Willis Towers Watson (WTW) Acquisitions (2009 - 2026)
Willis Towers Watson's Acquisitions came in at $247 million for Q2 2026, compared with $13 million a year earlier and down 68.8% from the prior quarter.
Willis Towers Watson (WTW) Acquisitions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Willis Towers Watson reported Acquisitions of $1.04 billion, up 940.0% year-over-year; for FY2025, it came in at $15 million, down 85.6% from FY2024.
- Acquisitions carries a five-year compound annual growth rate of -26.3% (FY2020 to FY2025).
- Going back by year, Acquisitions was $104 million in FY2024, $6 million in FY2023 (-92.6%), $81 million in FY2022 (+72.3%) and $47 million in FY2021 (-31.9%).
- The five-year range for quarterly Acquisitions is $1 million (Q4 2022) to $792 million (Q1 2026).
- Year-over-year, Acquisitions increased in two of the last four quarters, with growth averaging 135.3%.
- The fastest year-over-year change in Acquisitions over five years came in Q3 2024 (growth of 400.0%), and the weakest in Q4 2025 (a decline of 98.7%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 14.00 Mn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | - |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 88.00 Mn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 10.00 Mn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | - |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | - |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 26.00 Mn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | - |
| 10 | Willis Towers Watson | 26.80 Bn | 18.29 Bn | - | 247.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 247.00 Mn |
| Mar 31, 2026 | 792.00 Mn |
| Dec 31, 2025 | 1.00 Mn |
| Jun 30, 2025 | 13.00 Mn |
| Mar 31, 2025 | 1.00 Mn |
| Dec 31, 2024 | 76.00 Mn |
| Sep 30, 2024 | 10.00 Mn |
| Jun 30, 2024 | 3.00 Mn |
| Mar 31, 2024 | 15.00 Mn |
| Sep 30, 2023 | 2.00 Mn |
| Mar 31, 2023 | 4.00 Mn |
| Dec 31, 2022 | 1.00 Mn |
| Sep 30, 2022 | 4.00 Mn |
| Jun 30, 2022 | 8.00 Mn |
| Mar 31, 2022 | 68.00 Mn |
| Dec 31, 2021 | 47.00 Mn |
| Dec 31, 2020 | 3.00 Mn |
| Mar 31, 2020 | 66.00 Mn |
| Dec 31, 2019 | 5.00 Mn |
| Sep 30, 2019 | 1.32 Bn |
Willis Towers Watson Acquisitions 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=acquisitions&ticker=WTW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();