White Mountains Insurance (WTM) Tax Provisions (2009 - 2026)
White Mountains Insurance (WTM) posted Tax Provisions of $24.8 million for Q2 2026, up 92.2% from $12.9 million a year earlier.
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Analysis
White Mountains Insurance (WTM) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at White Mountains Insurance was $130 million, up 243.9% year-over-year; for FY2025, it came in at $126.9 million, up 289.3% from FY2024.
- In prior years, White Mountains Insurance's Tax Provisions was $32.6 million in FY2024, -$15.5 million in FY2023, $41.4 million in FY2022 (-6.8%) and $44.4 million in FY2021.
- Quarterly Tax Provisions has run from a low of -$34.9 million in Q4 2023 to a high of $87.3 million in Q4 2025 over five years.
- On a year-over-year basis, Tax Provisions increased in four of the last six quarters, with growth averaging 32.4%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q2 2025, with growth of 98.5%; the weakest was Q1 2026, with a decline of 91.7%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $800,000 (Q1 2026), $87.3 million (Q4 2025) and $17.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 6.29 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 742.00 Mn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 898.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 411.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 559.00 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | -328.21 Mn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 256.00 Mn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 159.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 90.00 Mn |
| 10 | White Mountains Insurance | 4.79 Bn | -5.89 Bn | 764.50 Mn | 24.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.80 Mn |
| Mar 31, 2026 | 800,000.00 |
| Dec 31, 2025 | 87.30 Mn |
| Sep 30, 2025 | 17.10 Mn |
| Jun 30, 2025 | 12.90 Mn |
| Mar 31, 2025 | 9.60 Mn |
| Dec 31, 2024 | 3.70 Mn |
| Sep 30, 2024 | 11.60 Mn |
| Jun 30, 2024 | 6.50 Mn |
| Mar 31, 2024 | 10.80 Mn |
| Dec 31, 2023 | -34.90 Mn |
| Sep 30, 2023 | 7.30 Mn |
| Jun 30, 2023 | 200,000.00 |
| Mar 31, 2023 | 11.90 Mn |
| Dec 31, 2022 | 67.50 Mn |
| Sep 30, 2022 | -7.40 Mn |
| Jun 30, 2022 | -16.00 Mn |
| Mar 31, 2022 | -2.70 Mn |
| Dec 31, 2021 | -7.80 Mn |
| Sep 30, 2021 | 28.60 Mn |
API Access
White Mountains Insurance Tax Provisions 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=tax-provisions&ticker=WTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=WTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();