Blue Owl Technology Finance (OTF) Operating Expenses (2024 - 2026)
Blue Owl Technology Finance's Operating Expenses came in at $26.97 million for Q2 2026, up 45.9% from $18.48 million a year earlier and up 4.1% from the prior quarter.
Blue Owl Technology Finance (OTF) Operating Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Blue Owl Technology Finance reported Operating Expenses of $21.42 million, down 47.4% year-over-year; for FY2025, it was $79.07 million, up 818.8% from FY2024.
- Going back by year, Operating Expenses was $8.61 million in FY2024.
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q3 2024.
- Business Quant data shows OTF's Operating Expenses at $25.9 million (Q1 2026), -$53.81 million (Q4 2025) and $22.35 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | 2.50 Bn |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | 4.66 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | 2.07 Bn |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 1.02 Bn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | 1.33 Bn |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | - |
| 10 | Blue Owl Technology Finance | 4.49 Bn | 4.49 Bn | - | 26.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.97 Mn |
| Mar 31, 2026 | 25.90 Mn |
| Dec 31, 2025 | 24.58 Mn |
| Sep 30, 2025 | 22.35 Mn |
| Jun 30, 2025 | 18.48 Mn |
| Mar 31, 2025 | 13.66 Mn |
| Dec 31, 2024 | 7.93 Mn |
| Sep 30, 2024 | 602,000.00 |
Blue Owl Technology Finance 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=operating-expenses&ticker=OTF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OTF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=OTF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();