Stewart Information Services (STC) EBIT (2010 - 2026)
Stewart Information Services (STC) posted EBIT 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) EBIT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Stewart Information Services was $217.22 million, up 44.0% year-over-year; for FY2025, it was $186.02 million, up 38.6% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- In prior years, Stewart Information Services' EBIT was $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%).
- Quarterly EBIT has run from a low of -$5.31 million in Q1 2023 to a high of $117.16 million in Q3 2021 over five years.
- On a year-over-year basis, EBIT has increased in each of the last five quarters, with growth averaging 56.2% over the last eight quarters.
- The strongest year-over-year quarter for EBIT in the past five years was Q1 2026, with growth of 187.8%; the weakest was Q4 2022, with a decline of 78.1%.
- According to Business Quant data, EBIT for the three prior quarters was $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) | EBIT (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 | - | 683.00 Mn |
| 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 EBIT 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=ebit&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();