Oaktree Acquisition Corp. III Life Sciences (OACC) Operating Expenses (2025 - 2026)
Oaktree Acquisition Corp. III Life Sciences (OACC) reported Operating Expenses of $261,958 for Q2 2026, down 2.9% from $269,810 a year earlier and down 42.6% from the prior quarter.
Oaktree Acquisition Corp. III Life Sciences (OACC) Operating Expenses (2025 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Oaktree Acquisition Corp. III Life Sciences' Operating Expenses came in at $1.2 million; for FY2025, it was $1.2 million, up 239.9% from FY2024.
- By year, Operating Expenses came in at $351,806 in FY2024.
- Five-year quarterly Operating Expenses spans a low of $225,579 in Q3 2025 and a high of $456,538 in Q1 2026.
- Per Business Quant data, the three quarters before Q2 2026 came in at $456,538 (Q1 2026), $255,496 (Q4 2025) and $225,579 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.48 Bn | 85.58 Bn | - | 734.00 Mn |
| 2 | Bank of New York Mellon | 99.71 Bn | 39.09 Bn | - | 3.44 Bn |
| 3 | Cme | 94.57 Bn | 94.57 Bn | - | 599.10 Mn |
| 4 | Intercontinental Exchange | 85.38 Bn | 79.19 Bn | - | 1.28 Bn |
| 5 | Nasdaq | 51.62 Bn | 49.05 Bn | 1.50 Bn | 788.00 Mn |
| 6 | State Street | 48.84 Bn | 48.84 Bn | - | 2.66 Bn |
| 7 | Interactive Brokers | 38.83 Bn | 32.29 Bn | - | 440.00 Mn |
| 8 | Northern Trust | 31.65 Bn | 31.65 Bn | - | 1.64 Bn |
| 9 | Cboe Global Markets | 27.38 Bn | 19.03 Bn | 731.60 Mn | 255.60 Mn |
| 10 | Oaktree Acquisition Corp. III Life Sciences | 323.04 Mn | 323.04 Mn | - | 261,958.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 261,958.00 |
| Mar 31, 2026 | 456,538.00 |
| Dec 31, 2025 | 255,496.00 |
| Sep 30, 2025 | 225,579.00 |
| Jun 30, 2025 | 269,810.00 |
| Mar 31, 2025 | 444,802.00 |
Oaktree Acquisition Corp. III Life Sciences 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=OACC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OACC", "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=OACC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();