Willis Towers Watson (WTW) Net Income (2009 - 2026)
Willis Towers Watson (WTW) posted Net Income of $231 million for Q2 2026, down 30.4% from $332 million a year earlier and down 23.8% from the prior quarter.
Willis Towers Watson (WTW) Net Income (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Income at Willis Towers Watson was $1.58 billion, up 972.1% year-over-year; for FY2025, it came in at $1.61 billion.
- Annual Net Income shows a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- In prior years, Willis Towers Watson's Net Income was -$88 million in FY2024, $1.06 billion in FY2023 (+3.9%), $1.02 billion in FY2022 (-75.8%) and $4.24 billion in FY2021 (+315.3%).
- The Q2 2026 figure stands as the lowest quarterly Net Income since Q3 2024.
- On a year-over-year basis, Net Income increased in four of the last six quarters, with growth averaging 35.4%.
- The strongest year-over-year quarter for Net Income in the past five years was Q3 2021, with growth of 643.4%; the weakest was Q1 2022, with a decline of 83.0%.
- According to Business Quant data, Net Income for the three prior quarters was $303 million (Q1 2026), $736 million (Q4 2025) and $306 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 25.77 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 2.88 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 3.31 Bn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 1.29 Bn |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | 2.21 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | 1.68 Bn |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | 779.00 Mn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 324.00 Mn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 565.00 Mn |
| 10 | Willis Towers Watson | 26.80 Bn | 18.29 Bn | - | 231.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 231.00 Mn |
| Mar 31, 2026 | 303.00 Mn |
| Dec 31, 2025 | 736.00 Mn |
| Sep 30, 2025 | 306.00 Mn |
| Jun 30, 2025 | 332.00 Mn |
| Mar 31, 2025 | 239.00 Mn |
| Dec 31, 2024 | 1.25 Bn |
| Sep 30, 2024 | -1.67 Bn |
| Jun 30, 2024 | 142.00 Mn |
| Mar 31, 2024 | 194.00 Mn |
| Dec 31, 2023 | 623.00 Mn |
| Sep 30, 2023 | 139.00 Mn |
| Jun 30, 2023 | 96.00 Mn |
| Mar 31, 2023 | 206.00 Mn |
| Dec 31, 2022 | 593.00 Mn |
| Sep 30, 2022 | 192.00 Mn |
| Jun 30, 2022 | 114.00 Mn |
| Mar 31, 2022 | 125.00 Mn |
| Dec 31, 2021 | 2.41 Bn |
| Sep 30, 2021 | 907.00 Mn |
Willis Towers Watson Net 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=net-income&ticker=WTW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-income&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();