OFS Capital (OFS) Total Liabilities (2011 - 2026)
OFS Capital (OFS) posted Total Liabilities of $162.08 million for Q3 2026, down 33.0% from $241.84 million a year earlier and down 15.5% from the prior quarter.
OFS Capital (OFS) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, OFS Capital's Total Liabilities came in at $223.52 million, down 12.7% from FY2024.
- Annual Total Liabilities has declined for four consecutive years, with a four-year compound annual growth rate of -11.6% (FY2021 to FY2025).
- In prior years, OFS Capital's Total Liabilities was $255.9 million in FY2024 (-16.9%), $307.81 million in FY2023 (-9.5%), $340.29 million in FY2022 (-6.8%) and $365.3 million in FY2021.
- The Q3 2026 figure stands as the lowest quarterly Total Liabilities in data going back to Q4 2021.
- On a year-over-year basis, Total Liabilities has declined in each of the last 13 quarters, with an average decline of 14.8% over the last eight quarters.
- Across the past five years, year-over-year decline in Total Liabilities ran from 1.8% in Q2 2025 to 33.0% in Q3 2026.
- According to Business Quant data, Total Liabilities for the three prior quarters was $191.85 million (Q2 2026), $206.36 million (Q1 2026) and $223.52 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 41.00 Bn | 29.82 Bn | - | 35.84 Bn |
| 2 | Royalty Pharma | 39.88 Bn | 40.21 Bn | - | 9.67 Bn |
| 3 | Orix | 36.75 Bn | 7.39 Bn | 13.83 Bn | 66.29 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.40 Bn | -16,108.71 Bn | - | 4,198.25 Bn |
| 5 | Royal Gold | 23.20 Bn | 22.41 Bn | 402.46 Mn | 1.59 Bn |
| 6 | Affirm Holdings | 22.35 Bn | 15.40 Bn | - | 10.73 Bn |
| 7 | Synchrony Financial | 22.29 Bn | -45.34 Bn | - | 105.92 Bn |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - | 130.25 Bn |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - | 16.65 Bn |
| 10 | OFS Capital | 48.10 Mn | 34.37 Mn | - | 162.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 162.08 Mn |
| Jun 30, 2026 | 191.85 Mn |
| Mar 31, 2026 | 206.36 Mn |
| Dec 31, 2025 | 223.52 Mn |
| Sep 30, 2025 | 241.84 Mn |
| Jun 30, 2025 | 249.25 Mn |
| Mar 31, 2025 | 251.58 Mn |
| Dec 31, 2024 | 255.90 Mn |
| Sep 30, 2024 | 267.23 Mn |
| Jun 30, 2024 | 253.70 Mn |
| Mar 31, 2024 | 262.07 Mn |
| Dec 31, 2023 | 307.81 Mn |
| Sep 30, 2023 | 306.31 Mn |
| Jun 30, 2023 | 332.48 Mn |
| Mar 31, 2023 | 335.68 Mn |
| Dec 31, 2022 | 340.29 Mn |
| Sep 30, 2022 | 356.16 Mn |
| Jun 30, 2022 | 371.61 Mn |
| Mar 31, 2022 | 363.35 Mn |
| Dec 31, 2021 | 365.30 Mn |
OFS Capital 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=OFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "OFS", "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=OFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();