Willis Towers Watson (WTW) Free Cash Flow (2009 - 2026)
Willis Towers Watson's Free Cash Flow came in at $425 million for Q2 2026, up 40.3% from $303 million a year earlier.
Willis Towers Watson (WTW) Free Cash Flow (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Willis Towers Watson reported Free Cash Flow of $1.69 billion, up 43.3% year-over-year; for FY2025, it was $1.55 billion, up 22.0% from FY2024.
- Free Cash Flow has increased in each of the last three years, though with a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- Going back by year, Free Cash Flow was $1.27 billion in FY2024 (+14.9%), $1.1 billion in FY2023 (+35.8%), $812 million in FY2022 (-60.6%) and $2.06 billion in FY2021 (+16.2%).
- The five-year range for quarterly Free Cash Flow is -$86 million (Q1 2025) to $1.51 billion (Q3 2021).
- Year-over-year, Free Cash Flow increased in five of the last six quarters, with growth averaging 19.7%.
- The fastest year-over-year change in Free Cash Flow over five years came in Q1 2023 (growth of 538.1%), and the weakest in Q3 2022 (a decline of 88.2%).
- Business Quant data shows WTW's Free Cash Flow at -$65 million (Q1 2026), $708 million (Q4 2025) and $621 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 5.57 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 3.73 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 3.47 Bn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 1.45 Bn |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | 1.92 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | 3.00 Bn |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | 2.23 Bn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | -41.00 Mn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 483.00 Mn |
| 10 | Willis Towers Watson | 26.80 Bn | 18.29 Bn | - | 425.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 425.00 Mn |
| Mar 31, 2026 | -65.00 Mn |
| Dec 31, 2025 | 708.00 Mn |
| Sep 30, 2025 | 621.00 Mn |
| Jun 30, 2025 | 303.00 Mn |
| Mar 31, 2025 | -86.00 Mn |
| Dec 31, 2024 | 543.00 Mn |
| Sep 30, 2024 | 419.00 Mn |
| Jun 30, 2024 | 341.00 Mn |
| Mar 31, 2024 | -36.00 Mn |
| Dec 31, 2023 | 522.00 Mn |
| Sep 30, 2023 | 393.00 Mn |
| Jun 30, 2023 | 296.00 Mn |
| Mar 31, 2023 | 134.00 Mn |
| Dec 31, 2022 | 375.00 Mn |
| Sep 30, 2022 | 179.00 Mn |
| Jun 30, 2022 | 237.00 Mn |
| Mar 31, 2022 | 21.00 Mn |
| Dec 31, 2021 | 184.00 Mn |
| Sep 30, 2021 | 1.51 Bn |
Willis Towers Watson Free Cash Flow 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=free-cash-flow&ticker=WTW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();