White Mountains Insurance (WTM) Retained Earnings (2009 - 2026)
White Mountains Insurance's Retained Earnings came in at $4.82 billion for Q2 2026, up 18.5% from $4.07 billion a year earlier and up 0.6% from the prior quarter.
White Mountains Insurance (WTM) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, White Mountains Insurance's Retained Earnings was $4.85 billion, up 23.6% from FY2024.
- Retained Earnings has increased in each of the last four years, with a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $3.92 billion in FY2024 (+6.2%), $3.69 billion in FY2023 (+14.9%), $3.21 billion in FY2022 (+8.6%) and $2.96 billion in FY2021 (-10.7%).
- The five-year range for quarterly Retained Earnings is $2.73 billion (Q2 2022) to $4.85 billion (Q4 2025).
- Year-over-year, Retained Earnings has increased for 16 consecutive quarters, with growth averaging 12.3% over the last eight quarters.
- The fastest year-over-year change in Retained Earnings over five years came in Q2 2023 (growth of 24.1%), and the weakest in Q2 2022 (a decline of 19.3%).
- Business Quant data shows WTM's Retained Earnings at $4.79 billion (Q1 2026), $4.85 billion (Q4 2025) and $4.18 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 798.96 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 71.68 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 32.26 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 29.30 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 58.35 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | - |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 45.38 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 82.00 Mn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 6.59 Bn |
| 10 | White Mountains Insurance | 4.83 Bn | -5.85 Bn | 764.50 Mn | 4.82 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.82 Bn |
| Mar 31, 2026 | 4.79 Bn |
| Dec 31, 2025 | 4.85 Bn |
| Sep 30, 2025 | 4.18 Bn |
| Jun 30, 2025 | 4.07 Bn |
| Mar 31, 2025 | 3.94 Bn |
| Dec 31, 2024 | 3.92 Bn |
| Sep 30, 2024 | 4.05 Bn |
| Jun 30, 2024 | 3.86 Bn |
| Mar 31, 2024 | 3.92 Bn |
| Dec 31, 2023 | 3.69 Bn |
| Sep 30, 2023 | 3.40 Bn |
| Jun 30, 2023 | 3.38 Bn |
| Mar 31, 2023 | 3.37 Bn |
| Dec 31, 2022 | 3.21 Bn |
| Sep 30, 2022 | 3.18 Bn |
| Jun 30, 2022 | 2.73 Bn |
| Mar 31, 2022 | 2.96 Bn |
| Dec 31, 2021 | 2.96 Bn |
| Sep 30, 2021 | 2.94 Bn |
White Mountains Insurance Retained Earnings 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=retained-earnings&ticker=WTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=WTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();