Cboe Global Markets (CBOE) Other Non-Current Liabilities (2010 - 2026)
Cboe Global Markets' Other Non-Current Liabilities came in at $43.2 million for Q2 2026, down 79.7% from $212.6 million a year earlier but up 8.0% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Cboe Global Markets' Other Non-Current Liabilities was $39.8 million, down 87.0% from FY2024.
- Other Non-Current Liabilities carries a five-year compound annual growth rate of -24.7% (FY2020 to FY2025).
- Going back by year, Other Non-Current Liabilities was $305 million in FY2024 (+25.1%), $243.8 million in FY2023 (+24.3%), $196.1 million in FY2022 (-0.9%) and $197.9 million in FY2021 (+20.2%).
- The five-year range for quarterly Other Non-Current Liabilities is $39.8 million (Q4 2025) to $324.2 million (Q1 2025).
- Year-over-year, Other Non-Current Liabilities has declined for five consecutive quarters, with an average decline of 27.5% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in Q1 2023 (growth of 29.1%), and the weakest in Q1 2026 (a decline of 87.7%).
- Business Quant data shows CBOE's Other Non-Current Liabilities at $40 million (Q1 2026), $39.8 million (Q4 2025) and $235.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.20 Mn |
| Mar 31, 2026 | 40.00 Mn |
| Dec 31, 2025 | 39.80 Mn |
| Sep 30, 2025 | 235.20 Mn |
| Jun 30, 2025 | 212.60 Mn |
| Mar 31, 2025 | 324.20 Mn |
| Dec 31, 2024 | 305.00 Mn |
| Sep 30, 2024 | 286.90 Mn |
| Jun 30, 2024 | 270.90 Mn |
| Mar 31, 2024 | 257.40 Mn |
| Dec 31, 2023 | 243.80 Mn |
| Sep 30, 2023 | 233.90 Mn |
| Jun 30, 2023 | 223.70 Mn |
| Mar 31, 2023 | 210.50 Mn |
| Dec 31, 2022 | 196.10 Mn |
| Sep 30, 2022 | 184.80 Mn |
| Jun 30, 2022 | 173.50 Mn |
| Mar 31, 2022 | 163.00 Mn |
| Dec 31, 2021 | 197.90 Mn |
| Sep 30, 2021 | 196.80 Mn |
API Access
Cboe Global Markets Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();