Stewart Information Services (STC) Shares Outstanding (Diluted) (2009 - 2026)
Stewart Information Services (STC) reported Weighted Average Shares Outstanding (Diluted) of 30.85 million for Q3 2026, up 8.3% from 28.49 million a year earlier and unchanged from the prior quarter.
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Analysis
Stewart Information Services (STC) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Stewart Information Services posted Weighted Average Shares Outstanding (Diluted) of 28.56 million, up 1.5% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has increased for nine consecutive years, with a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 28.13 million in FY2024 (+2.2%), 27.52 million in FY2023 (+0.6%), 27.35 million in FY2022 (+0.7%) and 27.17 million in FY2021 (+9.1%).
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last 14 quarters, with growth averaging 4.1% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q4 2021 (growth of 9.1%); the low point was Q1 2023 (a decline of 0.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 30.85 million (Q2 2026), 30.81 million (Q1 2026) and 28.56 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | - |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 389.37 Mn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 582.20 Mn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 479.00 Mn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 210.60 Mn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | 1.71 Bn |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 259.40 Mn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 213.00 Mn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 255.30 Mn |
| 10 | Stewart Information Services | 1.37 Bn | 175.90 Mn | 877.17 Mn | 30.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 30.98 Mn |
| Jun 30, 2026 | 30.85 Mn |
| Mar 31, 2026 | 30.81 Mn |
| Dec 31, 2025 | 28.56 Mn |
| Sep 30, 2025 | 28.49 Mn |
| Jun 30, 2025 | 28.33 Mn |
| Mar 31, 2025 | 28.34 Mn |
| Dec 31, 2024 | 28.13 Mn |
| Sep 30, 2024 | 28.20 Mn |
| Jun 30, 2024 | 28.01 Mn |
| Mar 31, 2024 | 28.03 Mn |
| Dec 31, 2023 | 27.52 Mn |
| Sep 30, 2023 | 27.65 Mn |
| Jun 30, 2023 | 27.44 Mn |
| Mar 31, 2023 | 27.20 Mn |
| Dec 31, 2022 | 27.35 Mn |
| Sep 30, 2022 | 27.37 Mn |
| Jun 30, 2022 | 27.29 Mn |
| Mar 31, 2022 | 27.44 Mn |
| Dec 31, 2021 | 27.17 Mn |
API Access
Stewart Information Services 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=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "STC", "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=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();