Stewart Information Services (STC) Receivables - Net (2010 - 2026)
Stewart Information Services' Receivables - Net was $227.67 million in 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 - Net (2010 - 2026) Analysis & Trends
At the end of FY2025, Receivables - Net at Stewart Information Services came in at $190.06 million, up 35.0% from FY2024.
- Receivables - Net has now increased for three consecutive years, with a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- In earlier years, Receivables - Net was $140.76 million in FY2024 (+12.7%), $124.9 million in FY2023 (+6.1%), $117.72 million in FY2022 (-1.4%) and $119.34 million in FY2021 (+35.9%).
- The Q2 2026 figure marks the highest quarterly Receivables - Net in data going back to Q4 2010.
- Compared with a year earlier, Receivables - Net has increased for 11 straight quarters, with growth averaging 24.5% over the last eight quarters.
- The best year-over-year quarter for Receivables - Net over five years was Q3 2021 (growth of 44.2%); the worst was Q3 2023 (a decline of 1.8%).
- Per Business Quant data, STC's Receivables - Net in the three quarters before Q2 2026 was $216.2 million (Q1 2026), $190.06 million (Q4 2025) and $181.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 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 |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 227.67 Mn |
| Mar 31, 2026 | 216.20 Mn |
| Dec 31, 2025 | 190.06 Mn |
| Sep 30, 2025 | 181.73 Mn |
| Jun 30, 2025 | 166.07 Mn |
| Mar 31, 2025 | 157.18 Mn |
| Dec 31, 2024 | 140.76 Mn |
| Sep 30, 2024 | 152.34 Mn |
| Jun 30, 2024 | 149.38 Mn |
| Mar 31, 2024 | 142.62 Mn |
| Dec 31, 2023 | 124.90 Mn |
| Sep 30, 2023 | 114.71 Mn |
| Jun 30, 2023 | 129.09 Mn |
| Mar 31, 2023 | 130.87 Mn |
| Dec 31, 2022 | 117.72 Mn |
| Sep 30, 2022 | 116.86 Mn |
| Jun 30, 2022 | 123.08 Mn |
| Mar 31, 2022 | 115.79 Mn |
| Dec 31, 2021 | 119.34 Mn |
| Sep 30, 2021 | 114.31 Mn |
API Access
Stewart Information Services Receivables - Net 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-net&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();