Stewart Information Services (STC) EPS (Basic) (2010 - 2026)
Stewart Information Services (STC) posted EPS (Basic) of $1.22 for Q2 2026, up 7.0% from $1.14 a year earlier and up 118.4% from the prior quarter.
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Analysis
Stewart Information Services (STC) EPS (Basic) (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Basic) at Stewart Information Services was $4.43, up 40.7% year-over-year; for FY2025, it came in at $4.12, up 55.1% from FY2024.
- Annual EPS (Basic) shows a five-year compound annual growth rate of -8.0% (FY2020 to FY2025).
- In prior years, Stewart Information Services' EPS (Basic) was $2.65 in FY2024 (+137.9%), $1.12 in FY2023 (-81.4%), $6.00 in FY2022 (-50.2%) and $12.05 in FY2021 (+92.9%).
- Quarterly EPS (Basic) has run from a low of -$0.30 in Q1 2023 to a high of $3.30 in Q3 2021 over five years.
- On a year-over-year basis, EPS (Basic) has increased in each of the last five quarters, with growth averaging 107.8% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Basic) in the past five years was Q1 2026, with growth of 406.4%; the weakest was Q4 2022, with a decline of 84.6%.
- According to Business Quant data, EPS (Basic) for the three prior quarters was $0.56 (Q1 2026), $1.29 (Q4 2025) and $1.58 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 17,868.44 |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 7.37 |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 5.68 |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 2.64 |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 10.49 |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | 0.90 |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 1.10 |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 1.26 |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 12.66 |
| 10 | Stewart Information Services | 1.75 Bn | 533.81 Mn | 877.17 Mn | 1.22 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.22 |
| Mar 31, 2026 | 0.56 |
| Dec 31, 2025 | 1.29 |
| Sep 30, 2025 | 1.58 |
| Jun 30, 2025 | 1.14 |
| Mar 31, 2025 | 0.11 |
| Dec 31, 2024 | 0.82 |
| Sep 30, 2024 | 1.09 |
| Jun 30, 2024 | 0.63 |
| Mar 31, 2024 | 0.11 |
| Dec 31, 2023 | 0.32 |
| Sep 30, 2023 | 0.51 |
| Jun 30, 2023 | 0.58 |
| Mar 31, 2023 | -0.30 |
| Dec 31, 2022 | 0.49 |
| Sep 30, 2022 | 1.09 |
| Jun 30, 2022 | 2.28 |
| Mar 31, 2022 | 2.15 |
| Dec 31, 2021 | 3.19 |
| Sep 30, 2021 | 3.30 |
API Access
Stewart Information Services EPS (Basic) 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=eps-basic&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();