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 | Cme | 106.61 Bn | 94.70 Bn | - |
| 2 | Robinhood Markets | 91.70 Bn | 72.73 Bn | - |
| 3 | Intercontinental Exchange | 88.95 Bn | 82.69 Bn | - |
| 4 | Nasdaq | 54.22 Bn | 51.65 Bn | 1.50 Bn |
| 5 | Interactive Brokers | 38.25 Bn | 15.37 Bn | - |
| 6 | Cboe Global Markets | 33.42 Bn | 25.08 Bn | 731.60 Mn |
| 7 | LPL Financial Holdings | 25.64 Bn | 20.96 Bn | - |
| 8 | Tradeweb Markets | 25.45 Bn | 17.47 Bn | - |
| 9 | Circle Internet | 22.26 Bn | 16.14 Bn | 288.85 Mn |
| 10 | Xp | 16.07 Bn | -5.76 Bn | 105.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.60 Mn |
| Mar 31, 2026 | 62.00 Mn |
| Dec 31, 2025 | 55.60 Mn |
| Sep 30, 2025 | 273.40 Mn |
| Jun 30, 2025 | 245.70 Mn |
| Mar 31, 2025 | 355.00 Mn |
| Dec 31, 2024 | 348.10 Mn |
| Sep 30, 2024 | 332.00 Mn |
| Jun 30, 2024 | 313.90 Mn |
| Mar 31, 2024 | 322.90 Mn |
| Dec 31, 2023 | 323.10 Mn |
| Sep 30, 2023 | 313.90 Mn |
| Jun 30, 2023 | 295.60 Mn |
| Mar 31, 2023 | 285.20 Mn |
| Dec 31, 2022 | 266.90 Mn |
| Sep 30, 2022 | 227.70 Mn |
| Jun 30, 2022 | 263.40 Mn |
| Mar 31, 2022 | 202.40 Mn |
| Dec 31, 2021 | 239.20 Mn |
| Sep 30, 2021 | 242.30 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();