Stewart Information Services (STC) Retained Earnings (2010 - 2026)
Stewart Information Services (STC) posted Retained Earnings of $1.18 billion for Q3 2026, up 4.9% from $1.13 billion a year earlier and up 1.1% from the prior quarter.
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Analysis
Stewart Information Services (STC) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Stewart Information Services' Retained Earnings came in at $1.15 billion, up 5.1% from FY2024.
- Annual Retained Earnings shows a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- In prior years, Stewart Information Services' Retained Earnings was $1.09 billion in FY2024 (+1.7%), $1.07 billion in FY2023 (-1.9%), $1.09 billion in FY2022 (+12.0%) and $974.8 million in FY2021 (+41.5%).
- The Q3 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2010.
- On a year-over-year basis, Retained Earnings has increased in each of the last nine quarters, with growth averaging 4.1% over the last eight quarters.
- The strongest year-over-year quarter for Retained Earnings in the past five years was Q4 2021, with growth of 41.5%; the weakest was Q4 2023, with a decline of 1.9%.
- According to Business Quant data, Retained Earnings for the three prior quarters was $1.17 billion (Q2 2026), $1.15 billion (Q1 2026) and $1.15 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.29 Bn | 85.93 Bn | 8.67 Bn | 74.52 Bn |
| 2 | Progressive | 132.20 Bn | 107.72 Bn | 8.29 Bn | 34.28 Bn |
| 3 | Marsh & Mclennan Companies | 96.60 Bn | 88.76 Bn | - | 29.16 Bn |
| 4 | Travelers Companies | 82.11 Bn | 59.60 Bn | 5.93 Bn | 60.00 Bn |
| 5 | Manulife Financial | 75.43 Bn | 8.45 Bn | - | 3.67 Bn |
| 6 | Arthur J. Gallagher | 71.09 Bn | 65.68 Bn | - | 6.81 Bn |
| 7 | Aon | 70.49 Bn | 49.69 Bn | - | 384.00 Mn |
| 8 | Metlife | 65.52 Bn | -41.26 Bn | 7.82 Bn | 45.38 Bn |
| 9 | Allstate | 64.49 Bn | 24.33 Bn | 7.41 Bn | 69.28 Bn |
| 10 | Stewart Information Services | 1.39 Bn | 191.88 Mn | 877.17 Mn | 1.18 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.18 Bn |
| Jun 30, 2026 | 1.17 Bn |
| Mar 31, 2026 | 1.15 Bn |
| Dec 31, 2025 | 1.15 Bn |
| Sep 30, 2025 | 1.13 Bn |
| Jun 30, 2025 | 1.10 Bn |
| Mar 31, 2025 | 1.08 Bn |
| Dec 31, 2024 | 1.09 Bn |
| Sep 30, 2024 | 1.08 Bn |
| Jun 30, 2024 | 1.06 Bn |
| Mar 31, 2024 | 1.06 Bn |
| Dec 31, 2023 | 1.07 Bn |
| Sep 30, 2023 | 1.08 Bn |
| Jun 30, 2023 | 1.07 Bn |
| Mar 31, 2023 | 1.07 Bn |
| Dec 31, 2022 | 1.09 Bn |
| Sep 30, 2022 | 1.09 Bn |
| Jun 30, 2022 | 1.07 Bn |
| Mar 31, 2022 | 1.02 Bn |
| Dec 31, 2021 | 974.80 Mn |
API Access
Stewart Information Services Retained Earnings 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=retained-earnings&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();