Columbus Acquisition (COLA) Operating Expenses (2024 - 2026)
Columbus Acquisition's Operating Expenses came in at $136,564 for Q2 2026, down 10.1% from $151,899 a year earlier.
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Analysis
Columbus Acquisition (COLA) Operating Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Columbus Acquisition reported Operating Expenses of $829,142, up 90.7% year-over-year; for FY2025, it was $946,512.
- Going back by year, Operating Expenses was $77,094 in FY2024.
- The five-year range for quarterly Operating Expenses is $6,839 (Q1 2024) to $408,564 (Q4 2025).
Peer Set
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 | Columbus Acquisition | 47.06 Mn | 47.06 Mn | - | 136,564.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 136,564.00 |
| Dec 31, 2025 | 408,564.00 |
| Sep 30, 2025 | 132,115.00 |
| Jun 30, 2025 | 151,899.00 |
| Mar 31, 2025 | 253,934.00 |
| Dec 31, 2024 | 16,691.00 |
| Sep 30, 2024 | 12,364.00 |
| Jun 30, 2024 | 41,200.00 |
| Mar 31, 2024 | 6,839.00 |
API Access
Columbus 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=COLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "COLA", "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=COLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();