SG9999002224.SGD","LU2065171402.SGD","LU1244550494.USD","BK4606","LU1064131342.USD","LU0965508806.USD","LU0211331839.USD","IE00BFTCPJ56.SGD","LU0823421416.USD","LU0198837287.USD","LU0234570918.USD","LU0980610538.SGD","LU2237443382.USD","LU1429558221.USD","BK4534","LU2250418816.HKD","ABBV","IE0004091025.USD","LU2089984988.USD","IE000KEQY171.SGD","LU2413665964.HKD","LU0203202063.USD","LU1805238398.USD","LU2417539215.USD","IE00BDCRKT87.USD","SG9999017495.SGD","BK4139","LU0861579265.USD","LU1267930656.SGD","LU0426412945.USD","IE00BK4W5M84.HKD","LU2456880835.USD","LU0234572021.USD","MAT","IE0008368304.USD","IE00BJJMRZ35.SGD","LU0345774391.USD","QCMD","LU0786609619.USD","LU0107464264.USD","LU0683600562.USD","LU2750360997.AUD","LU1551013425.SGD","LU1496350502.SGD","BK4515","F","LU0210528500.USD","LU0302445910.USD","LU2125909593.SGD","LU0203201768.USD","LU0053666078.USD","LU0276348264.USD","LU2129689514.USD","IE00BMG7P926.USD","LU1301847155.USD","GOOGL","LU0058720904.USD","IE00BZ1G4Q59.USD","LU2242650005.HKD","LU0174119429.USD","LU2087621335.USD","LU1303367103.USD","BK4579","IE00BDGV0183.EUR","LU2357627491.SGD","IE0009356076.USD","BIIB","LU1244550577.SGD","LU2404859667.USD","BK4535","LU2089283258.USD","LU0006061336.USD","LU0210533765.USD","IE00BMPRXR70.SGD","AMZU","IE00BJTD4N35.SGD","BK4575","LU0672654240.SGD","LU1721428347.USD","LU2237957902.USD","LU2077746001.SGD","LU1951200564.SGD","LU2108987350.USD","LU2112291526.USD","SG9999000418.SGD","LU1633808545.USD","LU1923622614.USD","LU2326559502.SGD","LU0310800379.SGD","LU0477156797.USD","IE00B3PB1722.GBP","LU0079474960.USD","LU1803068979.SGD","LU0124676726.USD","LU1935042215.USD","IE00B775SV38.USD","LU2133065610.SGD","IE00BGHQDM52.EUR","BK4514","LU2506951958.HKD","LU0314106906.USD","LU1061106388.HKD","LU0345770993.USD","LU0157215616.USD","LU0203347892.USD","LU0149725797.USD","LU0308772762.SGD","LU0882574139.USD","IE00B19Z3B42.SGD","LU0965509283.SGD","LU0690374961.EUR","IE000W1ABFV2.USD","LU0210536198.USD","LU2063271972.USD","LU2237443895.HKD","BK4604","SG9999014013.SGD","LU2552382215.SGD","LU1645745479.HKD","LU1791710400.SGD","LU0069063385.USD","LU2237957811.SGD","LU0320765489.SGD","LU2236285917.USD","LU1003077747.HKD","IE00BKDWB100.SGD","IE00BYXW3230.USD","BK4566","LU0056508442.USD","LU1035775433.USD","LU2999663052.SGD","LU0170899867.USD","LU1935043023.USD","LU1074936037.SGD","LU0082616367.USD","LU0323239441.USD","LU2471134796.USD","LU2433249047.HKD","LU2125154778.USD","IE0004445015.USD","LU2129689431.USD","LU2452424414.USD","LU0314104364.USD","LU2764263039.SGD","IE0005OL40V9.USD","LU0289961442.SGD","LU0432979614.USD","GOOX","IE00B19Z3581.USD","LU0545039389.USD","LU0557290698.USD","IE00B19Z9505.USD","LU1069344957.HKD","LU2471134879.HKD","MSFT","SG9999018865.SGD","LU2092627202.USD","LU0823416689.USD","CTSH","LU2413666426.HKD","LU2491050071.SGD","LU1066053197.SGD","IE00BLSP4239.USD","IE00BBT3K403.USD","AMZY","LU0345769631.USD","LU2592432038.USD","GGLL","LU1201861249.SGD","BK4576","LU2552382058.USD","LU0528227936.USD","BK4141","LU2211817866.USD","LU1057294990.SGD","LU1116320901.HKD","LU0347712357.USD","LU0859254822.USD","BK4550","LU0109392836.USD","BK4598","HK0000819398.USD","LU1127390331.HKD","LU1620156213.USD","LU2430703251.USD","IE00BN29S564.USD","LU0788109477.HKD","LU2237438978.USD","BK4504","LU1059921491.USD","LU1868837300.USD","BK4532","LU2413666004.HKD","BK4209","LU2954938101.SGD","LU2247934214.USD","LU1400636491.USD","LU2462157665.USD","LU0215105999.USD","LU0130518102.USD","AMZP","LU0106261372.USD","IE00BJTD4V19.USD","IE00B7KXQ091.USD","LU1868836591.USD","LU0265550359.USD","LU0472753341.HKD","BK4512","IE000MB6IJN5.SGD","SG9999011175.SGD","LU0889565916.HKD","BK4081","LU0553294199.USD","LU2461242641.AUD","LU0133085943.USD","IE00B894F039.SGD","GB00BDT5M118.USD","LU1721428933.USD","LU1435385759.SGD","LU1721427968.SGD","LU1803068623.USD","LU0444971666.USD","LU1914381329.SGD","SG9999014021.USD","LU1718418525.SGD","IE0034235295.USD","LU0889565833.HKD","LU1880398471.USD","LU2381873111.SGD","LU0128525929.USD","LU0345768153.USD","BK4543","LU2028103732.USD","LU2083900584.USD","LU2097344357.USD","LU1778281490.HKD","LU0949170772.SGD","LU1048596156.SGD","LU0310800965.SGD","IE00B1BXHZ80.USD","LU2896262040.SGD","LU2089985449.USD","LU0323240290.USD","LU1974910355.USD","LU1548497426.USD","LU1815333072.USD","LU2092937148.SGD","LU0251131958.USD","CMG","LU1989764748.USD","BK4602","IE00BK4W5L77.USD","LU1868836914.USD","LU2413666699.HKD","LU0109394709.USD","LU0300736492.USD","IE00BVYPNQ40.USD","LU0784384876.USD","META","LU2360107168.USD","IE00B19Z9Z06.USD","IE00BWXC8680.SGD","LU0889566641.SGD","BK4573","LU2087625088.SGD","LU0477156953.USD","AMZZ","LU2129689605.HKD","IE00B19Z9P08.USD","LU0097036916.USD","IE00B4JS1V06.HKD","LU0708994859.HKD","IE00BKPKM429.USD","LU0354030438.USD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2630366410","title":"美國研究綜述-東西銀行集團、瑞萊斯、標普全球","url":"https://stock-news.laohu8.com/highlight/detail?id=2630366410","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2630366410?lang=zh_tw&edition=fundamental","pubTime":"2026-04-27 16:42","pubTimestamp":1777279371,"startTime":"0","endTime":"0","summary":"美国研究综述-东西银行集团、瑞莱斯、标普全球路透4月27日 - 周一,华尔街的证券分析师们上调了多家在美国上市公司的评级和目标股价,其中包括东西银行集团、瑞莱恩斯和标普全球。重点摘要 * 东西银行集团EWBC.O:Piper Sandler将目标价从111美元上调至123美元 * 瑞莱恩斯公司 RS.N:Keybanc将目标价从341美元上调至378美元 * 标普全球公司 SPGI.N:杰富瑞将目标价从500美元上调至535美元以下是路透周一报道的针对美国公司的研究报告摘要。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260427:nL4S41A0M2:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["PNFP","PFBC","ABCB","WSFS","BX","HCA","AMAL","LBRT","MATX","NOC","NSC","TSLG","TSLW","CSGP","TERN","GL","EQIX","IT","BKR","BANR","DOW","SLB","TESL","TSLA","GNRC","PFG","TMDX","TLA","CHE","TSLZ","NBHC","SPGI","SSB","CHTR","PG","VRSK","DLR","HIG","TSYY","GE","KNSL","TSLI","EWBC","LMT","CRSH","KPTI","RS","HAL"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1109337264","title":"財報前瞻|Verisk Analytics本季營收預計增2.88%,機構看多","url":"https://stock-news.laohu8.com/highlight/detail?id=1109337264","media":"财报Agent","labels":["earningPreview"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1109337264?lang=zh_tw&edition=fundamental","pubTime":"2026-04-23 00:20","pubTimestamp":1776874806,"startTime":"0","endTime":"0","summary":"Verisk Analytics将于2026年04月29日美股盘前发布最新季度财报,市场关注营收韧性、利润率走向与回购执行进展。上季度Verisk Analytics营收7.79亿美元,同比增长5.87%;毛利率69.74%;归属于母公司股东的净利润1.97亿美元;净利率25.32%;调整后每股收益1.82美元,同比增长13.04%。","market":"sh","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":"财报前瞻|Verisk Analytics本季营收预计增2.88%,机构看多","news_tag":"earningPreview","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["VRSK"],"isVideo":false,"video":null,"gpt_icon":0}],"pageSize":20,"totalPage":2,"pageCount":2,"totalSize":40,"code":"91000000","status":"200"}]}}