White Mountains Insurance (WTM) Total Liabilities (2009 - 2026)
White Mountains Insurance (WTM) reported Total Liabilities of $7.65 billion for Q2 2026, up 17.9% from $6.48 billion a year earlier and up 7.3% from the prior quarter.
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Analysis
White Mountains Insurance (WTM) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, White Mountains Insurance posted Total Liabilities of $6.18 billion, up 29.0% from FY2024.
- Total Liabilities has increased for eight consecutive years, with a five-year compound annual growth rate of 46.2% (FY2020 to FY2025).
- By year, Total Liabilities came in at $4.79 billion in FY2024 (+25.4%), $3.82 billion in FY2023 (+10.7%), $3.45 billion in FY2022 (+4.8%) and $3.3 billion in FY2021 (+256.2%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities since Q3 2014.
- Year over year, Total Liabilities has now increased in each of the last 32 quarters, with growth averaging 25.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Liabilities ran from 2.0% in Q2 2023 to 256.2% in Q4 2021.
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.12 billion (Q1 2026), $6.18 billion (Q4 2025) and $6.76 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 512.89 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 200.48 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 90.59 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 44.25 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 110.46 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | 751.17 Bn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 731.63 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 58.06 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 91.06 Bn |
| 10 | White Mountains Insurance | 4.81 Bn | -5.87 Bn | 764.50 Mn | 7.65 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.65 Bn |
| Mar 31, 2026 | 7.12 Bn |
| Dec 31, 2025 | 6.18 Bn |
| Sep 30, 2025 | 6.76 Bn |
| Jun 30, 2025 | 6.48 Bn |
| Mar 31, 2025 | 5.87 Bn |
| Dec 31, 2024 | 4.79 Bn |
| Sep 30, 2024 | 5.08 Bn |
| Jun 30, 2024 | 5.29 Bn |
| Mar 31, 2024 | 4.70 Bn |
| Dec 31, 2023 | 3.82 Bn |
| Sep 30, 2023 | 3.98 Bn |
| Jun 30, 2023 | 4.25 Bn |
| Mar 31, 2023 | 3.87 Bn |
| Dec 31, 2022 | 3.45 Bn |
| Sep 30, 2022 | 3.68 Bn |
| Jun 30, 2022 | 4.17 Bn |
| Mar 31, 2022 | 3.69 Bn |
| Dec 31, 2021 | 3.30 Bn |
| Sep 30, 2021 | 3.46 Bn |
API Access
White Mountains Insurance Total Liabilities 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=total-liabilities&ticker=WTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=WTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();