Stewart Information Services (STC) Operating Income (2010 - 2026)
Stewart Information Services (STC) reported Operating Income of $62.54 million for Q2 2026, up 20.9% from $51.73 million a year earlier and up 100.1% from the prior quarter.
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Analysis
Stewart Information Services (STC) Operating Income (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Stewart Information Services' Operating Income came in at $217.22 million, up 44.0% year-over-year; for FY2025, it came in at $186.02 million, up 38.6% from FY2024.
- Operating Income has a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- By year, Operating Income came in at $134.23 million in FY2024 (+66.5%), $80.6 million in FY2023 (-67.9%), $251.06 million in FY2022 (-42.8%) and $439 million in FY2021 (+98.5%).
- Five-year quarterly Operating Income spans a low of -$5.31 million in Q1 2023 and a high of $117.16 million in Q3 2021.
- Year over year, Operating Income has now increased in each of the last five quarters, with growth averaging 56.2% over the last eight quarters.
- The high point for year-over-year Operating Income in five years was Q1 2026 (growth of 187.8%); the low point was Q4 2022 (a decline of 78.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $31.25 million (Q1 2026), $57.36 million (Q4 2025) and $66.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.29 Bn | 85.93 Bn | 8.67 Bn | 3.61 Bn |
| 2 | Progressive | 132.20 Bn | 107.72 Bn | 8.29 Bn | 3.32 Bn |
| 3 | Marsh & Mclennan Companies | 96.60 Bn | 88.76 Bn | - | 1.22 Bn |
| 4 | Travelers Companies | 82.11 Bn | 59.60 Bn | 5.93 Bn | 2.49 Bn |
| 5 | Manulife Financial | 75.43 Bn | 8.45 Bn | - | - |
| 6 | Arthur J. Gallagher | 71.09 Bn | 65.68 Bn | - | - |
| 7 | Aon | 70.49 Bn | 49.69 Bn | - | 809.00 Mn |
| 8 | Metlife | 65.52 Bn | -41.26 Bn | 7.82 Bn | 4.10 Bn |
| 9 | Allstate | 64.49 Bn | 24.33 Bn | 7.41 Bn | 2.71 Bn |
| 10 | Stewart Information Services | 1.39 Bn | 191.88 Mn | 877.17 Mn | 53.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 53.18 Mn |
| Jun 30, 2026 | 62.54 Mn |
| Mar 31, 2026 | 31.25 Mn |
| Dec 31, 2025 | 57.36 Mn |
| Sep 30, 2025 | 66.07 Mn |
| Jun 30, 2025 | 51.73 Mn |
| Mar 31, 2025 | 10.86 Mn |
| Dec 31, 2024 | 40.51 Mn |
| Sep 30, 2024 | 47.69 Mn |
| Jun 30, 2024 | 33.82 Mn |
| Mar 31, 2024 | 12.20 Mn |
| Dec 31, 2023 | 23.74 Mn |
| Sep 30, 2023 | 32.12 Mn |
| Jun 30, 2023 | 30.05 Mn |
| Mar 31, 2023 | -5.31 Mn |
| Dec 31, 2022 | 25.68 Mn |
| Sep 30, 2022 | 51.28 Mn |
| Jun 30, 2022 | 65.55 Mn |
| Mar 31, 2022 | 84.02 Mn |
| Dec 31, 2021 | 117.14 Mn |
API Access
Stewart Information Services Operating 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=operating-income&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-income&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();