Cboe Global Markets (CBOE) Cash & Equivalents (2010 - 2026)
Cboe Global Markets (CBOE) reported Cash & Equivalents of $2.28 billion for Q2 2026, up 81.2% from $1.26 billion a year earlier and up 6.6% 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 Q2 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 13 quarters, with growth averaging 97.5% 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 Q2 2026 came in at $2.13 billion (Q1 2026), $2.22 billion (Q4 2025) and $1.5 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 99.92 Bn | 81.02 Bn | - | 5.36 Bn |
| 2 | Bank of New York Mellon | 97.64 Bn | 37.02 Bn | - | - |
| 3 | Cme | 95.24 Bn | 95.24 Bn | - | 2.14 Bn |
| 4 | Intercontinental Exchange | 84.98 Bn | 78.79 Bn | - | 1.07 Bn |
| 5 | Nasdaq | 51.52 Bn | 48.95 Bn | 1.50 Bn | 520.00 Mn |
| 6 | State Street | 47.96 Bn | 47.96 Bn | - | - |
| 7 | Interactive Brokers | 38.66 Bn | 32.12 Bn | - | 7.71 Bn |
| 8 | Northern Trust | 30.96 Bn | 30.96 Bn | - | - |
| 9 | Cboe Global Markets | 29.00 Bn | 20.65 Bn | 731.60 Mn | 2.28 Bn |
| 10 | LPL Financial Holdings | 24.58 Bn | 19.90 Bn | - | 1.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 392.40 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();