White Mountains Insurance (WTM) Other Operating Expenses (2009 - 2026)
White Mountains Insurance (WTM) recorded Other Operating Expenses of $31.7 million in Q2 2026, up 11.6% from $28.4 million a year earlier and up 217.0% from the prior quarter.
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Analysis
White Mountains Insurance (WTM) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, White Mountains Insurance's Other Operating Expenses came in at $176.6 million as of Jun 30, 2026, up 105.1% year-over-year; for FY2025, it was $173 million, up 182.2% from FY2024.
- Annual Other Operating Expenses has increased for four straight years.
- Across earlier years, Other Operating Expenses came in at $61.3 million in FY2024 (+25.9%), $48.7 million in FY2023 (+181.5%), $17.3 million in FY2022 (+214.5%) and $5.5 million in FY2021.
- Quarterly Other Operating Expenses has ranged from -$2.4 million in Q1 2023 to $98.8 million in Q4 2025 over the past five years.
- On a year-over-year basis, Other Operating Expenses has increased for five consecutive quarters, with growth averaging 113.5% over the last seven quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 615.9% in Q4 2025, against a decline of 56.7% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $10 million (Q1 2026), $98.8 million (Q4 2025) and $36.1 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.70 Mn |
| Mar 31, 2026 | 10.00 Mn |
| Dec 31, 2025 | 98.80 Mn |
| Sep 30, 2025 | 36.10 Mn |
| Jun 30, 2025 | 28.40 Mn |
| Mar 31, 2025 | 9.70 Mn |
| Dec 31, 2024 | 13.80 Mn |
| Sep 30, 2024 | 34.20 Mn |
| Jun 30, 2024 | 13.30 Mn |
| Dec 31, 2023 | 31.90 Mn |
| Sep 30, 2023 | 17.00 Mn |
| Jun 30, 2023 | 2.20 Mn |
| Mar 31, 2023 | -2.40 Mn |
| Dec 31, 2022 | 12.40 Mn |
| Sep 30, 2022 | 2.70 Mn |
| Jun 30, 2022 | 100,000.00 |
| Mar 31, 2022 | 2.10 Mn |
| Dec 31, 2021 | 4.70 Mn |
| Sep 30, 2021 | 600,000.00 |
| Jun 30, 2021 | 200,000.00 |
API Access
White Mountains Insurance Other Operating Expenses 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-operating-expenses&ticker=WTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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-operating-expenses&ticker=WTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();