Cboe Global Markets (CBOE) Tax Provisions (2010 - 2026)
Cboe Global Markets' Tax Provisions was $141.6 million in Q2 2026, up 42.3% from $99.5 million a year earlier and up 9.1% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) Tax Provisions (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cboe Global Markets' Tax Provisions was $538.9 million through Jun 30, 2026, up 44.6% year-over-year; for FY2025, it was $466.6 million, up 46.3% from FY2024.
- Tax Provisions has now increased for three consecutive years, with a five-year compound annual growth rate of 19.4% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $318.9 million in FY2024 (+11.4%), $286.2 million in FY2023 (+44.6%), $197.9 million in FY2022 (-12.9%) and $227.1 million in FY2021 (+18.2%).
- The Q2 2026 figure marks the highest quarterly Tax Provisions in data going back to Q2 2010.
- Compared with a year earlier, Tax Provisions has increased for eight straight quarters, with growth averaging 39.7% over the last eight quarters.
- The best year-over-year quarter for Tax Provisions over five years was Q1 2022 (growth of 107.0%); the worst was Q1 2023 (a decline of 35.1%).
- Per Business Quant data, CBOE's Tax Provisions in the three quarters before Q2 2026 was $129.8 million (Q1 2026), $138.2 million (Q4 2025) and $129.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | 136.00 Mn |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | 475.00 Mn |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | 285.90 Mn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | 312.00 Mn |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | 146.00 Mn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | 305.00 Mn |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | 118.00 Mn |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | 272.50 Mn |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | 141.60 Mn |
| 10 | LPL Financial Holdings | 24.08 Bn | 19.40 Bn | - | 136.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 141.60 Mn |
| Mar 31, 2026 | 129.80 Mn |
| Dec 31, 2025 | 138.20 Mn |
| Sep 30, 2025 | 129.30 Mn |
| Jun 30, 2025 | 99.50 Mn |
| Mar 31, 2025 | 99.60 Mn |
| Dec 31, 2024 | 83.20 Mn |
| Sep 30, 2024 | 90.50 Mn |
| Jun 30, 2024 | 62.60 Mn |
| Mar 31, 2024 | 82.60 Mn |
| Dec 31, 2023 | 75.50 Mn |
| Sep 30, 2023 | 61.90 Mn |
| Jun 30, 2023 | 74.00 Mn |
| Mar 31, 2023 | 74.80 Mn |
| Dec 31, 2022 | 76.10 Mn |
| Sep 30, 2022 | 78.80 Mn |
| Jun 30, 2022 | -72.30 Mn |
| Mar 31, 2022 | 115.30 Mn |
| Dec 31, 2021 | 44.30 Mn |
| Sep 30, 2021 | 53.40 Mn |
API Access
Cboe Global Markets Tax Provisions 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=tax-provisions&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();