Oaktree Specialty Lending (OCSL) Other Operating Expenses (2021 - 2026)
Oaktree Specialty Lending (OCSL) recorded Other Operating Expenses of $1.63 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 17.2% from $1.39 million a year earlier and up 26.3% from the prior quarter.
Oaktree Specialty Lending (OCSL) Other Operating Expenses (2021 - 2026) Analysis & Trends
On a TTM basis, Oaktree Specialty Lending's Other Operating Expenses came in at $5.57 million as of Jun 30, 2026, up 22.6% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $4.93 million, up 5.5% from FY2024.
- Annual Other Operating Expenses has a four-year compound annual growth rate of 3.9% (FY2021 to FY2025).
- Across earlier fiscal years, Other Operating Expenses came in at $4.67 million in FY2024 (-25.2%), $6.24 million in FY2023 (+41.3%), $4.42 million in FY2022 (+4.4%) and $4.23 million in FY2021.
- The fiscal Q3 2026 figure is the highest quarterly Other Operating Expenses since fiscal Q2 2023.
- On a year-over-year basis, Other Operating Expenses has increased for six consecutive quarters, with growth averaging 8.2% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 152.4% in fiscal Q2 2023, against a decline of 41.5% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.29 million (Q2 2026), $1.41 million (Q1 2026) and $1.24 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - |
| 10 | Oaktree Specialty Lending | 1.05 Bn | 796.60 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.63 Mn |
| Mar 31, 2026 | 1.29 Mn |
| Dec 31, 2025 | 1.41 Mn |
| Sep 30, 2025 | 1.24 Mn |
| Jun 30, 2025 | 1.39 Mn |
| Mar 31, 2025 | 1.23 Mn |
| Dec 31, 2024 | 1.07 Mn |
| Sep 30, 2024 | 862,000.00 |
| Jun 30, 2024 | 1.09 Mn |
| Mar 31, 2024 | 1.21 Mn |
| Dec 31, 2023 | 1.50 Mn |
| Sep 30, 2023 | 1.28 Mn |
| Jun 30, 2023 | 1.39 Mn |
| Mar 31, 2023 | 2.08 Mn |
| Dec 31, 2022 | 1.50 Mn |
| Sep 30, 2022 | 1.39 Mn |
| Jun 30, 2022 | 885,000.00 |
| Mar 31, 2022 | 822,000.00 |
| Dec 31, 2021 | 1.32 Mn |
Oaktree Specialty Lending Other Operating Expenses 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=other-operating-expenses&ticker=OCSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=OCSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();