White Mountains Insurance (WTM) Consolidated Net Income (2009 - 2026)
White Mountains Insurance's Consolidated Net Income came in at $231.2 million for Q2 2026, up 41.3% from $163.6 million a year earlier.
White Mountains Insurance (WTM) Consolidated Net Income (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, White Mountains Insurance reported Consolidated Net Income of $1.18 billion, up 257.8% year-over-year; for FY2025, it came in at $1.2 billion, up 323.0% from FY2024.
- Consolidated Net Income carries a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- Going back by year, Consolidated Net Income was $284.1 million in FY2024 (-51.1%), $580.9 million in FY2023 (-18.5%), $712.4 million in FY2022 and -$321.9 million in FY2021.
- The five-year range for quarterly Consolidated Net Income is -$383.9 million (Q3 2021) to $869.5 million (Q3 2022).
- The fastest year-over-year change in Consolidated Net Income over five years came in Q4 2023 (growth of 489.8%), and the weakest in Q3 2023 (a decline of 98.4%).
- Business Quant data shows WTM's Consolidated Net Income at -$26.3 million (Q1 2026), $813.7 million (Q4 2025) and $161.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (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 | - | 2.33 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 | White Mountains Insurance | 4.82 Bn | -5.86 Bn | 764.50 Mn | 231.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 231.20 Mn |
| Mar 31, 2026 | -26.30 Mn |
| Dec 31, 2025 | 813.70 Mn |
| Sep 30, 2025 | 161.70 Mn |
| Jun 30, 2025 | 163.60 Mn |
| Mar 31, 2025 | 62.80 Mn |
| Dec 31, 2024 | -124.40 Mn |
| Sep 30, 2024 | 227.90 Mn |
| Jun 30, 2024 | -41.20 Mn |
| Mar 31, 2024 | 221.80 Mn |
| Dec 31, 2023 | 362.70 Mn |
| Sep 30, 2023 | 13.80 Mn |
| Jun 30, 2023 | 17.20 Mn |
| Mar 31, 2023 | 187.20 Mn |
| Dec 31, 2022 | 61.50 Mn |
| Sep 30, 2022 | 869.50 Mn |
| Jun 30, 2022 | -210.20 Mn |
| Mar 31, 2022 | -8.40 Mn |
| Dec 31, 2021 | 40.00 Mn |
| Sep 30, 2021 | -383.90 Mn |
White Mountains Insurance 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=WTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "ticker": "WTM", "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=WTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();