Willis Towers Watson (WTW) Consolidated Net Income (2009 - 2026)
Willis Towers Watson (WTW) recorded Consolidated Net Income of $231 million in Q2 2026, down 30.4% from $332 million a year earlier and down 23.8% from the prior quarter.
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Analysis
Willis Towers Watson (WTW) Consolidated Net Income (2009 - 2026) Analysis & Trends
On a TTM basis, Willis Towers Watson's Consolidated Net Income came in at $1.58 billion as of Jun 30, 2026, up 972.1% year-over-year; for FY2025, it was $1.61 billion.
- Annual Consolidated Net Income has a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- Across earlier years, Consolidated Net Income came in at -$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 is the lowest quarterly Consolidated Net Income since Q3 2024.
- On a year-over-year basis, Consolidated Net Income rose in four of the last six quarters, with growth averaging 35.4%.
- Peak year-over-year performance for Consolidated Net Income in the last five years was growth of 643.4% in Q3 2021, against a decline of 83.0% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $303 million (Q1 2026), $736 million (Q4 2025) and $306 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.67 Bn | 84.25 Bn | 9.13 Bn | 2.88 Bn |
| 2 | Progressive | 133.00 Bn | 108.83 Bn | 9.04 Bn | 3.31 Bn |
| 3 | Marsh & Mclennan Companies | 94.06 Bn | 86.22 Bn | - | 812.00 Mn |
| 4 | Travelers Companies | 83.93 Bn | 60.18 Bn | 6.23 Bn | 2.21 Bn |
| 5 | Manulife Financial | 75.37 Bn | -19.52 Bn | - | 2.00 Bn |
| 6 | Arthur J. Gallagher | 68.91 Bn | 63.31 Bn | - | 324.00 Mn |
| 7 | Allstate | 64.79 Bn | 26.06 Bn | 8.73 Bn | 3.27 Bn |
| 8 | Aon | 64.57 Bn | 57.79 Bn | - | 565.00 Mn |
| 9 | Metlife | 63.57 Bn | -43.21 Bn | 7.82 Bn | 779.00 Mn |
| 10 | Willis Towers Watson | 30.53 Bn | 21.94 Bn | - | 231.00 Mn |
Historic Data
Download Data
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 |
API Access
Willis Towers Watson Consolidated 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=consolidated-net-income&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-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=consolidated-net-income&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();