Oaktree Specialty Lending (OCSL) Total Non-Current Liabilities (2022 - 2026)
Oaktree Specialty Lending's Total Non-Current Liabilities was $1.47 billion in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.2% from $1.47 billion a year earlier and down 2.4% from the prior quarter.
Oaktree Specialty Lending (OCSL) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Total Non-Current Liabilities at Oaktree Specialty Lending came in at $1.53 billion, down 9.8% from FY2024.
- Total Non-Current Liabilities shows a three-year compound annual growth rate of 3.9% (FY2022 to FY2025).
- In earlier fiscal years, Total Non-Current Liabilities was $1.69 billion in FY2024 (+2.2%), $1.65 billion in FY2023 (+21.8%) and $1.36 billion in FY2022.
- The fiscal Q3 2026 figure marks the lowest quarterly Total Non-Current Liabilities since fiscal Q4 2022.
- Compared with a year earlier, Total Non-Current Liabilities was higher in two of the last eight quarters, with an average decline of 5.4%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q4 2023 (growth of 21.8%); the worst was fiscal Q3 2025 (a decline of 17.9%).
- Per Business Quant data, OCSL's Total Non-Current Liabilities in the three fiscal quarters before Q3 2026 was $1.5 billion (Q2 2026), $1.65 billion (Q1 2026) and $1.53 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | - |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | 77.86 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | 9.32 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | 4,200.68 Bn |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 10.25 Bn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | 105.01 Bn |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 1.76 Bn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 126.51 Bn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | 16.51 Bn |
| 10 | Oaktree Specialty Lending | 1.05 Bn | 796.60 Mn | - | 1.47 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.47 Bn |
| Mar 31, 2026 | 1.50 Bn |
| Dec 31, 2025 | 1.65 Bn |
| Sep 30, 2025 | 1.53 Bn |
| Jun 30, 2025 | 1.47 Bn |
| Mar 31, 2025 | 1.58 Bn |
| Dec 31, 2024 | 1.61 Bn |
| Sep 30, 2024 | 1.69 Bn |
| Jun 30, 2024 | 1.79 Bn |
| Mar 31, 2024 | 1.74 Bn |
| Dec 31, 2023 | 1.72 Bn |
| Sep 30, 2023 | 1.65 Bn |
| Jun 30, 2023 | 1.79 Bn |
| Mar 31, 2023 | 1.77 Bn |
| Dec 31, 2022 | 1.52 Bn |
| Sep 30, 2022 | 1.36 Bn |
Oaktree Specialty Lending Total Non-Current 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-non-current-liabilities&ticker=OCSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "OCSL", "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-non-current-liabilities&ticker=OCSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();