Cme (CME) Operating Expenses (2009 - 2026)
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Analysis
Cme (CME) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - | 595.90 Mn |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - | 3.49 Bn |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - | 1.36 Bn |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - | 739.00 Mn |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn | 749.00 Mn |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - | 2.62 Bn |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn | 249.40 Mn |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - | 418.00 Mn |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | 1.49 Bn |
| 10 | Tradeweb Markets | 26.89 Bn | 18.69 Bn | - | 331.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 595.90 Mn |
| Jun 30, 2026 | 599.10 Mn |
| Mar 31, 2026 | 570.40 Mn |
| Dec 31, 2025 | 629.10 Mn |
| Sep 30, 2025 | 565.00 Mn |
| Jun 30, 2025 | 562.70 Mn |
| Mar 31, 2025 | 534.30 Mn |
| Dec 31, 2024 | 578.20 Mn |
| Sep 30, 2024 | 560.20 Mn |
| Jun 30, 2024 | 531.90 Mn |
| Mar 31, 2024 | 528.30 Mn |
| Dec 31, 2023 | 576.10 Mn |
| Sep 30, 2023 | 517.60 Mn |
| Jun 30, 2023 | 521.60 Mn |
| Mar 31, 2023 | 527.90 Mn |
| Dec 31, 2022 | 539.50 Mn |
| Sep 30, 2022 | 489.00 Mn |
| Jun 30, 2022 | 487.50 Mn |
| Mar 31, 2022 | 487.50 Mn |
| Dec 31, 2021 | 515.60 Mn |
API Access
Cme 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=CME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();