Cme (CME) EV to EBITDA (2009 - 2026)
Cme's EV to EBITDA was 15.88 in Q2 2026, down 24.8% from 21.11 a year earlier and down 26.2% from the prior quarter.
Cme (CME) EV to EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cme's EV to EBITDA was 13.90 through Jun 30, 2026, down 29.1% year-over-year; for FY2025, it was 20.50, up 8.7% from FY2024.
- In earlier years, EV to EBITDA was 18.86 in FY2024 (-1.6%), 19.17 in FY2023 (+12.6%), 17.03 in FY2022 (-34.6%) and 26.06 in FY2021 (+27.3%).
- The Q2 2026 figure marks the lowest quarterly EV to EBITDA since Q1 2017.
- Compared with a year earlier, EV to EBITDA was higher in four of the last six quarters, with growth averaging 2.8%.
- The best year-over-year quarter for EV to EBITDA over five years was Q3 2021 (growth of 24.0%); the worst was Q1 2023 (a decline of 27.5%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn |
| 10 | LPL Financial Holdings | 24.62 Bn | 19.94 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.88 |
| Mar 31, 2026 | 21.51 |
| Sep 30, 2025 | 20.73 |
| Jun 30, 2025 | 21.11 |
| Mar 31, 2025 | 21.20 |
| Sep 30, 2024 | 18.55 |
| Jun 30, 2024 | 17.33 |
| Mar 31, 2024 | 19.52 |
| Sep 30, 2023 | 18.95 |
| Jun 30, 2023 | 17.93 |
| Mar 31, 2023 | 18.52 |
| Sep 30, 2022 | 18.43 |
| Jun 30, 2022 | 21.84 |
| Mar 31, 2022 | 25.54 |
| Sep 30, 2021 | 22.99 |
| Jun 30, 2021 | 25.11 |
| Mar 31, 2021 | 21.93 |
| Sep 30, 2020 | 18.54 |
| Jun 30, 2020 | 17.08 |
| Mar 31, 2020 | 17.98 |
Cme EV to EBITDA 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=ev-to-ebitda&ticker=CME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=CME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();