Willis Towers Watson (WTW) Operating Income (2009 - 2026)
Willis Towers Watson (WTW) reported Operating Income of $364 million for 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) Operating Income (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Willis Towers Watson's Operating Income came in at $2.25 billion, up 140.2% year-over-year; for FY2025, it was $2.23 billion, up 256.3% from FY2024.
- Operating Income has a five-year compound annual growth rate of 21.1% (FY2020 to FY2025).
- By year, Operating Income 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 ranks as the lowest quarterly Operating Income since Q3 2024.
- Year over year, Operating Income gained in five of the last six quarters, with growth averaging 26.5%.
- The high point for year-over-year Operating Income in five years was Q2 2025 (growth of 73.6%); the low point was Q3 2022 (a decline of 86.4%).
- Per Business Quant data, the three quarters before Q2 2026 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) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.67 Bn | 84.25 Bn | 9.13 Bn | -3.07 Bn |
| 2 | Progressive | 133.00 Bn | 108.83 Bn | 9.04 Bn | -10.36 Bn |
| 3 | Marsh & Mclennan Companies | 94.06 Bn | 86.22 Bn | - | 1.22 Bn |
| 4 | Travelers Companies | 83.93 Bn | 60.18 Bn | 6.23 Bn | -3.16 Bn |
| 5 | Manulife Financial | 75.37 Bn | -19.52 Bn | - | - |
| 6 | Arthur J. Gallagher | 68.91 Bn | 63.31 Bn | - | - |
| 7 | Allstate | 64.79 Bn | 26.06 Bn | 8.73 Bn | -5.72 Bn |
| 8 | Aon | 64.57 Bn | 57.79 Bn | - | 915.00 Mn |
| 9 | Metlife | 63.57 Bn | -43.21 Bn | 7.82 Bn | -10.30 Bn |
| 10 | Willis Towers Watson | 30.53 Bn | 21.94 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 Operating Income 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=operating-income&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();