Cboe Global Markets (CBOE) Cash & Equivalents (2010 - 2026)
Cboe Global Markets (CBOE) reported Cash & Equivalents of $2.66 billion for Q3 2026, up 77.9% from $1.5 billion a year earlier and up 17.0% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cboe Global Markets posted Cash & Equivalents of $2.22 billion, up 140.8% from FY2024.
- Cash & Equivalents has increased for six consecutive years, with a five-year compound annual growth rate of 55.3% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $920.3 million in FY2024 (+69.4%), $543.2 million in FY2023 (+25.5%), $432.7 million in FY2022 (+26.6%) and $341.9 million in FY2021 (+39.3%).
- The Q3 2026 figure ranks as the highest quarterly Cash & Equivalents in data going back to Q2 2010.
- Year over year, Cash & Equivalents has now increased in each of the last 14 quarters, with growth averaging 96.1% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2022 (growth of 150.4%); the low point was Q1 2023 (a decline of 33.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $2.28 billion (Q2 2026), $2.13 billion (Q1 2026) and $2.22 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 108.95 Bn | 97.29 Bn | - | 2.20 Bn |
| 2 | Bank of New York Mellon | 102.82 Bn | 36.44 Bn | - | - |
| 3 | Intercontinental Exchange | 98.21 Bn | 91.10 Bn | - | 936.00 Mn |
| 4 | Robinhood Markets | 74.92 Bn | 54.46 Bn | - | 5.83 Bn |
| 5 | Nasdaq | 60.69 Bn | 58.13 Bn | 1.48 Bn | 365.00 Mn |
| 6 | State Street | 46.98 Bn | 46.98 Bn | - | - |
| 7 | Cboe Global Markets | 36.89 Bn | 27.37 Bn | 712.20 Mn | 2.66 Bn |
| 8 | Interactive Brokers | 35.15 Bn | 11.46 Bn | - | 5.94 Bn |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | - |
| 10 | Tradeweb Markets | 27.24 Bn | 19.05 Bn | - | 2.11 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.66 Bn |
| Jun 30, 2026 | 2.28 Bn |
| Mar 31, 2026 | 2.13 Bn |
| Dec 31, 2025 | 2.22 Bn |
| Sep 30, 2025 | 1.50 Bn |
| Jun 30, 2025 | 1.26 Bn |
| Mar 31, 2025 | 1.05 Bn |
| Dec 31, 2024 | 920.30 Mn |
| Sep 30, 2024 | 763.20 Mn |
| Jun 30, 2024 | 614.60 Mn |
| Mar 31, 2024 | 536.30 Mn |
| Dec 31, 2023 | 543.20 Mn |
| Sep 30, 2023 | 403.10 Mn |
| Jun 30, 2023 | 413.60 Mn |
| Mar 31, 2023 | 435.60 Mn |
| Dec 31, 2022 | 432.70 Mn |
| Sep 30, 2022 | 353.30 Mn |
| Jun 30, 2022 | 373.30 Mn |
| Mar 31, 2022 | 659.40 Mn |
| Dec 31, 2021 | 341.90 Mn |
API Access
Cboe Global Markets Cash & Equivalents 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-and-equivalents&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();