White Mountains Insurance (WTM) Cash from Operations (2009 - 2026)
White Mountains Insurance (WTM) posted Cash from Operations of -$55.5 million for Q2 2026, compared with $177.5 million a year earlier.
White Mountains Insurance (WTM) Cash from Operations (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cash from Operations at White Mountains Insurance was $388.2 million, down 17.5% year-over-year; for FY2025, it came in at $550.5 million, down 6.2% from FY2024.
- In prior years, White Mountains Insurance's Cash from Operations was $586.8 million in FY2024 (+45.2%), $404.1 million in FY2023 (+10.7%), $365 million in FY2022 (+845.6%) and $38.6 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Cash from Operations since Q1 2021.
- On a year-over-year basis, Cash from Operations increased in three of the last five quarters, with growth averaging 36.4%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q2 2024, with growth of 204.9%; the weakest was Q4 2023, with a decline of 88.2%.
- According to Business Quant data, Cash from Operations for the three prior quarters was $30.5 million (Q1 2026), $53.9 million (Q4 2025) and $359.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 11.22 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 3.73 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 3.61 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 1.52 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 1.92 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 3.00 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 2.23 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 556.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 10.00 Mn |
| 10 | White Mountains Insurance | 4.79 Bn | -5.89 Bn | 764.50 Mn | -55.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -55.50 Mn |
| Mar 31, 2026 | 30.50 Mn |
| Dec 31, 2025 | 53.90 Mn |
| Sep 30, 2025 | 359.30 Mn |
| Jun 30, 2025 | 177.50 Mn |
| Mar 31, 2025 | -40.20 Mn |
| Dec 31, 2024 | 64.10 Mn |
| Sep 30, 2024 | 269.40 Mn |
| Jun 30, 2024 | 216.80 Mn |
| Mar 31, 2024 | 36.50 Mn |
| Dec 31, 2023 | 24.50 Mn |
| Sep 30, 2023 | 222.90 Mn |
| Jun 30, 2023 | 71.10 Mn |
| Mar 31, 2023 | 85.60 Mn |
| Dec 31, 2022 | 208.10 Mn |
| Sep 30, 2022 | 117.00 Mn |
| Jun 30, 2022 | 85.80 Mn |
| Mar 31, 2022 | -45.90 Mn |
| Dec 31, 2021 | -7.40 Mn |
| Sep 30, 2021 | 74.50 Mn |
White Mountains Insurance Cash from Operations 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=cash-from-operations&ticker=WTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=WTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();