Willis Towers Watson (WTW) Enterprise Value (2009 - 2026)
Willis Towers Watson (WTW) reported Enterprise Value of $22.69 billion for Q2 2026, down 18.9% from $27.99 billion a year earlier and down 11.6% from the prior quarter.
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Analysis
Willis Towers Watson (WTW) Enterprise Value (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Willis Towers Watson's Enterprise Value came in at $15.76 billion, down 32.1% year-over-year; for FY2025, it came in at $27.99 billion, down 4.9% from FY2024.
- Enterprise Value has a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- By year, Enterprise Value came in at $29.41 billion in FY2024 (+25.9%), $23.37 billion in FY2023 (-6.1%), $24.88 billion in FY2022 (+6.7%) and $23.33 billion in FY2021 (-7.6%).
- The Q2 2026 figure ranks as the lowest quarterly Enterprise Value since Q3 2023.
- Year over year, Enterprise Value has now declined in each of the last three quarters, with growth averaging 7.9% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was Q3 2024 (growth of 39.0%); the low point was Q2 2022 (a decline of 27.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $25.68 billion (Q1 2026), $27.99 billion (Q4 2025) and $31.23 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chubb | 139.52 Bn | 86.10 Bn | 9.13 Bn |
| 2 | Progressive | 131.58 Bn | 107.41 Bn | 9.04 Bn |
| 3 | Marsh & Mclennan Companies | 92.74 Bn | 84.90 Bn | - |
| 4 | Travelers Companies | 85.43 Bn | 61.67 Bn | 6.23 Bn |
| 5 | Manulife Financial | 77.35 Bn | -17.53 Bn | - |
| 6 | Arthur J. Gallagher | 68.47 Bn | 62.88 Bn | - |
| 7 | Metlife | 65.58 Bn | -41.20 Bn | 7.82 Bn |
| 8 | Allstate | 65.36 Bn | 26.63 Bn | 8.73 Bn |
| 9 | Aon | 64.78 Bn | 58.00 Bn | - |
| 10 | Willis Towers Watson | 30.64 Bn | 22.05 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.69 Bn |
| Mar 31, 2026 | 25.68 Bn |
| Dec 31, 2025 | 27.99 Bn |
| Sep 30, 2025 | 31.23 Bn |
| Jun 30, 2025 | 27.99 Bn |
| Mar 31, 2025 | 32.08 Bn |
| Dec 31, 2024 | 29.41 Bn |
| Sep 30, 2024 | 28.37 Bn |
| Jun 30, 2024 | 25.45 Bn |
| Mar 31, 2024 | 26.30 Bn |
| Dec 31, 2023 | 23.37 Bn |
| Sep 30, 2023 | 20.41 Bn |
| Jun 30, 2023 | 23.16 Bn |
| Mar 31, 2023 | 23.67 Bn |
| Dec 31, 2022 | 24.88 Bn |
| Sep 30, 2022 | 20.33 Bn |
| Jun 30, 2022 | 19.87 Bn |
| Mar 31, 2022 | 24.21 Bn |
| Dec 31, 2021 | 23.33 Bn |
| Sep 30, 2021 | 26.84 Bn |
API Access
Willis Towers Watson Enterprise Value API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=enterprise-value&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "WTW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=enterprise-value&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();