Stewart Information Services (STC) Receivables (2010 - 2026)
Stewart Information Services (STC) reported Receivables of $227.67 million for Q2 2026, up 37.1% from $166.07 million a year earlier and up 5.3% from the prior quarter.
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Analysis
Stewart Information Services (STC) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Stewart Information Services posted Receivables of $235.6 million, up 63.0% from FY2024.
- Receivables has a five-year compound annual growth rate of 21.2% (FY2020 to FY2025).
- By year, Receivables came in at $144.54 million in FY2024 (-17.4%), $175.09 million in FY2023 (+5.0%), $166.78 million in FY2022 (+18.4%) and $140.86 million in FY2021 (+56.4%).
- Five-year quarterly Receivables spans a low of $114.31 million in Q3 2021 and a high of $235.6 million in Q4 2025.
- Year over year, Receivables has now increased in each of the last six quarters, with growth averaging 24.2% over the last eight quarters.
- The high point for year-over-year Receivables in five years was Q4 2025 (growth of 63.0%); the low point was Q4 2024 (a decline of 17.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $216.2 million (Q1 2026), $235.6 million (Q4 2025) and $181.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 54.42 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 19.07 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 17.11 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 8.94 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 12.38 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | - |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 50.64 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 8.76 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 11.86 Bn |
| 10 | Stewart Information Services | 1.75 Bn | 533.81 Mn | 877.17 Mn | 227.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 227.67 Mn |
| Mar 31, 2026 | 216.20 Mn |
| Dec 31, 2025 | 235.60 Mn |
| Sep 30, 2025 | 181.73 Mn |
| Jun 30, 2025 | 166.07 Mn |
| Mar 31, 2025 | 157.18 Mn |
| Dec 31, 2024 | 144.54 Mn |
| Sep 30, 2024 | 152.34 Mn |
| Jun 30, 2024 | 149.38 Mn |
| Mar 31, 2024 | 142.62 Mn |
| Dec 31, 2023 | 175.09 Mn |
| Sep 30, 2023 | 114.71 Mn |
| Jun 30, 2023 | 129.09 Mn |
| Mar 31, 2023 | 130.87 Mn |
| Dec 31, 2022 | 166.78 Mn |
| Sep 30, 2022 | 116.86 Mn |
| Jun 30, 2022 | 123.08 Mn |
| Mar 31, 2022 | 115.79 Mn |
| Dec 31, 2021 | 140.86 Mn |
| Sep 30, 2021 | 114.31 Mn |
API Access
Stewart Information Services Receivables 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=receivables&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();