US StockDetailed Quotes

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Goldman Sachs

907.04

-3.7400-0.41%

Post-market: 906.66-0.3755-0.04%19:56 EST

Volume:995.32K

Turnover:903.64M

Market Cap:272.11B

PE:18.41

High:913.32

Open:911.00

Low:905.31

Close:910.78

52wk High:919.10

52wk Low:439.38

Shares:300.00M

Float Shares:300.00M

Volume Ratio:0.50

T/O Rate:0.33%

Dividend:13.00

Dividend Rate:1.43%

EPS(TTM):49.26

EPS(LYR):41.07

ROE:13.53%

ROA:0.94%

PB:2.49

PE(LYR):22.09

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Overview Company News Filings

Concept

Bridgewater Holdings+0.07%

Trump Concept-0.54%

AQR Capital Holdings+0.10%

Sequoia Capital Holdings+0.03%

Archegos Blowup Concept+0.05%

ETF & Stock Investment+0.05%

Capital Flow

Inflow:

Outflow:

News

AI-Driven Layoffs Loom as Wall Street CEOs Acknowledge Inevitable Job Cuts

How AI Could Cause Social Security to Run Out of Money Sooner Than Expected -- Barrons.com

Goldman Sachs Alerts Some Alternative Fund Clients About Data Breach at External Law Firm

Goldman Sachs' Top Tech Trader Highlights 10 Critical Questions for 2026

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Layoffs Loom as Wall Street CEOs Acknowledge Inevitable Job Cuts","url":"https://stock-news.laohu8.com/highlight/detail?id=1113265171","media":"Stock News","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1113265171?lang=en_us&edition=fundamental","pubTime":"2025-12-26 17:09","pubTimestamp":1766740171,"startTime":"0","endTime":"0","summary":"When the CEOs of Wall Street's largest banks begin discussing artificial intelligence, the entire financial world takes notice—from social media chatter to stock market reactions. Their predictions...","market":"other","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","translate_title":"","themeId":"","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":["LU0096364046.USD","IE0004086264.USD","IE0002270589.USD","BK4533","BK4528","LU2237443622.USD","LU0048573561.USD","LU2237438978.USD","LU0251142724.SGD","LU0106831901.USD","LU1868836591.USD","LU1868837136.USD","IE00B19Z3B42.SGD","LU2471134879.HKD","LU0345770993.USD","IE0004091025.USD","BK4127","BK4587","BK4585","IE00BSNM7G36.USD","LU1868836914.USD","LU1868837300.USD","LU2237443895.HKD","BK4543","BK4551","GS","LU1868836757.USD","LU2237443978.SGD","LU2471134796.USD","IE0034235188.USD","LU0345770308.USD","LU2237443382.USD","LU1804176565.USD","BK4588","IE00B19Z3581.USD","LU1668664300.SGD","LU2237443549.SGD","LU1791807156.HKD","BK4550","LU2471134952.CNY","LU2750360997.AUD","AI","BK4504","BK4552","LU0251131958.USD","IE00BFXG1179.USD","LU1894683348.USD","LU2265009873.SGD","BK4516","LU0061475181.USD","LU0742534661.SGD","LU2750360641.GBP","LU2471134523.USD","LU1894683264.USD","BK4023","LU2237443465.HKD"],"gpt_icon":0},{"id":"2594032269","title":"How AI Could Cause Social Security to Run Out of Money Sooner Than Expected -- Barrons.com","url":"https://stock-news.laohu8.com/highlight/detail?id=2594032269","media":"Dow Jones","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2594032269?lang=en_us&edition=fundamental","pubTime":"2025-12-26 14:30","pubTimestamp":1766730600,"startTime":"0","endTime":"0","summary":"Artificial intelligence can perform many tasks. But if it winds up costing millions of Americans their jobs, it wouldn't just leave a trail of unemployment; it could also weaken Social Security.So far, AI hasn't led to widespread job losses or big productivity gains. But the technology has vast potential to both uplift and disrupt the workforce, with ripple effects for Social Security.One possible scenario is that more jobs are lost than created, hurting the program's long-term financial health. An estimated 2.5% of U.S. employment is at risk if AI expands across the economy and cuts employment in proportion to productivity gains, according to Goldman Sachs.A shrinking workforce would be the last thing Social Security needs.Researchers at the Penn Wharton Budget Model at the University of Pennsylvania, for instance, forecast a 4.2% shortfall in the program's revenues over the next 75 years, based on expected payroll taxes. 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