Columbus Acquisition (COLA) Selling, General & Administrative (2024 - 2026)
Columbus Acquisition (COLA) reported Selling, General & Administrative of $136,564 for Q2 2026, down 10.1% from $151,899 a year earlier.
Columbus Acquisition (COLA) Selling, General & Administrative (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Columbus Acquisition's Selling, General & Administrative came in at $829,142, up 90.7% year-over-year; for FY2025, it came in at $946,512.
- By year, Selling, General & Administrative came in at $77,094 in FY2024.
- Five-year quarterly Selling, General & Administrative spans a low of $6,839 in Q1 2024 and a high of $408,564 in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 99.92 Bn | 81.02 Bn | - | 199.00 Mn |
| 2 | Bank of New York Mellon | 97.64 Bn | 37.02 Bn | - | - |
| 3 | Cme | 95.24 Bn | 95.24 Bn | - | - |
| 4 | Intercontinental Exchange | 84.98 Bn | 78.79 Bn | - | 63.00 Mn |
| 5 | Nasdaq | 51.52 Bn | 48.95 Bn | 1.50 Bn | 23.00 Mn |
| 6 | State Street | 47.96 Bn | 47.96 Bn | - | - |
| 7 | Interactive Brokers | 38.66 Bn | 32.12 Bn | - | 68.00 Mn |
| 8 | Northern Trust | 30.96 Bn | 30.96 Bn | - | - |
| 9 | Cboe Global Markets | 29.00 Bn | 20.65 Bn | 731.60 Mn | - |
| 10 | Columbus Acquisition | 12.85 Mn | 12.85 Mn | - | 136,564.00 |
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 |
Columbus Acquisition Selling, General & Administrative 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=selling-general-and-administrative&ticker=COLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=COLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();