Cboe Global Markets (CBOE) Non-Current Deferred Tax Liability (2009 - 2026)
Cboe Global Markets (CBOE) reported Non-Current Deferred Tax Liability of $237.1 million for Q3 2026, up 46.4% from $162 million a year earlier and up 5.5% from the prior quarter.
Cboe Global Markets (CBOE) Non-Current Deferred Tax Liability (2009 - 2026) Analysis & Trends
At the end of FY2025, Cboe Global Markets posted Non-Current Deferred Tax Liability of $185.3 million, down 0.8% from FY2024.
- Non-Current Deferred Tax Liability has declined for eight consecutive years, with a five-year compound annual growth rate of -13.3% (FY2020 to FY2025).
- By year, Non-Current Deferred Tax Liability came in at $186.8 million in FY2024 (-14.2%), $217.8 million in FY2023 (-2.3%), $222.9 million in FY2022 (-40.2%) and $372.7 million in FY2021 (-1.3%).
- The Q3 2026 figure ranks as the highest quarterly Non-Current Deferred Tax Liability since Q3 2022.
- Year over year, Non-Current Deferred Tax Liability has now increased in each of the last three quarters, with growth averaging 5.6% over the last eight quarters.
- The high point for year-over-year Non-Current Deferred Tax Liability in five years was Q3 2026 (growth of 46.4%); the low point was Q4 2022 (a decline of 40.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $224.7 million (Q2 2026), $233 million (Q1 2026) and $185.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - |
| 10 | Tradeweb Markets | 30.09 Bn | 22.61 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 237.10 Mn |
| Jun 30, 2026 | 224.70 Mn |
| Mar 31, 2026 | 233.00 Mn |
| Dec 31, 2025 | 185.30 Mn |
| Sep 30, 2025 | 162.00 Mn |
| Jun 30, 2025 | 175.10 Mn |
| Mar 31, 2025 | 182.80 Mn |
| Dec 31, 2024 | 186.80 Mn |
| Sep 30, 2024 | 196.90 Mn |
| Jun 30, 2024 | 194.70 Mn |
| Mar 31, 2024 | 214.20 Mn |
| Dec 31, 2023 | 217.80 Mn |
| Sep 30, 2023 | 213.10 Mn |
| Jun 30, 2023 | 206.10 Mn |
| Mar 31, 2023 | 211.40 Mn |
| Dec 31, 2022 | 222.90 Mn |
| Sep 30, 2022 | 239.10 Mn |
| Jun 30, 2022 | 252.60 Mn |
| Mar 31, 2022 | 352.40 Mn |
| Dec 31, 2021 | 372.70 Mn |
Cboe Global Markets Non-Current Deferred Tax Liability 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=non-current-deferred-tax-liability&ticker=CBOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deferred-tax-liability", "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=non-current-deferred-tax-liability&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();