Stewart Information Services (STC) Net Income (2009 - 2026)
Stewart Information Services (STC) recorded Net Income of $41.75 million in Q2 2026, up 17.2% from $35.64 million a year earlier and up 118.9% from the prior quarter.
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Analysis
Stewart Information Services (STC) Net Income (2009 - 2026) Analysis & Trends
On a TTM basis, Stewart Information Services' Net Income came in at $149.93 million as of Jun 30, 2026, up 47.1% year-over-year; for FY2025, it was $130.16 million, up 47.7% from FY2024.
- Annual Net Income has a five-year compound annual growth rate of -5.2% (FY2020 to FY2025).
- Across earlier years, Net Income came in at $88.16 million in FY2024 (+93.3%), $45.6 million in FY2023 (-74.9%), $181.79 million in FY2022 (-46.5%) and $339.98 million in FY2021 (+100.4%).
- Quarterly Net Income has ranged from -$8.19 million in Q1 2023 to $93.4 million in Q3 2021 over the past five years.
- On a year-over-year basis, Net Income has increased for five consecutive quarters, with growth averaging 76.8% over the last eight quarters.
- Peak year-over-year performance for Net Income in the last five years was growth of 252.1% in Q1 2026, against a decline of 79.8% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $19.07 million (Q1 2026), $40.92 million (Q4 2025) and $48.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | 22.19 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 2.84 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 2.54 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 812.00 Mn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 1.92 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | 1.08 Bn |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 406.00 Mn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 486.00 Mn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 2.08 Bn |
| 10 | Stewart Information Services | 1.37 Bn | 175.90 Mn | 877.17 Mn | 33.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 33.93 Mn |
| Jun 30, 2026 | 41.75 Mn |
| Mar 31, 2026 | 19.07 Mn |
| Dec 31, 2025 | 40.92 Mn |
| Sep 30, 2025 | 48.20 Mn |
| Jun 30, 2025 | 35.64 Mn |
| Mar 31, 2025 | 5.42 Mn |
| Dec 31, 2024 | 27.21 Mn |
| Sep 30, 2024 | 33.67 Mn |
| Jun 30, 2024 | 21.07 Mn |
| Mar 31, 2024 | 6.21 Mn |
| Dec 31, 2023 | 13.10 Mn |
| Sep 30, 2023 | 17.93 Mn |
| Jun 30, 2023 | 19.78 Mn |
| Mar 31, 2023 | -8.19 Mn |
| Dec 31, 2022 | 18.26 Mn |
| Sep 30, 2022 | 34.73 Mn |
| Jun 30, 2022 | 66.89 Mn |
| Mar 31, 2022 | 61.91 Mn |
| Dec 31, 2021 | 90.63 Mn |
API Access
Stewart Information Services Net Income 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=net-income&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();