Willis Towers Watson (WTW) Revenue (2009 - 2026)
Willis Towers Watson's Revenue was $2.47 billion in Q2 2026, up 9.1% from $2.26 billion a year earlier and up 2.2% from the prior quarter.
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Analysis
Willis Towers Watson (WTW) Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Willis Towers Watson's Revenue was $10.1 billion through Jun 30, 2026, up 3.0% year-over-year; for FY2025, it was $9.71 billion, down 2.2% from FY2024.
- Revenue shows a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- In earlier years, Revenue was $9.93 billion in FY2024 (+4.7%), $9.48 billion in FY2023 (+7.0%), $8.87 billion in FY2022 (-1.5%) and $9 billion in FY2021 (+4.4%).
- Quarterly Revenue has moved between $1.95 billion (Q3 2022) and $3.04 billion (Q4 2024) over five years.
- Compared with a year earlier, Revenue was higher in four of the last eight quarters, with growth averaging 2.4%.
- The best year-over-year quarter for Revenue over five years was Q3 2023 (growth of 10.9%); the worst was Q1 2025 (a decline of 5.0%).
- Per Business Quant data, WTW's Revenue in the three quarters before Q2 2026 was $2.41 billion (Q1 2026), $2.94 billion (Q4 2025) and $2.29 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 101.81 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 15.82 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 23.61 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 7.40 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 12.15 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | 14.50 Bn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 19.15 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 4.25 Bn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 4.00 Bn |
| 10 | Willis Towers Watson | 26.80 Bn | 18.29 Bn | - | 2.47 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.47 Bn |
| Mar 31, 2026 | 2.41 Bn |
| Dec 31, 2025 | 2.94 Bn |
| Sep 30, 2025 | 2.29 Bn |
| Jun 30, 2025 | 2.26 Bn |
| Mar 31, 2025 | 2.22 Bn |
| Dec 31, 2024 | 3.04 Bn |
| Sep 30, 2024 | 2.29 Bn |
| Jun 30, 2024 | 2.27 Bn |
| Mar 31, 2024 | 2.34 Bn |
| Dec 31, 2023 | 2.91 Bn |
| Sep 30, 2023 | 2.17 Bn |
| Jun 30, 2023 | 2.16 Bn |
| Mar 31, 2023 | 2.24 Bn |
| Dec 31, 2022 | 2.72 Bn |
| Sep 30, 2022 | 1.95 Bn |
| Jun 30, 2022 | 2.03 Bn |
| Mar 31, 2022 | 2.16 Bn |
| Dec 31, 2021 | 2.71 Bn |
| Sep 30, 2021 | 1.97 Bn |
API Access
Willis Towers Watson Revenue 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=revenue&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();