Cohen Circle Acquisition (CCII) Operating Expenses (2025 - 2026)
Cohen Circle Acquisition's Operating Expenses came in at $324,369 for Q2 2026, up 849.9% from $34,148 a year earlier but down 18.9% from the prior quarter.
Cohen Circle Acquisition (CCII) Operating Expenses (2025 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cohen Circle Acquisition reported Operating Expenses of $1.38 million; for FY2025, it came in at $694,814.
- Going back by year, Operating Expenses was $15,824 in FY2024.
- The five-year range for quarterly Operating Expenses is $34,148 (Q2 2025) to $399,870 (Q1 2026).
- Business Quant data shows CCII's Operating Expenses at $399,870 (Q1 2026), $349,663 (Q4 2025) and $305,583 (Q3 2025) in the three quarters before Q2 2026.
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 | Cohen Circle Acquisition | 357.69 Mn | 357.69 Mn | - | 324,369.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 324,369.00 |
| Mar 31, 2026 | 399,870.00 |
| Dec 31, 2025 | 349,663.00 |
| Sep 30, 2025 | 305,583.00 |
| Jun 30, 2025 | 34,148.00 |
Cohen Circle Acquisition 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=CCII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CCII", "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=CCII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();