Willis Towers Watson (WTW) Change in Acquisitions & Divestments (2021 - 2026)
Willis Towers Watson's Change in Acquisitions & Divestments was -$16 million in Q2 2026, compared with -$12 million a year earlier.
Willis Towers Watson (WTW) Change in Acquisitions & Divestments (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Willis Towers Watson's Change in Acquisitions & Divestments was -$43 million through Jun 30, 2026; for FY2024, it was $12 million, up 200.0% from FY2023.
- Change in Acquisitions & Divestments shows a three-year compound annual growth rate of -60.9% (FY2021 to FY2024).
- In earlier years, Change in Acquisitions & Divestments was $4 million in FY2023, -$200 million in FY2022 and $200 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Change in Acquisitions & Divestments since Q1 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chubb | 137.67 Bn | 84.25 Bn | 9.13 Bn |
| 2 | Progressive | 133.00 Bn | 108.83 Bn | 9.04 Bn |
| 3 | Marsh & Mclennan Companies | 94.06 Bn | 86.22 Bn | - |
| 4 | Travelers Companies | 83.93 Bn | 60.18 Bn | 6.23 Bn |
| 5 | Manulife Financial | 75.37 Bn | -19.52 Bn | - |
| 6 | Arthur J. Gallagher | 68.91 Bn | 63.31 Bn | - |
| 7 | Allstate | 64.79 Bn | 26.06 Bn | 8.73 Bn |
| 8 | Aon | 64.57 Bn | 57.79 Bn | - |
| 9 | Metlife | 63.57 Bn | -43.21 Bn | 7.82 Bn |
| 10 | Willis Towers Watson | 30.53 Bn | 21.94 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -16.00 Mn |
| Mar 31, 2026 | 16.00 Mn |
| Jun 30, 2025 | -12.00 Mn |
| Mar 31, 2025 | -31.00 Mn |
| Mar 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | 2.00 Mn |
| Sep 30, 2023 | -3.00 Mn |
| Jun 30, 2023 | -7.00 Mn |
| Mar 31, 2023 | 4.00 Mn |
| Mar 31, 2022 | 200.00 Mn |
| Dec 31, 2021 | -200.00 Mn |
Willis Towers Watson Change in Acquisitions & Divestments 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=change-in-acquisitions-and-divestments&ticker=WTW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-acquisitions-and-divestments", "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=change-in-acquisitions-and-divestments&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();