Cme (CME) Operating Expenses (2009 - 2026)
Cme (CME) recorded Operating Expenses of $599.1 million in Q2 2026, up 6.5% from $562.7 million a year earlier and up 5.0% from the prior quarter.
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Analysis
Cme (CME) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Cme's Operating Expenses came in at $2.36 billion as of Jun 30, 2026, up 5.7% year-over-year; for FY2025, it was $2.29 billion, up 4.2% from FY2024.
- Annual Operating Expenses has increased for three straight years, with a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $2.2 billion in FY2024 (+2.6%), $2.14 billion in FY2023 (+7.0%), $2 billion in FY2022 (-2.0%) and $2.04 billion in FY2021 (-9.0%).
- Quarterly Operating Expenses has ranged from $487.5 million in Q1 2022 to $629.1 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for 15 consecutive quarters, with growth averaging 4.8% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 8.8% in Q4 2025, against a decline of 11.6% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $570.4 million (Q1 2026), $629.1 million (Q4 2025) and $565 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | 734.00 Mn |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | 3.44 Bn |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | 599.10 Mn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | 1.28 Bn |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | 788.00 Mn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | 2.66 Bn |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | 440.00 Mn |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | 1.64 Bn |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | 255.60 Mn |
| 10 | LPL Financial Holdings | 24.08 Bn | 19.40 Bn | - | 4.67 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 496.20 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();