White Mountains Insurance (WTM) Revenue (2009 - 2026)
White Mountains Insurance's Revenue came in at $844.6 million for Q2 2026, up 22.5% from $689.2 million a year earlier and up 63.1% from the prior quarter.
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Analysis
White Mountains Insurance (WTM) Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, White Mountains Insurance reported Revenue of $3.83 billion, up 55.4% year-over-year; for FY2025, it came in at $3.74 billion, up 66.8% from FY2024.
- Revenue has increased in each of the last four years, with a five-year compound annual growth rate of 33.1% (FY2020 to FY2025).
- Going back by year, Revenue was $2.24 billion in FY2024 (+3.4%), $2.17 billion in FY2023 (+87.1%), $1.16 billion in FY2022 (+74.3%) and $664.2 million in FY2021 (-25.8%).
- The five-year range for quarterly Revenue is $208.8 million (Q4 2021) to $1.6 billion (Q4 2025).
- Year-over-year, Revenue increased in five of the last eight quarters, with growth averaging 54.6%.
- The fastest year-over-year change in Revenue over five years came in Q4 2025 (growth of 348.0%), and the weakest in Q4 2021 (a decline of 59.9%).
- Business Quant data shows WTM's Revenue at $517.8 million (Q1 2026), $1.6 billion (Q4 2025) and $864.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 101.81 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 15.82 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 23.61 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 7.40 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 12.15 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | 14.50 Bn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 19.15 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 4.00 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 18.60 Bn |
| 10 | White Mountains Insurance | 4.81 Bn | -5.87 Bn | 764.50 Mn | 844.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 844.60 Mn |
| Mar 31, 2026 | 517.80 Mn |
| Dec 31, 2025 | 1.60 Bn |
| Sep 30, 2025 | 864.20 Mn |
| Jun 30, 2025 | 689.20 Mn |
| Mar 31, 2025 | 577.80 Mn |
| Dec 31, 2024 | 358.00 Mn |
| Sep 30, 2024 | 839.10 Mn |
| Jun 30, 2024 | 395.40 Mn |
| Mar 31, 2024 | 647.30 Mn |
| Dec 31, 2023 | 736.80 Mn |
| Sep 30, 2023 | 519.60 Mn |
| Jun 30, 2023 | 378.40 Mn |
| Mar 31, 2023 | 531.90 Mn |
| Dec 31, 2022 | 374.10 Mn |
| Sep 30, 2022 | 383.20 Mn |
| Jun 30, 2022 | 227.80 Mn |
| Mar 31, 2022 | 260.40 Mn |
| Dec 31, 2021 | 208.80 Mn |
| Sep 30, 2021 | 220.10 Mn |
API Access
White Mountains Insurance Revenue 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=revenue&ticker=WTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=WTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();