Willis Towers Watson (WTW) Income from Continuing Operations (2009 - 2026)
Willis Towers Watson (WTW) reported Income from Continuing Operations of $235 million for Q2 2026, down 29.6% from $334 million a year earlier and down 23.2% from the prior quarter.
Willis Towers Watson (WTW) Income from Continuing Operations (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Willis Towers Watson's Income from Continuing Operations came in at $1.6 billion, up 991.2% year-over-year; for FY2025, it came in at $1.64 billion.
- Income from Continuing Operations has a five-year compound annual growth rate of 16.5% (FY2020 to FY2025).
- By year, Income from Continuing Operations came in at -$88 million in FY2024, $1.06 billion in FY2023 (unchanged), $1.06 billion in FY2022 (-50.6%) and $2.16 billion in FY2021 (+182.9%).
- The Q2 2026 figure ranks as the lowest quarterly Income from Continuing Operations since Q3 2024.
- Year over year, Income from Continuing Operations gained in four of the last six quarters, with growth averaging 36.5%.
- The high point for year-over-year Income from Continuing Operations in five years was Q3 2021 (growth of 672.3%); the low point was Q3 2022 (a decline of 80.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $306 million (Q1 2026), $750 million (Q4 2025) and $313 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 139.23 Bn | 85.81 Bn | 9.13 Bn | 2.88 Bn |
| 2 | Progressive | 131.12 Bn | 106.95 Bn | 9.04 Bn | 3.31 Bn |
| 3 | Marsh & Mclennan Companies | 92.26 Bn | 84.42 Bn | - | 812.00 Mn |
| 4 | Travelers Companies | 85.07 Bn | 61.32 Bn | 6.23 Bn | 2.21 Bn |
| 5 | Manulife Financial | 77.33 Bn | -17.55 Bn | - | 2.00 Bn |
| 6 | Arthur J. Gallagher | 67.94 Bn | 62.34 Bn | - | 324.00 Mn |
| 7 | Metlife | 65.73 Bn | -41.05 Bn | 7.82 Bn | 779.00 Mn |
| 8 | Allstate | 65.18 Bn | 26.45 Bn | 8.73 Bn | 3.27 Bn |
| 9 | Aon | 64.14 Bn | 57.36 Bn | - | 565.00 Mn |
| 10 | Willis Towers Watson | 30.51 Bn | 21.92 Bn | - | 235.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 235.00 Mn |
| Mar 31, 2026 | 306.00 Mn |
| Dec 31, 2025 | 750.00 Mn |
| Sep 30, 2025 | 313.00 Mn |
| Jun 30, 2025 | 334.00 Mn |
| Mar 31, 2025 | 238.00 Mn |
| Dec 31, 2024 | 1.25 Bn |
| Sep 30, 2024 | -1.68 Bn |
| Jun 30, 2024 | 141.00 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 | 606.00 Mn |
| Sep 30, 2022 | 184.00 Mn |
| Jun 30, 2022 | 160.00 Mn |
| Mar 31, 2022 | 114.00 Mn |
| Dec 31, 2021 | 574.00 Mn |
| Sep 30, 2021 | 919.00 Mn |
Willis Towers Watson Income from Continuing Operations 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=income-from-continuing-operations&ticker=WTW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();