Blue Owl Capital (OWL) Operating Expenses (2020 - 2026)
Blue Owl Capital (OWL) reported Operating Expenses of $636.64 million for Q2 2026, up 5.4% from $603.82 million a year earlier but down 1.2% from the prior quarter.
Blue Owl Capital (OWL) Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Blue Owl Capital's Operating Expenses came in at $2.48 billion, up 14.8% year-over-year; for FY2025, it came in at $2.41 billion, up 42.9% from FY2024.
- Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 50.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.69 billion in FY2024 (+19.4%), $1.41 billion in FY2023 (+3.0%), $1.37 billion in FY2022 (-21.6%) and $1.75 billion in FY2021 (+467.6%).
- Five-year quarterly Operating Expenses spans a low of $171.54 million in Q3 2021 and a high of $644.32 million in Q1 2026.
- Year over year, Operating Expenses has now increased in each of the last 11 quarters, with growth averaging 32.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q1 2022 (growth of 375.3%); the low point was Q2 2022 (a decline of 73.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $644.32 million (Q1 2026), $588.6 million (Q4 2025) and $615.31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.03 Bn | 110.39 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 134.08 Bn | -423.92 Bn | - | 149.76 Mn |
| 3 | Blackstone | 84.38 Bn | 79.31 Bn | - | 2.38 Bn |
| 4 | Brookfield | 81.99 Bn | -83.40 Bn | 4.47 Bn | 14.94 Bn |
| 5 | Kkr | 81.98 Bn | 48.46 Bn | - | 5.41 Bn |
| 6 | Brookfield Asset Management | 71.20 Bn | 67.45 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 66.86 Bn | 4.54 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 60.68 Bn | 56.11 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 45.90 Bn | 43.27 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Blue Owl Capital | 14.20 Bn | 17.13 Bn | - | 636.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 636.64 Mn |
| Mar 31, 2026 | 644.32 Mn |
| Dec 31, 2025 | 588.60 Mn |
| Sep 30, 2025 | 615.31 Mn |
| Jun 30, 2025 | 603.82 Mn |
| Mar 31, 2025 | 606.19 Mn |
| Dec 31, 2024 | 492.53 Mn |
| Sep 30, 2024 | 461.11 Mn |
| Jun 30, 2024 | 377.30 Mn |
| Mar 31, 2024 | 357.73 Mn |
| Dec 31, 2023 | 377.28 Mn |
| Sep 30, 2023 | 336.19 Mn |
| Jun 30, 2023 | 375.68 Mn |
| Mar 31, 2023 | 324.64 Mn |
| Dec 31, 2022 | 367.55 Mn |
| Sep 30, 2022 | 368.55 Mn |
| Jun 30, 2022 | 337.39 Mn |
| Mar 31, 2022 | 298.71 Mn |
| Dec 31, 2021 | 222.34 Mn |
| Sep 30, 2021 | 171.54 Mn |
Blue Owl Capital 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=OWL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OWL", "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=OWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();