Cme (CME) Non Operating Income (2009 - 2026)
Cme (CME) posted Non Operating Income of $220.6 million for Q2 2026, up 9.8% from $201 million a year earlier and up 9.6% from the prior quarter.
Cme (CME) Non Operating Income (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Income at Cme was $1.19 billion, up 85.2% year-over-year; for FY2025, it came in at $1.1 billion, up 80.5% from FY2024.
- Annual Non Operating Income shows a five-year compound annual growth rate of 67.0% (FY2020 to FY2025).
- In prior years, Cme's Non Operating Income was $609.9 million in FY2024 (-15.0%), $717.9 million in FY2023 (+51.3%), $474.4 million in FY2022 (-34.9%) and $728.4 million in FY2021 (+760.0%).
- Quarterly Non Operating Income has run from a low of $57.2 million in Q1 2022 to a high of $558.8 million in Q4 2025 over five years.
- On a year-over-year basis, Non Operating Income has increased in each of the last five quarters, with growth averaging 48.5% over the last eight quarters.
- The strongest year-over-year quarter for Non Operating Income in the past five years was Q4 2021, with growth of 738.0%; the weakest was Q3 2022, with a decline of 70.7%.
- According to Business Quant data, Non Operating Income for the three prior quarters was $201.2 million (Q1 2026), $558.8 million (Q4 2025) and $204.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non 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 | - | 220.60 Mn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | -104.00 Mn |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | - |
| 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 | - |
| 10 | LPL Financial Holdings | 24.08 Bn | 19.40 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 220.60 Mn |
| Mar 31, 2026 | 201.20 Mn |
| Dec 31, 2025 | 558.80 Mn |
| Sep 30, 2025 | 204.40 Mn |
| Jun 30, 2025 | 201.00 Mn |
| Mar 31, 2025 | 136.80 Mn |
| Dec 31, 2024 | 149.50 Mn |
| Sep 30, 2024 | 152.70 Mn |
| Jun 30, 2024 | 153.90 Mn |
| Mar 31, 2024 | 153.80 Mn |
| Dec 31, 2023 | 142.80 Mn |
| Sep 30, 2023 | 154.10 Mn |
| Jun 30, 2023 | 177.80 Mn |
| Mar 31, 2023 | 243.20 Mn |
| Dec 31, 2022 | 159.00 Mn |
| Sep 30, 2022 | 141.20 Mn |
| Jun 30, 2022 | 117.00 Mn |
| Mar 31, 2022 | 57.20 Mn |
| Dec 31, 2021 | 167.60 Mn |
| Sep 30, 2021 | 482.20 Mn |
Cme Non 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=non-operating-income&ticker=CME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-operating-income&ticker=CME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();