Cme (CME) Net Income (2009 - 2026)
Cme (CME) recorded Net Income of $1.04 billion in Q2 2026, up 1.6% from $1.03 billion a year earlier but down 9.7% from the prior quarter.
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Analysis
Cme (CME) Net Income (2009 - 2026) Analysis & Trends
On a TTM basis, Cme's Net Income came in at $4.29 billion as of Jun 30, 2026, up 13.8% year-over-year; for FY2025, it was $4.07 billion, up 15.5% from FY2024.
- Annual Net Income has increased for five straight years, with a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- Across earlier years, Net Income came in at $3.53 billion in FY2024 (+9.3%), $3.23 billion in FY2023 (+19.9%), $2.69 billion in FY2022 (+2.1%) and $2.64 billion in FY2021 (+25.2%).
- Quarterly Net Income has ranged from $625.2 million in Q4 2021 to $1.18 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Net Income has increased for three consecutive quarters, with growth averaging 14.2% over the last eight quarters.
- Peak year-over-year performance for Net Income in the last five years was growth of 125.1% in Q3 2021, against a decline of 26.6% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.15 billion (Q1 2026), $1.18 billion (Q4 2025) and $908 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | 573.00 Mn |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | 1.79 Bn |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | 1.04 Bn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | 975.00 Mn |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | 507.00 Mn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | 1.08 Bn |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | 1.34 Bn |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | 792.20 Mn |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | 353.10 Mn |
| 10 | LPL Financial Holdings | 24.08 Bn | 19.40 Bn | - | 379.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.04 Bn |
| Mar 31, 2026 | 1.15 Bn |
| Dec 31, 2025 | 1.18 Bn |
| Sep 30, 2025 | 908.00 Mn |
| Jun 30, 2025 | 1.03 Bn |
| Mar 31, 2025 | 956.20 Mn |
| Dec 31, 2024 | 874.60 Mn |
| Sep 30, 2024 | 912.80 Mn |
| Jun 30, 2024 | 883.20 Mn |
| Mar 31, 2024 | 855.20 Mn |
| Dec 31, 2023 | 814.60 Mn |
| Sep 30, 2023 | 750.20 Mn |
| Jun 30, 2023 | 777.60 Mn |
| Mar 31, 2023 | 883.80 Mn |
| Dec 31, 2022 | 637.90 Mn |
| Sep 30, 2022 | 679.60 Mn |
| Jun 30, 2022 | 662.50 Mn |
| Mar 31, 2022 | 711.00 Mn |
| Dec 31, 2021 | 625.20 Mn |
| Sep 30, 2021 | 926.30 Mn |
API Access
Cme Net 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=net-income&ticker=CME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-income&ticker=CME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();