Stewart Information Services (STC) Shares Outstanding (2010 - 2026)
Stewart Information Services (STC) posted Shares Outstanding of 30.44 million for Q2 2026, up 9.0% from 27.93 million a year earlier and up 0.5% from the prior quarter.
Stewart Information Services (STC) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Stewart Information Services' Shares Outstanding came in at 28.07 million, up 1.6% from FY2024.
- Annual Shares Outstanding has increased for nine consecutive years, with a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In prior years, Stewart Information Services' Shares Outstanding was 27.63 million in FY2024 (+1.2%), 27.29 million in FY2023 (+0.9%), 27.06 million in FY2022 (+0.9%) and 26.82 million in FY2021 (+8.2%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding in data going back to Q2 2010.
- On a year-over-year basis, Shares Outstanding has increased in each of the last 38 quarters, with growth averaging 3.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding ran from 0.8% in Q2 2022 to 9.0% in Q2 2026.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 30.3 million (Q1 2026), 28.07 million (Q4 2025) and 28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 1.44 Mn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 387.41 Mn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 583.00 Mn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 480.00 Mn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 210.50 Mn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | 1.70 Bn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 642.60 Mn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 256.70 Mn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 256.00 Mn |
| 10 | Stewart Information Services | 1.75 Bn | 533.81 Mn | 877.17 Mn | 30.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.44 Mn |
| Mar 31, 2026 | 30.30 Mn |
| Dec 31, 2025 | 28.07 Mn |
| Sep 30, 2025 | 28.00 Mn |
| Jun 30, 2025 | 27.93 Mn |
| Mar 31, 2025 | 27.83 Mn |
| Dec 31, 2024 | 27.63 Mn |
| Sep 30, 2024 | 27.69 Mn |
| Jun 30, 2024 | 27.59 Mn |
| Mar 31, 2024 | 27.51 Mn |
| Dec 31, 2023 | 27.29 Mn |
| Sep 30, 2023 | 27.35 Mn |
| Jun 30, 2023 | 27.26 Mn |
| Mar 31, 2023 | 27.20 Mn |
| Dec 31, 2022 | 27.06 Mn |
| Sep 30, 2022 | 27.11 Mn |
| Jun 30, 2022 | 27.02 Mn |
| Mar 31, 2022 | 26.96 Mn |
| Dec 31, 2021 | 26.82 Mn |
| Sep 30, 2021 | 26.87 Mn |
Stewart Information Services Shares Outstanding 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&ticker=STC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();