Stewart Information Services (STC) Accounts Payables (2010 - 2026)
Stewart Information Services (STC) recorded Accounts Payables of $270.45 million in Q2 2026, up 32.6% from $203.9 million a year earlier and up 7.3% from the prior quarter.
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Analysis
Stewart Information Services (STC) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Stewart Information Services reported Accounts Payables of $255.85 million, up 19.2% from FY2024.
- Annual Accounts Payables has a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- Across earlier years, Accounts Payables came in at $214.58 million in FY2024 (+12.9%), $190.05 million in FY2023 (-3.3%), $196.54 million in FY2022 (-31.6%) and $287.33 million in FY2021 (+27.6%).
- The Q2 2026 figure is the highest quarterly Accounts Payables since Q4 2021.
- On a year-over-year basis, Accounts Payables has increased for eight consecutive quarters, with growth averaging 20.6% over the last eight quarters.
- Peak year-over-year performance for Accounts Payables in the last five years was growth of 46.0% in Q3 2021, against a decline of 31.6% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $251.95 million (Q1 2026), $255.85 million (Q4 2025) and $234.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 61.85 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 10.07 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 9.18 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 4.05 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | - |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | - |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 2.27 Bn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | - |
| 10 | Stewart Information Services | 1.73 Bn | 508.24 Mn | 877.17 Mn | 270.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 270.45 Mn |
| Mar 31, 2026 | 251.95 Mn |
| Dec 31, 2025 | 255.85 Mn |
| Sep 30, 2025 | 234.47 Mn |
| Jun 30, 2025 | 203.90 Mn |
| Mar 31, 2025 | 198.55 Mn |
| Dec 31, 2024 | 214.58 Mn |
| Sep 30, 2024 | 196.67 Mn |
| Jun 30, 2024 | 165.38 Mn |
| Mar 31, 2024 | 166.38 Mn |
| Dec 31, 2023 | 190.05 Mn |
| Sep 30, 2023 | 177.18 Mn |
| Jun 30, 2023 | 167.56 Mn |
| Mar 31, 2023 | 163.00 Mn |
| Dec 31, 2022 | 196.54 Mn |
| Sep 30, 2022 | 184.07 Mn |
| Jun 30, 2022 | 200.29 Mn |
| Mar 31, 2022 | 233.14 Mn |
| Dec 31, 2021 | 287.33 Mn |
| Sep 30, 2021 | 209.14 Mn |
API Access
Stewart Information Services Accounts Payables 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=accounts-payables&ticker=STC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=STC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();