Cme (CME) Accumulated Expenses (2009 - 2010)
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Analysis
Cme (CME) Accumulated Expenses (2009 - 2010) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 110.43 Bn | 98.52 Bn | - |
| 2 | Intercontinental Exchange | 92.22 Bn | 85.96 Bn | - |
| 3 | Robinhood Markets | 86.78 Bn | 67.81 Bn | - |
| 4 | Nasdaq | 58.09 Bn | 55.52 Bn | 1.50 Bn |
| 5 | Interactive Brokers | 36.85 Bn | 13.96 Bn | - |
| 6 | Cboe Global Markets | 34.46 Bn | 26.11 Bn | 731.60 Mn |
| 7 | Tradeweb Markets | 25.89 Bn | 17.90 Bn | - |
| 8 | LPL Financial Holdings | 25.45 Bn | 20.77 Bn | - |
| 9 | Circle Internet | 21.46 Bn | 15.33 Bn | 288.85 Mn |
| 10 | Xp | 15.46 Bn | -6.37 Bn | 105.39 Mn |
API Access
Cme Accumulated 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=accumulated-expenses&ticker=CME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();