Stewart Information Services (STC) Cash from Operations (2010 - 2026)
Stewart Information Services (STC) recorded Cash from Operations of $60.5 million in Q2 2026, up 13.2% from $53.43 million a year earlier.
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Analysis
Stewart Information Services (STC) Cash from Operations (2010 - 2026) Analysis & Trends
On a TTM basis, Stewart Information Services' Cash from Operations came in at $238.2 million as of Jun 30, 2026, up 42.1% year-over-year; for FY2025, it came in at $205.69 million, up 51.7% from FY2024.
- Annual Cash from Operations has a five-year compound annual growth rate of -5.7% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at $135.61 million in FY2024 (+63.3%), $83.04 million in FY2023 (-56.7%), $191.86 million in FY2022 (-50.8%) and $390.29 million in FY2021 (+41.5%).
- Quarterly Cash from Operations has ranged from -$51.06 million in Q1 2023 to $132.97 million in Q4 2021 over the past five years.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 152.9% in Q2 2025, against a decline of 81.3% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -$4.49 million (Q1 2026), $89.54 million (Q4 2025) and $92.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 11.22 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 3.73 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 3.61 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 1.52 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 1.92 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | 3.00 Bn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 2.23 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 556.00 Mn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 10.00 Mn |
| 10 | Stewart Information Services | 1.73 Bn | 508.24 Mn | 877.17 Mn | 60.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.50 Mn |
| Mar 31, 2026 | -4.49 Mn |
| Dec 31, 2025 | 89.54 Mn |
| Sep 30, 2025 | 92.65 Mn |
| Jun 30, 2025 | 53.43 Mn |
| Mar 31, 2025 | -29.93 Mn |
| Dec 31, 2024 | 67.95 Mn |
| Sep 30, 2024 | 76.12 Mn |
| Jun 30, 2024 | 21.12 Mn |
| Mar 31, 2024 | -29.59 Mn |
| Dec 31, 2023 | 39.46 Mn |
| Sep 30, 2023 | 59.53 Mn |
| Jun 30, 2023 | 35.11 Mn |
| Mar 31, 2023 | -51.06 Mn |
| Dec 31, 2022 | 24.82 Mn |
| Sep 30, 2022 | 48.85 Mn |
| Jun 30, 2022 | 83.31 Mn |
| Mar 31, 2022 | 34.88 Mn |
| Dec 31, 2021 | 132.97 Mn |
| Sep 30, 2021 | 106.87 Mn |
API Access
Stewart Information Services Cash from Operations 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=cash-from-operations&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();