Stewart Information Services (STC) EPS (Diluted) (2010 - 2026)
Stewart Information Services (STC) recorded EPS (Diluted) of $1.21 in Q2 2026, up 7.1% from $1.13 a year earlier and up 119.1% from the prior quarter.
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Analysis
Stewart Information Services (STC) EPS (Diluted) (2010 - 2026) Analysis & Trends
On a TTM basis, Stewart Information Services' EPS (Diluted) came in at $4.37 as of Jun 30, 2026, up 40.8% year-over-year; for FY2025, it came in at $4.05, up 55.2% from FY2024.
- Annual EPS (Diluted) has a five-year compound annual growth rate of -8.2% (FY2020 to FY2025).
- Across earlier years, EPS (Diluted) came in at $2.61 in FY2024 (+135.6%), $1.11 in FY2023 (-81.4%), $5.94 in FY2022 (-50.1%) and $11.90 in FY2021 (+91.3%).
- Quarterly EPS (Diluted) has ranged from -$0.30 in Q1 2023 to $3.26 in Q3 2021 over the past five years.
- On a year-over-year basis, EPS (Diluted) has increased for five consecutive quarters, with growth averaging 107.4% over the last eight quarters.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 407.2% in Q1 2026, against a decline of 84.5% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $0.55 (Q1 2026), $1.27 (Q4 2025) and $1.55 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | - |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 7.29 |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 5.67 |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 2.63 |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 10.34 |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | 0.89 |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 1.09 |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 1.25 |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 12.51 |
| 10 | Stewart Information Services | 1.75 Bn | 533.81 Mn | 877.17 Mn | 1.21 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.21 |
| Mar 31, 2026 | 0.55 |
| Dec 31, 2025 | 1.27 |
| Sep 30, 2025 | 1.55 |
| Jun 30, 2025 | 1.13 |
| Mar 31, 2025 | 0.11 |
| Dec 31, 2024 | 0.81 |
| Sep 30, 2024 | 1.07 |
| Jun 30, 2024 | 0.62 |
| 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 | 1.08 |
| Jun 30, 2022 | 2.26 |
| Mar 31, 2022 | 2.11 |
| Dec 31, 2021 | 3.15 |
| Sep 30, 2021 | 3.26 |
API Access
Stewart Information Services EPS (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=eps-diluted&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();