Cboe Global Markets (CBOE) Total Non-Current Liabilities (2010 - 2026)
Cboe Global Markets (CBOE) posted Total Non-Current Liabilities of $4.94 billion for Q2 2026, up 18.5% from $4.17 billion a year earlier but down 12.7% from the prior quarter.
Cboe Global Markets (CBOE) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Cboe Global Markets' Total Non-Current Liabilities came in at $4.13 billion, up 28.8% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- In prior years, Cboe Global Markets' Total Non-Current Liabilities was $3.2 billion in FY2024 (-1.7%), $3.26 billion in FY2023 (-2.4%), $3.34 billion in FY2022 (+10.8%) and $3.01 billion in FY2021 (+0.3%).
- Quarterly Total Non-Current Liabilities has run from a low of $3.01 billion in Q4 2021 to a high of $5.66 billion in Q1 2026 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last three quarters, with growth averaging 10.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2021, with growth of 51.0%; the weakest was Q2 2023, with a decline of 18.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $5.66 billion (Q1 2026), $4.13 billion (Q4 2025) and $3.95 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.48 Bn | 85.58 Bn | - | 46.75 Bn |
| 2 | Bank of New York Mellon | 99.71 Bn | 39.09 Bn | - | 468.26 Bn |
| 3 | Cme | 94.57 Bn | 94.57 Bn | - | 167.36 Bn |
| 4 | Intercontinental Exchange | 85.38 Bn | 79.19 Bn | - | 24.02 Bn |
| 5 | Nasdaq | 51.62 Bn | 49.05 Bn | 1.50 Bn | 15.10 Bn |
| 6 | State Street | 48.84 Bn | 48.84 Bn | - | - |
| 7 | Interactive Brokers | 38.83 Bn | 32.29 Bn | - | 224.85 Bn |
| 8 | Northern Trust | 31.65 Bn | 31.65 Bn | - | 161.36 Bn |
| 9 | Cboe Global Markets | 27.38 Bn | 19.03 Bn | 731.60 Mn | 4.94 Bn |
| 10 | LPL Financial Holdings | 24.26 Bn | 19.58 Bn | - | 11.51 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.94 Bn |
| Mar 31, 2026 | 5.66 Bn |
| Dec 31, 2025 | 4.13 Bn |
| Sep 30, 2025 | 3.95 Bn |
| Jun 30, 2025 | 4.17 Bn |
| Mar 31, 2025 | 3.89 Bn |
| Dec 31, 2024 | 3.20 Bn |
| Sep 30, 2024 | 4.22 Bn |
| Jun 30, 2024 | 4.96 Bn |
| Mar 31, 2024 | 3.87 Bn |
| Dec 31, 2023 | 3.26 Bn |
| Sep 30, 2023 | 3.71 Bn |
| Jun 30, 2023 | 3.31 Bn |
| Mar 31, 2023 | 4.15 Bn |
| Dec 31, 2022 | 3.34 Bn |
| Sep 30, 2022 | 3.82 Bn |
| Jun 30, 2022 | 4.04 Bn |
| Mar 31, 2022 | 4.47 Bn |
| Dec 31, 2021 | 3.01 Bn |
| Sep 30, 2021 | 3.89 Bn |
Cboe Global Markets Total 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=total-non-current-liabilities&ticker=CBOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();