Cboe Global Markets (CBOE) Non-Current Deferred Tax Liability (2012 - 2026)
Cboe Global Markets (CBOE) reported Non-Current Deferred Tax Liability of $224.7 million for Q2 2026, up 28.3% from $175.1 million a year earlier but down 3.6% from the prior quarter.
Cboe Global Markets (CBOE) Non-Current Deferred Tax Liability (2012 - 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%).
- Five-year quarterly Non-Current Deferred Tax Liability spans a low of $162 million in Q3 2025 and a high of $393.9 million in Q3 2021.
- Year over year, Non-Current Deferred Tax Liability gained in two of the last eight quarters, with an average decline of 1.2%.
- The high point for year-over-year Non-Current Deferred Tax Liability in five years was Q2 2026 (growth of 28.3%); the low point was Q4 2022 (a decline of 40.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $233 million (Q1 2026), $185.3 million (Q4 2025) and $162 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn |
| 10 | LPL Financial Holdings | 24.08 Bn | 19.40 Bn | - |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 393.90 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();