White Mountains Insurance (WTM) Long-Term Debt Repayments (2009 - 2026)
White Mountains Insurance (WTM) recorded Long-Term Debt Repayments of $153.9 million in Q2 2026, compared with $1.3 million a year earlier.
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Analysis
White Mountains Insurance (WTM) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, White Mountains Insurance's Long-Term Debt Repayments came in at $177.8 million as of Jun 30, 2026; for FY2025, it came in at $17.5 million, down 54.1% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 55.9% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $38.1 million in FY2024 (+48.2%), $25.7 million in FY2023 (-54.7%), $56.7 million in FY2022 (-52.8%) and $120.1 million in FY2021.
- The Q2 2026 figure is the highest quarterly Long-Term Debt Repayments since Q3 2017.
- On a year-over-year basis, Long-Term Debt Repayments rose in four of the last seven quarters, with growth averaging 221.9%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 770.0% in Q1 2026, against a decline of 98.6% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.7 million (Q1 2026), $11.9 million (Q4 2025) and $3.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.09 Bn | 84.67 Bn | 9.13 Bn | 1.50 Bn |
| 2 | Progressive | 127.57 Bn | 103.40 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 89.82 Bn | 81.98 Bn | - | 637.00 Mn |
| 4 | Travelers Companies | 80.92 Bn | 57.17 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 75.09 Bn | -19.79 Bn | - | - |
| 6 | Arthur J. Gallagher | 64.98 Bn | 59.38 Bn | - | - |
| 7 | Metlife | 64.10 Bn | -42.68 Bn | 7.82 Bn | 230.00 Mn |
| 8 | Allstate | 63.22 Bn | 24.49 Bn | 8.73 Bn | - |
| 9 | Aon | 61.77 Bn | 54.99 Bn | - | - |
| 10 | White Mountains Insurance | 5.28 Bn | -6.13 Bn | 764.50 Mn | 153.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.90 Mn |
| Mar 31, 2026 | 8.70 Mn |
| Dec 31, 2025 | 11.90 Mn |
| Sep 30, 2025 | 3.30 Mn |
| Jun 30, 2025 | 1.30 Mn |
| Mar 31, 2025 | 1.00 Mn |
| Dec 31, 2024 | 1.40 Mn |
| Sep 30, 2024 | 2.60 Mn |
| Jun 30, 2024 | 1.50 Mn |
| Mar 31, 2024 | 32.60 Mn |
| Dec 31, 2023 | 1.40 Mn |
| Sep 30, 2023 | 1.20 Mn |
| Jun 30, 2023 | 3.10 Mn |
| Mar 31, 2023 | 20.00 Mn |
| Dec 31, 2022 | 46.20 Mn |
| Sep 30, 2022 | 8.10 Mn |
| Jun 30, 2022 | 1.10 Mn |
| Mar 31, 2022 | 1.30 Mn |
| Dec 31, 2021 | 25.30 Mn |
| Sep 30, 2021 | 600,000.00 |
API Access
White Mountains Insurance Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=WTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=WTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();