Cboe Global Markets (CBOE) Cash from Operations (2010 - 2026)
Cboe Global Markets' Cash from Operations came in at $817.1 million for Q3 2026, up 430.9% from $153.9 million a year earlier.
Powered by 
Analysis
Cboe Global Markets (CBOE) Cash from Operations (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Cboe Global Markets reported Cash from Operations of $2.63 billion, up 280.5% year-over-year; for FY2025, it was $1.75 billion, up 59.2% from FY2024.
- Cash from Operations has increased in each of the last four years, with a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $1.1 billion in FY2024 (+2.3%), $1.08 billion in FY2023 (+65.2%), $651.1 million in FY2022 (+9.1%) and $596.8 million in FY2021 (-59.1%).
- The five-year range for quarterly Cash from Operations is -$710.4 million (Q4 2024) to $1.96 billion (Q1 2026).
- Year-over-year, Cash from Operations increased in three of the last four quarters, with growth averaging 117.5%.
- The fastest year-over-year change in Cash from Operations over five years came in Q3 2026 (growth of 430.9%), and the weakest in Q2 2025 (a decline of 77.7%).
- Business Quant data shows CBOE's Cash from Operations at -$503.2 million (Q2 2026), $1.96 billion (Q1 2026) and $352.1 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 108.95 Bn | 97.29 Bn | - | 1.09 Bn |
| 2 | Bank of New York Mellon | 102.82 Bn | 36.44 Bn | - | 4.73 Bn |
| 3 | Intercontinental Exchange | 98.21 Bn | 91.10 Bn | - | 1.16 Bn |
| 4 | Robinhood Markets | 74.92 Bn | 54.46 Bn | - | 1.23 Bn |
| 5 | Nasdaq | 60.69 Bn | 58.13 Bn | 1.48 Bn | 521.00 Mn |
| 6 | State Street | 46.98 Bn | 46.98 Bn | - | 2.25 Bn |
| 7 | Cboe Global Markets | 36.89 Bn | 27.37 Bn | 712.20 Mn | 817.10 Mn |
| 8 | Interactive Brokers | 35.15 Bn | 11.46 Bn | - | 858.00 Mn |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | 1.82 Bn |
| 10 | Tradeweb Markets | 27.24 Bn | 19.05 Bn | - | 347.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 817.10 Mn |
| Jun 30, 2026 | -503.20 Mn |
| Mar 31, 2026 | 1.96 Bn |
| Dec 31, 2025 | 352.10 Mn |
| Sep 30, 2025 | 153.90 Mn |
| Jun 30, 2025 | 333.70 Mn |
| Mar 31, 2025 | 912.90 Mn |
| Dec 31, 2024 | -710.40 Mn |
| Sep 30, 2024 | -578.50 Mn |
| Jun 30, 2024 | 1.49 Bn |
| Mar 31, 2024 | 895.60 Mn |
| Dec 31, 2023 | -189.00 Mn |
| Sep 30, 2023 | 736.90 Mn |
| Jun 30, 2023 | -503.10 Mn |
| Mar 31, 2023 | 1.03 Bn |
| Dec 31, 2022 | -143.60 Mn |
| Sep 30, 2022 | 169.30 Mn |
| Jun 30, 2022 | -634.40 Mn |
| Mar 31, 2022 | 1.26 Bn |
| Dec 31, 2021 | -688.60 Mn |
API Access
Cboe Global Markets 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=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "ticker": "CBOE", "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=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();