Cme (CME) Current Taxes (2009)
Cme's Current Taxes was $15.2 million in Q4 2009.
Analysis
Cme (CME) Current Taxes (2009) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 108.45 Bn | 96.78 Bn | - | - |
| 2 | Bank of New York Mellon | 103.42 Bn | 37.04 Bn | - | - |
| 3 | Intercontinental Exchange | 97.62 Bn | 90.52 Bn | - | - |
| 4 | Robinhood Markets | 76.31 Bn | 55.85 Bn | - | - |
| 5 | Nasdaq | 60.49 Bn | 57.93 Bn | 1.48 Bn | - |
| 6 | State Street | 47.20 Bn | 47.20 Bn | - | - |
| 7 | Cboe Global Markets | 36.71 Bn | 27.19 Bn | 712.20 Mn | 800,000.00 |
| 8 | Interactive Brokers | 35.41 Bn | 11.72 Bn | - | - |
| 9 | Northern Trust | 32.29 Bn | 32.29 Bn | - | - |
| 10 | Tradeweb Markets | 26.79 Bn | 18.59 Bn | - | - |
API Access
Cme Current Taxes 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=current-taxes&ticker=CME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-taxes", "ticker": "CME", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=current-taxes&ticker=CME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();