Willis Towers Watson (WTW) Cash from Operations (2009 - 2026)
Willis Towers Watson (WTW) reported Cash from Operations of $484 million for Q2 2026, up 34.1% from $361 million a year earlier.
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Analysis
Willis Towers Watson (WTW) Cash from Operations (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Willis Towers Watson's Cash from Operations came in at $1.92 billion, up 36.7% year-over-year; for FY2025, it was $1.78 billion, up 17.4% from FY2024.
- Cash from Operations has increased for three consecutive years, with a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- By year, Cash from Operations came in at $1.51 billion in FY2024 (+12.4%), $1.35 billion in FY2023 (+65.6%), $812 million in FY2022 (-60.6%) and $2.06 billion in FY2021 (+16.2%).
- Five-year quarterly Cash from Operations spans a low of -$35 million in Q1 2025 and a high of $1.51 billion in Q3 2021.
- Year over year, Cash from Operations gained in five of the last six quarters, with growth averaging 21.6%.
- The high point for year-over-year Cash from Operations in five years was Q1 2023 (growth of 538.1%); the low point was Q3 2022 (a decline of 88.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$10 million (Q1 2026), $771 million (Q4 2025) and $678 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 11.22 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 | 3.61 Bn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 1.52 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 | - | 10.00 Mn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 556.00 Mn |
| 10 | Willis Towers Watson | 26.80 Bn | 18.29 Bn | - | 484.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 484.00 Mn |
| Mar 31, 2026 | -10.00 Mn |
| Dec 31, 2025 | 771.00 Mn |
| Sep 30, 2025 | 678.00 Mn |
| Jun 30, 2025 | 361.00 Mn |
| Mar 31, 2025 | -35.00 Mn |
| Dec 31, 2024 | 599.00 Mn |
| Sep 30, 2024 | 482.00 Mn |
| Jun 30, 2024 | 407.00 Mn |
| Mar 31, 2024 | 24.00 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 |
API Access
Willis Towers Watson Cash from Operations 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=cash-from-operations&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();