Cboe Global Markets (CBOE) Net Cash Flow (2010 - 2026)
Cboe Global Markets (CBOE) posted Net Cash Flow of $847.5 million for Q3 2026, up 245.1% from $245.6 million a year earlier.
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Analysis
Cboe Global Markets (CBOE) Net Cash Flow (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Net Cash Flow at Cboe Global Markets was $2.62 billion; for FY2025, it was $1.83 billion, up 294.8% from FY2024.
- Annual Net Cash Flow shows a five-year compound annual growth rate of 17.2% (FY2020 to FY2025).
- In prior years, Cboe Global Markets' Net Cash Flow was $463.8 million in FY2024 (+27.3%), $364.4 million in FY2023, -$102.3 million in FY2022 and $43.8 million in FY2021 (-94.7%).
- Quarterly Net Cash Flow has run from a low of -$1.09 billion in Q2 2022 to a high of $1.8 billion in Q1 2026 over five years.
- On a year-over-year basis, Net Cash Flow increased in three of the last four quarters, with growth averaging 73.6%.
- The strongest year-over-year quarter for Net Cash Flow in the past five years was Q3 2026, with growth of 245.1%; the weakest was Q3 2022, with a decline of 91.3%.
- According to Business Quant data, Net Cash Flow for the three prior quarters was -$721.7 million (Q2 2026), $1.8 billion (Q1 2026) and $693.9 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - | -2.88 Bn |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - | -1.67 Bn |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - | 2.15 Bn |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - | 1.10 Bn |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn | 371.00 Mn |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - | 506.00 Mn |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn | 847.50 Mn |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - | 369.00 Mn |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | 809.80 Mn |
| 10 | Tradeweb Markets | 26.89 Bn | 18.69 Bn | - | 56.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 847.50 Mn |
| Jun 30, 2026 | -721.70 Mn |
| Mar 31, 2026 | 1.80 Bn |
| Dec 31, 2025 | 693.90 Mn |
| Sep 30, 2025 | 245.60 Mn |
| Jun 30, 2025 | 113.00 Mn |
| Mar 31, 2025 | 778.70 Mn |
| Dec 31, 2024 | -907.90 Mn |
| Sep 30, 2024 | -621.20 Mn |
| Jun 30, 2024 | 1.28 Bn |
| Mar 31, 2024 | 713.70 Mn |
| Dec 31, 2023 | -369.70 Mn |
| Sep 30, 2023 | 597.90 Mn |
| Jun 30, 2023 | -755.30 Mn |
| Mar 31, 2023 | 891.50 Mn |
| Dec 31, 2022 | -427.10 Mn |
| Sep 30, 2022 | 36.50 Mn |
| Jun 30, 2022 | -1.09 Bn |
| Mar 31, 2022 | 1.38 Bn |
| Dec 31, 2021 | -958.60 Mn |
API Access
Cboe Global Markets Net Cash Flow 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-cash-flow&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();