Markel (MKL) Shares Outstanding (Diluted) (2009 - 2026)
Markel's Weighted Average Shares Outstanding (Diluted) was 12.45 million in Q3 2026, down 1.2% from 12.6 million a year earlier and down 1.2% from the prior quarter.
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Analysis
Markel (MKL) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at Markel came in at 12.65 million, down 3.0% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has now declined for nine consecutive years, with a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 13.04 million in FY2024 (-2.5%), 13.38 million in FY2023 (-1.5%), 13.58 million in FY2022 (-1.6%) and 13.8 million in FY2021 (-0.2%).
- The Q3 2026 figure marks the lowest quarterly Weighted Average Shares Outstanding (Diluted) since Q1 2013.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has declined for 21 straight quarters, with an average decline of 2.2% over the last eight quarters.
- Over the past five years, the year-over-year decline in Weighted Average Shares Outstanding (Diluted) ranged from 0.2% (Q4 2021) to 3.2% (Q3 2025).
- Per Business Quant data, MKL's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 12.59 million (Q2 2026), 12.63 million (Q1 2026) and 12.65 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.04 Bn | 85.69 Bn | 8.67 Bn | 389.37 Mn |
| 2 | Progressive | 132.33 Bn | 107.86 Bn | 8.29 Bn | 582.20 Mn |
| 3 | Marsh & Mclennan Companies | 97.77 Bn | 89.93 Bn | - | 479.00 Mn |
| 4 | Travelers Companies | 81.70 Bn | 59.18 Bn | 5.93 Bn | 210.60 Mn |
| 5 | Manulife Financial | 75.38 Bn | -20.12 Bn | - | 1.71 Bn |
| 6 | Arthur J. Gallagher | 72.26 Bn | 66.85 Bn | - | 259.40 Mn |
| 7 | Aon | 71.52 Bn | 50.73 Bn | - | 213.00 Mn |
| 8 | Metlife | 65.44 Bn | -41.34 Bn | 7.82 Bn | 646.90 Mn |
| 9 | Allstate | 63.89 Bn | 23.73 Bn | 7.41 Bn | 255.30 Mn |
| 10 | Markel | 24.19 Bn | -42.36 Bn | 2.88 Bn | 12.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.45 Mn |
| Jun 30, 2026 | 12.59 Mn |
| Mar 31, 2026 | 12.63 Mn |
| Dec 31, 2025 | 12.65 Mn |
| Sep 30, 2025 | 12.60 Mn |
| Jun 30, 2025 | 12.73 Mn |
| Mar 31, 2025 | 12.84 Mn |
| Dec 31, 2024 | 13.04 Mn |
| Sep 30, 2024 | 13.02 Mn |
| Jun 30, 2024 | 13.08 Mn |
| Mar 31, 2024 | 13.16 Mn |
| Dec 31, 2023 | 13.38 Mn |
| Sep 30, 2023 | 13.35 Mn |
| Jun 30, 2023 | 13.41 Mn |
| Mar 31, 2023 | 13.48 Mn |
| Dec 31, 2022 | 13.58 Mn |
| Sep 30, 2022 | 13.60 Mn |
| Jun 30, 2022 | 13.61 Mn |
| Mar 31, 2022 | 13.65 Mn |
| Dec 31, 2021 | 13.80 Mn |
API Access
Markel 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=MKL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "MKL", "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=MKL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();