White Mountains Insurance (WTM) Total Debt (2009 - 2026)
White Mountains Insurance's Total Debt came in at $203 million for Q4 2017.
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Analysis
White Mountains Insurance (WTM) Total Debt (2009 - 2026) Analysis & Trends
- Total Debt carries a five-year compound annual growth rate of -16.6% (FY2012 to FY2017).
- Going back by year, Total Debt was $101 million in FY2014.
- The Q4 2017 figure represents the highest quarterly Total Debt since Q4 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.09 Bn | 84.67 Bn | 9.13 Bn | 18.54 Bn |
| 2 | Progressive | 127.57 Bn | 103.40 Bn | 9.04 Bn | 8.39 Bn |
| 3 | Marsh & Mclennan Companies | 89.82 Bn | 81.98 Bn | - | 20.53 Bn |
| 4 | Travelers Companies | 80.92 Bn | 57.17 Bn | 6.23 Bn | 9.07 Bn |
| 5 | Manulife Financial | 75.09 Bn | -19.79 Bn | - | 46.19 Bn |
| 6 | Arthur J. Gallagher | 64.98 Bn | 59.38 Bn | - | 13.48 Bn |
| 7 | Metlife | 64.10 Bn | -42.68 Bn | 7.82 Bn | 5.89 Bn |
| 8 | Allstate | 63.22 Bn | 24.49 Bn | 8.73 Bn | 7.49 Bn |
| 9 | Aon | 61.77 Bn | 54.99 Bn | - | 14.97 Bn |
| 10 | White Mountains Insurance | 5.28 Bn | -6.13 Bn | 764.50 Mn | 932.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 932.50 Mn |
| Mar 31, 2026 | 834.80 Mn |
| Dec 31, 2025 | 837.00 Mn |
| Sep 30, 2025 | 870.40 Mn |
| Jun 30, 2025 | 694.60 Mn |
| Mar 31, 2025 | 676.10 Mn |
| Dec 31, 2024 | 562.50 Mn |
| Sep 30, 2024 | 544.90 Mn |
| Jun 30, 2024 | 530.20 Mn |
| Mar 31, 2024 | 532.10 Mn |
| Dec 31, 2023 | 564.60 Mn |
| Sep 30, 2023 | 564.70 Mn |
| Jun 30, 2023 | 566.10 Mn |
| Mar 31, 2023 | 556.30 Mn |
| Dec 31, 2022 | 575.20 Mn |
| Sep 30, 2022 | 615.50 Mn |
| Jun 30, 2022 | 618.10 Mn |
| Mar 31, 2022 | 690.90 Mn |
| Dec 31, 2021 | 420.90 Mn |
| Sep 30, 2021 | 710.40 Mn |
API Access
White Mountains Insurance Total Debt 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-debt&ticker=WTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=WTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();