Willis Towers Watson (WTW) EBIT (2009 - 2026)
Willis Towers Watson (WTW) recorded EBIT of $364 million in Q2 2026, down 1.1% from $368 million a year earlier and down 18.8% from the prior quarter.
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Analysis
Willis Towers Watson (WTW) EBIT (2009 - 2026) Analysis & Trends
On a TTM basis, Willis Towers Watson's EBIT came in at $2.25 billion as of Jun 30, 2026, up 140.2% year-over-year; for FY2025, it came in at $2.23 billion, up 256.3% from FY2024.
- Annual EBIT has a five-year compound annual growth rate of 21.1% (FY2020 to FY2025).
- Across earlier years, EBIT came in at $627 million in FY2024 (-54.1%), $1.37 billion in FY2023 (+15.9%), $1.18 billion in FY2022 (-46.5%) and $2.2 billion in FY2021 (+156.3%).
- The Q2 2026 figure is the lowest quarterly EBIT since Q3 2024.
- On a year-over-year basis, EBIT rose in five of the last six quarters, with growth averaging 26.5%.
- Peak year-over-year performance for EBIT in the last five years was growth of 73.6% in Q2 2025, against a decline of 86.4% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $448 million (Q1 2026), $1.02 billion (Q4 2025) and $418 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | -30.21 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | -3.07 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | -10.36 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 1.90 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | -3.16 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | 1.72 Bn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | -10.30 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 915.00 Mn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 582.00 Mn |
| 10 | Willis Towers Watson | 26.80 Bn | 18.29 Bn | - | 364.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 364.00 Mn |
| Mar 31, 2026 | 448.00 Mn |
| Dec 31, 2025 | 1.02 Bn |
| Sep 30, 2025 | 418.00 Mn |
| Jun 30, 2025 | 368.00 Mn |
| Mar 31, 2025 | 432.00 Mn |
| Dec 31, 2024 | 901.00 Mn |
| Sep 30, 2024 | -766.00 Mn |
| Jun 30, 2024 | 212.00 Mn |
| Mar 31, 2024 | 280.00 Mn |
| Dec 31, 2023 | 779.00 Mn |
| Sep 30, 2023 | 159.00 Mn |
| Jun 30, 2023 | 142.00 Mn |
| Mar 31, 2023 | 285.00 Mn |
| Dec 31, 2022 | 708.00 Mn |
| Sep 30, 2022 | 154.00 Mn |
| Jun 30, 2022 | 137.00 Mn |
| Mar 31, 2022 | 179.00 Mn |
| Dec 31, 2021 | 690.00 Mn |
| Sep 30, 2021 | 1.13 Bn |
API Access
Willis Towers Watson EBIT 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=ebit&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();