Stewart Information Services (STC) Cash & Equivalents (2009 - 2026)
Stewart Information Services' Cash & Equivalents came in at $152.31 million for Q3 2026, down 19.2% from $188.52 million a year earlier and down 41.8% from the prior quarter.
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Analysis
Stewart Information Services (STC) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Stewart Information Services' Cash & Equivalents was $321.78 million, up 48.8% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -5.8% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $216.3 million in FY2024 (-7.3%), $233.37 million in FY2023 (-6.0%), $248.37 million in FY2022 (-48.9%) and $485.92 million in FY2021 (+12.3%).
- The Q3 2026 figure represents the lowest quarterly Cash & Equivalents since Q1 2025.
- Year-over-year, Cash & Equivalents increased in six of the last eight quarters, with growth averaging 24.4%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q1 2026 (growth of 82.6%), and the weakest in Q1 2023 (a decline of 55.9%).
- Business Quant data shows STC's Cash & Equivalents at $261.63 million (Q2 2026), $271.24 million (Q1 2026) and $321.78 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | 40.70 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 3.01 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 156.00 Mn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 1.84 Bn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | - |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | - |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 1.21 Bn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 2.02 Bn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 549.00 Mn |
| 10 | Stewart Information Services | 1.37 Bn | 175.90 Mn | 877.17 Mn | 152.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 152.31 Mn |
| Jun 30, 2026 | 261.63 Mn |
| Mar 31, 2026 | 271.24 Mn |
| Dec 31, 2025 | 321.78 Mn |
| Sep 30, 2025 | 188.52 Mn |
| Jun 30, 2025 | 178.10 Mn |
| Mar 31, 2025 | 148.51 Mn |
| Dec 31, 2024 | 216.30 Mn |
| Sep 30, 2024 | 183.77 Mn |
| Jun 30, 2024 | 133.41 Mn |
| Mar 31, 2024 | 138.35 Mn |
| Dec 31, 2023 | 233.37 Mn |
| Sep 30, 2023 | 202.99 Mn |
| Jun 30, 2023 | 190.04 Mn |
| Mar 31, 2023 | 174.82 Mn |
| Dec 31, 2022 | 248.37 Mn |
| Sep 30, 2022 | 320.93 Mn |
| Jun 30, 2022 | 405.31 Mn |
| Mar 31, 2022 | 396.65 Mn |
| Dec 31, 2021 | 485.92 Mn |
API Access
Stewart Information Services Cash & Equivalents 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-and-equivalents&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();