Cme (CME) Operating Income (2009 - 2026)
Cme (CME) posted Operating Income of $1.11 billion for Q2 2026, down 2.0% from $1.13 billion a year earlier and down 15.5% from the prior quarter.
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Analysis
Cme (CME) Operating Income (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Income at Cme was $4.41 billion, up 4.8% year-over-year; for FY2025, it was $4.23 billion, up 7.6% from FY2024.
- Annual Operating Income has increased for six consecutive years, with a five-year compound annual growth rate of 9.9% (FY2020 to FY2025).
- In prior years, Cme's Operating Income was $3.93 billion in FY2024 (+14.4%), $3.44 billion in FY2023 (+13.9%), $3.02 billion in FY2022 (+14.0%) and $2.65 billion in FY2021 (+0.3%).
- Quarterly Operating Income has run from a low of $613.7 million in Q3 2021 to a high of $1.31 billion in Q1 2026 over five years.
- On a year-over-year basis, Operating Income increased in six of the last eight quarters, with growth averaging 10.2%.
- The strongest year-over-year quarter for Operating Income in the past five years was Q4 2023, with growth of 29.2%; the weakest was Q3 2025, with a decline of 5.0%.
- According to Business Quant data, Operating Income for the three prior quarters was $1.31 billion (Q1 2026), $1.02 billion (Q4 2025) and $972.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | - |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | - |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | 1.11 Bn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | 1.39 Bn |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | 712.00 Mn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | 476.00 Mn |
| 10 | LPL Financial Holdings | 24.08 Bn | 19.40 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.11 Bn |
| Mar 31, 2026 | 1.31 Bn |
| Dec 31, 2025 | 1.02 Bn |
| Sep 30, 2025 | 972.60 Mn |
| Jun 30, 2025 | 1.13 Bn |
| Mar 31, 2025 | 1.11 Bn |
| Dec 31, 2024 | 947.10 Mn |
| Sep 30, 2024 | 1.02 Bn |
| Jun 30, 2024 | 1.00 Bn |
| Mar 31, 2024 | 959.60 Mn |
| Dec 31, 2023 | 863.20 Mn |
| Sep 30, 2023 | 820.20 Mn |
| Jun 30, 2023 | 838.60 Mn |
| Mar 31, 2023 | 913.70 Mn |
| Dec 31, 2022 | 668.30 Mn |
| Sep 30, 2022 | 738.80 Mn |
| Jun 30, 2022 | 749.70 Mn |
| Mar 31, 2022 | 859.10 Mn |
| Dec 31, 2021 | 631.70 Mn |
| Sep 30, 2021 | 613.70 Mn |
API Access
Cme Operating Income 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-income&ticker=CME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=CME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();