Willis Towers Watson (WTW) EBT (2009 - 2026)
Willis Towers Watson (WTW) posted EBT of $292 million for Q2 2026, down 6.7% from $313 million a year earlier and down 22.3% from the prior quarter.
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Analysis
Willis Towers Watson (WTW) EBT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBT at Willis Towers Watson was $2.01 billion, up 548.9% year-over-year; for FY2025, it was $1.95 billion.
- Annual EBT shows a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- In prior years, Willis Towers Watson's EBT was $102 million in FY2024 (-92.0%), $1.28 billion in FY2023 (+1.4%), $1.26 billion in FY2022 (-53.3%) and $2.69 billion in FY2021 (+166.3%).
- The Q2 2026 figure stands as the lowest quarterly EBT since Q3 2024.
- On a year-over-year basis, EBT increased in four of the last six quarters, with growth averaging 36.0%.
- The strongest year-over-year quarter for EBT in the past five years was Q3 2021, with growth of 636.6%; the weakest was Q3 2022, with a decline of 84.4%.
- According to Business Quant data, EBT for the three prior quarters was $376 million (Q1 2026), $947 million (Q4 2025) and $390 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 32.06 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 3.62 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 4.21 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 1.70 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 2.77 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | 2.00 Bn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 1.04 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 724.00 Mn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 414.00 Mn |
| 10 | Willis Towers Watson | 26.80 Bn | 18.29 Bn | - | 292.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 292.00 Mn |
| Mar 31, 2026 | 376.00 Mn |
| Dec 31, 2025 | 947.00 Mn |
| Sep 30, 2025 | 390.00 Mn |
| Jun 30, 2025 | 313.00 Mn |
| Mar 31, 2025 | 303.00 Mn |
| Dec 31, 2024 | 1.69 Bn |
| Sep 30, 2024 | -2.00 Bn |
| Jun 30, 2024 | 167.00 Mn |
| Mar 31, 2024 | 242.00 Mn |
| Dec 31, 2023 | 736.00 Mn |
| Sep 30, 2023 | 164.00 Mn |
| Jun 30, 2023 | 120.00 Mn |
| Mar 31, 2023 | 256.00 Mn |
| Dec 31, 2022 | 737.00 Mn |
| Sep 30, 2022 | 185.00 Mn |
| Jun 30, 2022 | 179.00 Mn |
| Mar 31, 2022 | 157.00 Mn |
| Dec 31, 2021 | 724.00 Mn |
| Sep 30, 2021 | 1.19 Bn |
API Access
Willis Towers Watson EBT 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=ebt&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();