Stewart Information Services (STC) Free Cash Flow (2010 - 2026)
Stewart Information Services (STC) posted Free Cash Flow of $35.05 million for Q2 2026, down 9.4% from $38.66 million a year earlier.
Stewart Information Services (STC) Free Cash Flow (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Free Cash Flow at Stewart Information Services was $149.97 million, up 25.5% year-over-year; for FY2025, it came in at $132.28 million, up 39.0% from FY2024.
- Annual Free Cash Flow shows a five-year compound annual growth rate of -12.7% (FY2020 to FY2025).
- In prior years, Stewart Information Services' Free Cash Flow was $95.14 million in FY2024 (+110.3%), $45.25 million in FY2023 (-68.6%), $143.91 million in FY2022 (-58.9%) and $350.49 million in FY2021 (+34.4%).
- Quarterly Free Cash Flow has run from a low of -$59.96 million in Q1 2023 to a high of $119.39 million in Q4 2021 over five years.
- On a year-over-year basis, Free Cash Flow increased in five of the last six quarters, with growth averaging 60.5%.
- The strongest year-over-year quarter for Free Cash Flow in the past five years was Q2 2025, with growth of 224.4%; the weakest was Q4 2022, with a decline of 89.8%.
- According to Business Quant data, Free Cash Flow for the three prior quarters was -$20.93 million (Q1 2026), $62.3 million (Q4 2025) and $73.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 5.57 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 3.73 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 3.47 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 1.45 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 1.92 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 3.00 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 2.23 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 483.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | -41.00 Mn |
| 10 | Stewart Information Services | 1.51 Bn | 292.96 Mn | 877.17 Mn | 35.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.05 Mn |
| Mar 31, 2026 | -20.93 Mn |
| Dec 31, 2025 | 62.30 Mn |
| Sep 30, 2025 | 73.56 Mn |
| Jun 30, 2025 | 38.66 Mn |
| Mar 31, 2025 | -42.24 Mn |
| Dec 31, 2024 | 55.61 Mn |
| Sep 30, 2024 | 67.42 Mn |
| Jun 30, 2024 | 11.92 Mn |
| Mar 31, 2024 | -39.81 Mn |
| Dec 31, 2023 | 31.16 Mn |
| Sep 30, 2023 | 45.54 Mn |
| Jun 30, 2023 | 28.51 Mn |
| Mar 31, 2023 | -59.96 Mn |
| Dec 31, 2022 | 12.15 Mn |
| Sep 30, 2022 | 39.81 Mn |
| Jun 30, 2022 | 69.38 Mn |
| Mar 31, 2022 | 22.58 Mn |
| Dec 31, 2021 | 119.39 Mn |
| Sep 30, 2021 | 97.08 Mn |
Stewart Information Services Free Cash Flow 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=free-cash-flow&ticker=STC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();