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Willis Towers Watson PLC (WTY.MU)

Munich - Munich Delayed Price. Currency in EUR
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236.000.00 (0.00%)
At close: 08:04AM CEST
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Previous Close236.00
Open236.00
Bid234.00 x N/A
Ask236.00 x N/A
Day's Range236.00 - 236.00
52 Week Range181.00 - 256.00
Volume11
Avg. Volume0
Market CapN/A
Beta (5Y Monthly)N/A
PE Ratio (TTM)N/A
EPS (TTM)N/A
Earnings DateN/A
Forward Dividend & YieldN/A (N/A)
Ex-Dividend DateN/A
1y Target EstN/A
  • Insider Monkey

    Willis Towers Watson Public Limited Company (NASDAQ:WTW) Q1 2024 Earnings Call Transcript

    Willis Towers Watson Public Limited Company (NASDAQ:WTW) Q1 2024 Earnings Call Transcript April 25, 2024 Willis Towers Watson Public Limited Company beats earnings expectations. Reported EPS is $3.29, expectations were $3.21. WTW isn’t one of the 30 most popular stocks among hedge funds at the end of the third quarter (see the details here). Operator: […]

  • GlobeNewswire

    WTW appoints Alex deLaricheliere to strategic leadership role within Financial Institutions and Professional Services (FIPS)

    NEW YORK, April 29, 2024 (GLOBE NEWSWIRE) -- WTW (NASDAQ: WTW), a leading global advisory, broking, and solutions company, today announced the appointment of Alex deLaricheliere as Strategy and Execution Leader and Banking Subvertical Leader within the Financial Institutions and Professional Services (FIPS) industry division of Corporate Risk and Broking, North America (CRB NA). Financial Institutions and Professional Services firms have no shortage of opportunities to help their clients through

  • GlobeNewswire

    WTW and Riskonnect join forces to launch a new Risk Diagnostic Tool

    LONDON, April 29, 2024 (GLOBE NEWSWIRE) -- WTW (NASDAQ: WTW), a leading global advisory, broking, and solutions company, today announced a partnership with Riskonnect to pilot an innovative analytical delivery tool which connects claims and exposure data through its new WTW Risk IQ API (application programming interface). The collaboration between Riskonnect and WTW offers clients of both organizations the opportunity to better evaluate their claims data to identify, assess and quantify ineffici