Stewart Information Services (STC) Cash & Equivalents (2010 - 2026)
Stewart Information Services' Cash & Equivalents came in at $261.63 million for Q2 2026, up 46.9% from $178.1 million a year earlier but down 3.5% from the prior quarter.
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Analysis
Stewart Information Services (STC) Cash & Equivalents (2010 - 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 five-year range for quarterly Cash & Equivalents is $133.41 million (Q2 2024) to $607.61 million (Q3 2021).
- Year-over-year, Cash & Equivalents has increased for six consecutive quarters, with growth averaging 25.6% over the last eight quarters.
- 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 $271.24 million (Q1 2026), $321.78 million (Q4 2025) and $188.52 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 40.61 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 2.75 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 193.00 Mn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 1.70 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | - |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 19.30 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 1.39 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | - |
| 10 | Stewart Information Services | 1.75 Bn | 533.81 Mn | 877.17 Mn | 261.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 607.61 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();