BRBI BR Partners (BRBI) Operating Expenses (2024 - 2026)
BRBI BR Partners (BRBI) posted Operating Expenses of -$17.45 million for Q2 2026, compared with -$13.32 million a year earlier.
BRBI BR Partners (BRBI) Operating Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at BRBI BR Partners was -$62.45 million; for FY2025, it came in at -$53.51 million.
- In prior years, BRBI BR Partners' Operating Expenses was -$63.78 million in FY2024, -$47.21 million in FY2023 and -$34.95 million in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses in data going back to Q2 2024.
- According to Business Quant data, Operating Expenses for the three prior quarters was -$17.3 million (Q1 2026), -$15.04 million (Q4 2025) and -$12.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - | 595.90 Mn |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - | 3.49 Bn |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - | 1.36 Bn |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - | 739.00 Mn |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn | 749.00 Mn |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - | 2.62 Bn |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn | 249.40 Mn |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - | 418.00 Mn |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | 1.49 Bn |
| 10 | BRBI BR Partners | 2.54 Bn | 1.91 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.92 Mn |
| Jun 30, 2026 | 17.45 Mn |
| Mar 31, 2026 | 17.30 Mn |
| Dec 31, 2025 | 15.05 Mn |
| Sep 30, 2025 | 12.65 Mn |
| Jun 30, 2025 | 13.32 Mn |
| Mar 31, 2025 | 12.50 Mn |
| Dec 31, 2024 | 16.73 Mn |
| Sep 30, 2024 | 16.65 Mn |
| Jun 30, 2024 | 16.11 Mn |
BRBI BR Partners 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=BRBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BRBI", "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=BRBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();