Cboe Global Markets (CBOE) Income Taxes Paid (2010 - 2026)
Cboe Global Markets (CBOE) recorded Income Taxes Paid of $136.4 million in Q3 2026, up 47.8% from $92.3 million a year earlier but down 46.8% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) Income Taxes Paid (2010 - 2026) Analysis & Trends
On a TTM basis, Cboe Global Markets' Income Taxes Paid came in at $864.4 million as of Sep 30, 2026, up 160.4% year-over-year; for FY2025, it came in at $391.6 million, up 8.1% from FY2024.
- Annual Income Taxes Paid has increased for six straight years, with a five-year compound annual growth rate of 15.4% (FY2020 to FY2025).
- Across earlier years, Income Taxes Paid came in at $362.4 million in FY2024 (+26.5%), $286.4 million in FY2023 (+5.6%), $271.1 million in FY2022 (+29.2%) and $209.8 million in FY2021 (+9.6%).
- Quarterly Income Taxes Paid has ranged from $8 million in Q1 2025 to $320.7 million in Q1 2026 over the past five years.
- On a year-over-year basis, Income Taxes Paid rose in five of the last seven quarters, with growth averaging 22.0%.
- Peak year-over-year performance for Income Taxes Paid in the last five years was growth of 723.7% in Q1 2024, against a decline of 89.6% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $256.6 million (Q2 2026), $320.7 million (Q1 2026) and $150.7 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.59 Bn | 97.93 Bn | - | 332.90 Mn |
| 2 | Bank of New York Mellon | 100.46 Bn | 34.08 Bn | - | 379.00 Mn |
| 3 | Intercontinental Exchange | 97.18 Bn | 90.07 Bn | - | 292.00 Mn |
| 4 | Robinhood Markets | 72.63 Bn | 52.17 Bn | - | 59.00 Mn |
| 5 | Nasdaq | 59.89 Bn | 57.32 Bn | 1.48 Bn | 66.00 Mn |
| 6 | State Street | 45.42 Bn | 45.42 Bn | - | 135.00 Mn |
| 7 | Cboe Global Markets | 36.91 Bn | 27.39 Bn | 712.20 Mn | 136.40 Mn |
| 8 | Interactive Brokers | 34.30 Bn | 10.61 Bn | - | 103.00 Mn |
| 9 | Northern Trust | 31.46 Bn | 31.46 Bn | - | 202.90 Mn |
| 10 | Tradeweb Markets | 27.14 Bn | 18.94 Bn | - | 23.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 136.40 Mn |
| Jun 30, 2026 | 256.60 Mn |
| Mar 31, 2026 | 320.70 Mn |
| Dec 31, 2025 | 150.70 Mn |
| Sep 30, 2025 | 92.30 Mn |
| Jun 30, 2025 | 140.60 Mn |
| Mar 31, 2025 | 8.00 Mn |
| Dec 31, 2024 | 91.00 Mn |
| Sep 30, 2024 | 93.10 Mn |
| Jun 30, 2024 | 101.70 Mn |
| Mar 31, 2024 | 76.60 Mn |
| Dec 31, 2023 | 82.70 Mn |
| Sep 30, 2023 | 74.20 Mn |
| Jun 30, 2023 | 120.20 Mn |
| Mar 31, 2023 | 9.30 Mn |
| Dec 31, 2022 | 77.10 Mn |
| Sep 30, 2022 | 59.60 Mn |
| Jun 30, 2022 | 124.10 Mn |
| Mar 31, 2022 | 10.30 Mn |
| Dec 31, 2021 | 65.40 Mn |
API Access
Cboe Global Markets Income Taxes Paid 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=income-taxes-paid&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();