White Mountains Insurance (WTM) Shares Outstanding (Diluted) (2009 - 2026)
White Mountains Insurance (WTM) recorded Shares Outstanding (Diluted) of 2.41 million in Q2 2026, down 5.3% from 2.54 million a year earlier and down 1.6% from the prior quarter.
White Mountains Insurance (WTM) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, White Mountains Insurance reported Shares Outstanding (Diluted) of 2.53 million, up 0.1% from FY2024.
- Annual Shares Outstanding (Diluted) has a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 2.53 million in FY2024 (+0.2%), 2.53 million in FY2023 (-10.6%), 2.83 million in FY2022 (-7.1%) and 3.04 million in FY2021 (-1.3%).
- The Q2 2026 figure is the lowest quarterly Shares Outstanding (Diluted) in data going back to Q4 2009.
- On a year-over-year basis, Shares Outstanding (Diluted) rose in six of the last eight quarters, with an average decline of 0.9%.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 0.4% in Q3 2024, against a decline of 14.7% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 2.45 million (Q1 2026), 2.53 million (Q4 2025) and 2.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (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 | 391.25 Mn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 584.20 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 482.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 213.60 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 1.71 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 646.90 Mn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 213.90 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 258.70 Mn |
| 10 | White Mountains Insurance | 4.79 Bn | -5.89 Bn | 764.50 Mn | 2.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.41 Mn |
| Mar 31, 2026 | 2.45 Mn |
| Dec 31, 2025 | 2.53 Mn |
| Sep 30, 2025 | 2.54 Mn |
| Jun 30, 2025 | 2.54 Mn |
| Mar 31, 2025 | 2.54 Mn |
| Dec 31, 2024 | 2.53 Mn |
| Sep 30, 2024 | 2.53 Mn |
| Jun 30, 2024 | 2.53 Mn |
| Mar 31, 2024 | 2.53 Mn |
| Dec 31, 2023 | 2.53 Mn |
| Sep 30, 2023 | 2.52 Mn |
| Jun 30, 2023 | 2.52 Mn |
| Mar 31, 2023 | 2.54 Mn |
| Dec 31, 2022 | 2.83 Mn |
| Sep 30, 2022 | 2.86 Mn |
| Jun 30, 2022 | 2.94 Mn |
| Mar 31, 2022 | 2.98 Mn |
| Dec 31, 2021 | 3.04 Mn |
| Sep 30, 2021 | 3.05 Mn |
White Mountains Insurance Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=WTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=WTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();