Columbus Acquisition (COLA) Change in Accured Expenses (2024 - 2025)
Columbus Acquisition's Change in Accured Expenses came in at $123,959 for Q4 2025, up 341.8% from the prior quarter.
Powered by 
Analysis
Columbus Acquisition (COLA) Change in Accured Expenses (2024 - 2025) Analysis & Trends
For FY2025, Columbus Acquisition's Change in Accured Expenses was $227,793.
- Going back by year, Change in Accured Expenses was $2,416 in FY2024.
- Business Quant data shows COLA's Change in Accured Expenses at $28,058 (Q3 2025), $32,121 (Q2 2025) and $43,655 (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 67.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | -70.30 Mn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | -77.00 Mn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 36.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 364.00 Mn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | -55.70 Mn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 69.70 Mn |
| 10 | Columbus Acquisition | 12.85 Mn | 12.85 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 123,959.00 |
| Sep 30, 2025 | 28,058.00 |
| Jun 30, 2025 | 32,121.00 |
| Mar 31, 2025 | 43,655.00 |
| Mar 31, 2024 | 4,421.00 |
API Access
Columbus Acquisition Change in Accured 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=change-in-accured-expenses&ticker=COLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=COLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();