Stewart Information Services (STC) Change in Receivables (2010 - 2026)
Stewart Information Services' Change in Receivables came in at $14.47 million for Q2 2026, up 134.0% from $6.18 million a year earlier but down 42.3% from the prior quarter.
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Analysis
Stewart Information Services (STC) Change in Receivables (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Stewart Information Services reported Change in Receivables of $32.98 million, up 131.0% year-over-year; for FY2025, it came in at $14.84 million, up 23.1% from FY2024.
- Change in Receivables carries a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- Going back by year, Change in Receivables was $12.05 million in FY2024 (+125.1%), $5.36 million in FY2023, -$10.15 million in FY2022 and $18.82 million in FY2021 (+185.3%).
- The five-year range for quarterly Change in Receivables is -$13.7 million (Q3 2023) to $25.09 million (Q1 2026).
- Year-over-year, Change in Receivables increased in three of the last five quarters, with growth averaging 34.5%.
- Business Quant data shows STC's Change in Receivables at $25.09 million (Q1 2026), -$8.68 million (Q4 2025) and $2.12 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 2.23 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 1.98 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | -508.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 581.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 961.00 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | - |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 275.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 80.00 Mn |
| 10 | Stewart Information Services | 1.51 Bn | 292.96 Mn | 877.17 Mn | 14.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.47 Mn |
| Mar 31, 2026 | 25.09 Mn |
| Dec 31, 2025 | -8.68 Mn |
| Sep 30, 2025 | 2.12 Mn |
| Jun 30, 2025 | 6.18 Mn |
| Mar 31, 2025 | 15.23 Mn |
| Dec 31, 2024 | -10.74 Mn |
| Sep 30, 2024 | 3.61 Mn |
| Jun 30, 2024 | 6.51 Mn |
| Mar 31, 2024 | 12.67 Mn |
| Dec 31, 2023 | 12.36 Mn |
| Sep 30, 2023 | -13.70 Mn |
| Jun 30, 2023 | -7.03 Mn |
| Mar 31, 2023 | 13.72 Mn |
| Dec 31, 2022 | -633,000.00 |
| Sep 30, 2022 | -6.61 Mn |
| Jun 30, 2022 | 3.32 Mn |
| Mar 31, 2022 | -6.23 Mn |
| Dec 31, 2021 | -1.95 Mn |
| Sep 30, 2021 | -1.60 Mn |
API Access
Stewart Information Services Change in 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=change-in-receivables&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();