White Mountains Insurance (WTM) Selling, General & Administrative (2009 - 2026)
White Mountains Insurance's Selling, General & Administrative was $143.3 million in Q2 2026, up 8.2% from $132.4 million a year earlier but down 1.1% from the prior quarter.
White Mountains Insurance (WTM) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, White Mountains Insurance's Selling, General & Administrative was $661.3 million through Jun 30, 2026, up 40.5% year-over-year; for FY2025, it was $606.6 million, up 23.8% from FY2024.
- Selling, General & Administrative has now increased for five consecutive years, with a five-year compound annual growth rate of 23.9% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $490.1 million in FY2024 (+13.3%), $432.6 million in FY2023 (+18.8%), $364.1 million in FY2022 (+24.9%) and $291.6 million in FY2021 (+40.3%).
- Quarterly Selling, General & Administrative has moved between $51.9 million (Q3 2021) and $196.3 million (Q4 2025) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for five straight quarters, with growth averaging 20.5% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2022 (growth of 65.3%); the worst was Q3 2021 (a decline of 49.8%).
- Per Business Quant data, WTM's Selling, General & Administrative in the three quarters before Q2 2026 was $144.9 million (Q1 2026), $196.3 million (Q4 2025) and $176.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 6.72 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 1.17 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | - |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | 1.57 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | -902.21 Mn |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | - |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | - |
| 10 | White Mountains Insurance | 4.82 Bn | -5.86 Bn | 764.50 Mn | 143.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 143.30 Mn |
| Mar 31, 2026 | 144.90 Mn |
| Dec 31, 2025 | 196.30 Mn |
| Sep 30, 2025 | 176.80 Mn |
| Jun 30, 2025 | 132.40 Mn |
| Mar 31, 2025 | 96.00 Mn |
| Dec 31, 2024 | 120.50 Mn |
| Sep 30, 2024 | 121.90 Mn |
| Jun 30, 2024 | 122.50 Mn |
| Mar 31, 2024 | 125.20 Mn |
| Dec 31, 2023 | 134.40 Mn |
| Sep 30, 2023 | 99.60 Mn |
| Jun 30, 2023 | 102.60 Mn |
| Mar 31, 2023 | 96.00 Mn |
| Dec 31, 2022 | 107.20 Mn |
| Sep 30, 2022 | 85.80 Mn |
| Jun 30, 2022 | 101.20 Mn |
| Mar 31, 2022 | 69.90 Mn |
| Dec 31, 2021 | 76.10 Mn |
| Sep 30, 2021 | 51.90 Mn |
White Mountains Insurance Selling, General & Administrative 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=selling-general-and-administrative&ticker=WTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=WTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();