Sparta Commercial Services (SRCO) Total Liabilities (2011 - 2026)
Sparta Commercial Services (SRCO) posted Total Liabilities of $13.68 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 16.5% from $11.74 million a year earlier and up 1.4% from the prior quarter.
Sparta Commercial Services (SRCO) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Sparta Commercial Services' Total Liabilities came in at $13.49 million, up 18.9% from FY2025.
- Annual Total Liabilities shows a five-year compound annual growth rate of 1.3% (FY2021 to FY2026).
- In prior fiscal years, Sparta Commercial Services' Total Liabilities was $11.35 million in FY2025 (+16.3%), $9.76 million in FY2024 (-4.9%), $10.26 million in FY2023 (-20.8%) and $12.96 million in FY2022 (+2.5%).
- The fiscal Q1 2027 figure stands as the highest quarterly Total Liabilities since fiscal Q3 2023.
- On a year-over-year basis, Total Liabilities has increased in each of the last nine quarters, with growth averaging 12.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q1 2023, with growth of 55.1%; the weakest was fiscal Q1 2024, with a decline of 43.6%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $13.49 million (Q4 2026), $13.18 million (Q3 2026) and $11.92 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Orix | 43.85 Bn | 44.35 Bn | - | 84.49 Bn |
| 2 | Rocket Companies | 43.67 Bn | 29.35 Bn | - | 37.43 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.48 Bn | - | 10.03 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.52 Bn | 25.52 Bn | - | 4,215.85 Bn |
| 5 | Synchrony Financial | 23.24 Bn | -44.73 Bn | - | 105.03 Bn |
| 6 | Affirm Holdings | 22.66 Bn | 16.35 Bn | - | 10.31 Bn |
| 7 | Royal Gold | 20.35 Bn | 19.57 Bn | 390.45 Mn | 1.82 Bn |
| 8 | Annaly Capital Management | 15.27 Bn | 6.37 Bn | - | 126.76 Bn |
| 9 | Ares Capital | 13.74 Bn | 11.17 Bn | - | 16.61 Bn |
| 10 | Sparta Commercial Services | 4.37 Mn | 5.09 Mn | 40,797.00 | 13.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 13.68 Mn |
| Apr 30, 2026 | 13.49 Mn |
| Jan 31, 2026 | 13.18 Mn |
| Oct 31, 2025 | 11.92 Mn |
| Jul 31, 2025 | 11.74 Mn |
| Apr 30, 2025 | 11.35 Mn |
| Jan 31, 2025 | 11.28 Mn |
| Oct 31, 2024 | 10.80 Mn |
| Jul 31, 2024 | 10.45 Mn |
| Apr 30, 2024 | 9.76 Mn |
| Jan 31, 2024 | 10.39 Mn |
| Oct 31, 2023 | 10.56 Mn |
| Jul 31, 2023 | 10.30 Mn |
| Apr 30, 2023 | 10.26 Mn |
| Jan 31, 2023 | 15.02 Mn |
| Oct 31, 2022 | 15.58 Mn |
| Jul 31, 2022 | 18.27 Mn |
| Apr 30, 2022 | 12.96 Mn |
| Jan 31, 2022 | 17.68 Mn |
| Oct 31, 2021 | 16.87 Mn |
Sparta Commercial Services Total Liabilities 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=total-liabilities&ticker=SRCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SRCO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=SRCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();