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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | -30.21 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | -3.07 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | -10.36 Bn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 1.90 Bn |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | -3.16 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | -10.30 Bn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | - |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 915.00 Mn |
| 10 | Willis Towers Watson | 26.80 Bn | 18.29 Bn | - | 364.00 Mn |
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 |
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_KEY
import 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();