Stewart Information Services (STC) Net Cash Flow (2010 - 2026)
Stewart Information Services (STC) recorded Net Cash Flow of -$10.79 million in Q2 2026, compared with $27.06 million a year earlier.
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Analysis
Stewart Information Services (STC) Net Cash Flow (2010 - 2026) Analysis & Trends
On a TTM basis, Stewart Information Services' Net Cash Flow came in at $83.84 million as of Jun 30, 2026, up 89.8% year-over-year; for FY2025, it came in at $102.32 million.
- Annual Net Cash Flow has a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- Across earlier years, Net Cash Flow came in at -$12.61 million in FY2024, -$16.03 million in FY2023, -$232.03 million in FY2022 and $55.39 million in FY2021 (-43.9%).
- Quarterly Net Cash Flow has ranged from -$121.43 million in Q4 2021 to $209.16 million in Q3 2021 over the past five years.
- On a year-over-year basis, Net Cash Flow rose in three of the last four quarters, with growth averaging 111.5%.
- Per Business Quant, the preceding three quarters came in at -$49.21 million (Q1 2026), $132.88 million (Q4 2025) and $10.96 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | -17.40 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 119.00 Mn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 14.00 Mn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 562.00 Mn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 8.00 Mn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | -1.97 Bn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | -3.43 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 908.00 Mn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 143.00 Mn |
| 10 | Stewart Information Services | 1.75 Bn | 533.81 Mn | 877.17 Mn | -10.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.79 Mn |
| Mar 31, 2026 | -49.21 Mn |
| Dec 31, 2025 | 132.88 Mn |
| Sep 30, 2025 | 10.96 Mn |
| Jun 30, 2025 | 27.06 Mn |
| Mar 31, 2025 | -68.58 Mn |
| Dec 31, 2024 | 36.97 Mn |
| Sep 30, 2024 | 48.72 Mn |
| Jun 30, 2024 | -4.57 Mn |
| Mar 31, 2024 | -93.74 Mn |
| Dec 31, 2023 | 28.31 Mn |
| Sep 30, 2023 | 14.61 Mn |
| Jun 30, 2023 | 14.31 Mn |
| Mar 31, 2023 | -73.26 Mn |
| Dec 31, 2022 | -75.58 Mn |
| Sep 30, 2022 | -79.18 Mn |
| Jun 30, 2022 | 11.63 Mn |
| Mar 31, 2022 | -88.90 Mn |
| Dec 31, 2021 | -121.43 Mn |
| Sep 30, 2021 | 209.16 Mn |
API Access
Stewart Information Services Net 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=net-cash-flow&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-cash-flow&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();