White Mountains Insurance (WTM) Other Non-Current Liabilities (2009 - 2026)
White Mountains Insurance (WTM) posted Other Non-Current Liabilities of $370 million for Q2 2026, up 67.0% from $221.6 million a year earlier and up 9.4% from the prior quarter.
White Mountains Insurance (WTM) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, White Mountains Insurance's Other Non-Current Liabilities came in at $328.3 million, up 46.1% from FY2024.
- Annual Other Non-Current Liabilities has increased for seven consecutive years, with a five-year compound annual growth rate of 29.2% (FY2020 to FY2025).
- In prior years, White Mountains Insurance's Other Non-Current Liabilities was $224.7 million in FY2024 (+34.7%), $166.8 million in FY2023 (+36.4%), $122.3 million in FY2022 (+30.4%) and $93.8 million in FY2021 (+2.9%).
- The Q2 2026 figure stands as the highest quarterly Other Non-Current Liabilities since Q4 2017.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last eight quarters, with growth averaging 42.4% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q1 2026, with growth of 72.0%; the weakest was Q3 2023, with a decline of 43.0%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $338.3 million (Q1 2026), $328.3 million (Q4 2025) and $249 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - |
| 10 | White Mountains Insurance | 4.79 Bn | -5.89 Bn | 764.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 370.00 Mn |
| Mar 31, 2026 | 338.30 Mn |
| Dec 31, 2025 | 328.30 Mn |
| Sep 30, 2025 | 249.00 Mn |
| Jun 30, 2025 | 221.60 Mn |
| Mar 31, 2025 | 196.70 Mn |
| Dec 31, 2024 | 224.70 Mn |
| Sep 30, 2024 | 188.90 Mn |
| Jun 30, 2024 | 157.20 Mn |
| Mar 31, 2024 | 190.10 Mn |
| Dec 31, 2023 | 166.80 Mn |
| Sep 30, 2023 | 132.00 Mn |
| Jun 30, 2023 | 225.30 Mn |
| Mar 31, 2023 | 253.10 Mn |
| Dec 31, 2022 | 122.30 Mn |
| Sep 30, 2022 | 231.40 Mn |
| Jun 30, 2022 | 245.80 Mn |
| Mar 31, 2022 | 285.00 Mn |
| Dec 31, 2021 | 93.80 Mn |
| Sep 30, 2021 | 294.10 Mn |
White Mountains Insurance Other Non-Current 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=other-non-current-liabilities&ticker=WTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=WTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();