Cme (CME) Cash from Operations (2010 - 2026)
Cme's Cash from Operations came in at $1.09 billion for Q3 2026, up 12.2% from $968.1 million a year earlier and up 14.7% from the prior quarter.
Cme (CME) Cash from Operations (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Cme reported Cash from Operations of $4.43 billion, up 6.4% year-over-year; for FY2025, it was $4.28 billion, up 15.9% from FY2024.
- Cash from Operations has increased in each of the last four years, with a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $3.69 billion in FY2024 (+6.9%), $3.45 billion in FY2023 (+13.0%), $3.06 billion in FY2022 (+27.2%) and $2.4 billion in FY2021 (-11.5%).
- The five-year range for quarterly Cash from Operations is $617.6 million (Q2 2022) to $1.26 billion (Q1 2026).
- Year-over-year, Cash from Operations increased in five of the last eight quarters, with growth averaging 10.1%.
- The fastest year-over-year change in Cash from Operations over five years came in Q4 2022 (growth of 46.9%), and the weakest in Q2 2026 (a decline of 10.5%).
- Business Quant data shows CME's Cash from Operations at $947.1 million (Q2 2026), $1.26 billion (Q1 2026) and $1.13 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - | 1.09 Bn |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - | 4.73 Bn |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - | 1.16 Bn |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - | 1.23 Bn |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn | 521.00 Mn |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - | 2.25 Bn |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn | 817.10 Mn |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - | 858.00 Mn |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | 1.82 Bn |
| 10 | Tradeweb Markets | 26.89 Bn | 18.69 Bn | - | 347.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.09 Bn |
| Jun 30, 2026 | 947.10 Mn |
| Mar 31, 2026 | 1.26 Bn |
| Dec 31, 2025 | 1.13 Bn |
| Sep 30, 2025 | 968.10 Mn |
| Jun 30, 2025 | 1.06 Bn |
| Mar 31, 2025 | 1.12 Bn |
| Dec 31, 2024 | 1.02 Bn |
| Sep 30, 2024 | 1.00 Bn |
| Jun 30, 2024 | 776.90 Mn |
| Mar 31, 2024 | 892.70 Mn |
| Dec 31, 2023 | 1.04 Bn |
| Sep 30, 2023 | 856.70 Mn |
| Jun 30, 2023 | 650.40 Mn |
| Mar 31, 2023 | 902.40 Mn |
| Dec 31, 2022 | 981.50 Mn |
| Sep 30, 2022 | 657.80 Mn |
| Jun 30, 2022 | 617.60 Mn |
| Mar 31, 2022 | 799.10 Mn |
| Dec 31, 2021 | 668.30 Mn |
Cme Cash from Operations 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=cash-from-operations&ticker=CME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=CME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();