Cme (CME) Other Operating Expenses (2009 - 2026)
Cme (CME) reported Other Operating Expenses of $334.2 million for Q3 2026, up 11.0% from $301 million a year earlier but down 0.9% from the prior quarter.
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Analysis
Cme (CME) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Cme's Other Operating Expenses came in at $1.38 billion, up 8.4% year-over-year; for FY2025, it came in at $1.28 billion, up 3.5% from FY2024.
- Other Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $1.23 billion in FY2024 (+3.8%), $1.19 billion in FY2023 (+6.6%), $1.12 billion in FY2022 (+5.3%) and $1.06 billion in FY2021 (-14.3%).
- Five-year quarterly Other Operating Expenses spans a low of $264.9 million in Q3 2022 and a high of $388 million in Q4 2025.
- Year over year, Other Operating Expenses has now increased in each of the last four quarters, with growth averaging 4.5% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was Q3 2024 (growth of 11.5%); the low point was Q4 2021 (a decline of 14.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $337.4 million (Q2 2026), $320.2 million (Q1 2026) and $388 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 108.60 Bn | 96.94 Bn | - |
| 2 | Bank of New York Mellon | 103.36 Bn | 36.98 Bn | - |
| 3 | Intercontinental Exchange | 97.74 Bn | 90.63 Bn | - |
| 4 | Robinhood Markets | 76.13 Bn | 55.67 Bn | - |
| 5 | Nasdaq | 60.59 Bn | 58.02 Bn | 1.48 Bn |
| 6 | State Street | 47.13 Bn | 47.13 Bn | - |
| 7 | Cboe Global Markets | 36.84 Bn | 27.32 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 35.29 Bn | 11.60 Bn | - |
| 9 | Northern Trust | 32.36 Bn | 32.36 Bn | - |
| 10 | Tradeweb Markets | 26.83 Bn | 18.63 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 62.00 Mn |
| Jun 30, 2026 | 59.90 Mn |
| Mar 31, 2026 | 52.50 Mn |
| Dec 31, 2025 | 85.90 Mn |
| Sep 30, 2025 | 55.10 Mn |
| Jun 30, 2025 | 53.20 Mn |
| Mar 31, 2025 | 54.30 Mn |
| Dec 31, 2024 | 90.40 Mn |
| Sep 30, 2024 | 62.30 Mn |
| Jun 30, 2024 | 58.30 Mn |
| Mar 31, 2024 | 56.60 Mn |
| Dec 31, 2023 | 101.90 Mn |
| Sep 30, 2023 | 56.50 Mn |
| Jun 30, 2023 | 57.30 Mn |
| Mar 31, 2023 | 60.40 Mn |
| Dec 31, 2022 | 95.00 Mn |
| Sep 30, 2022 | 43.90 Mn |
| Jun 30, 2022 | 51.10 Mn |
| Mar 31, 2022 | 51.80 Mn |
| Dec 31, 2021 | 80.90 Mn |
API Access
Cme Other 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=other-operating-expenses&ticker=CME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=CME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();