Cboe Global Markets (CBOE) Non-Current Debt (2017 - 2026)
Cboe Global Markets (CBOE) posted Non-Current Debt of $794.2 million for Q2 2026, down 44.9% from $1.44 billion a year earlier and unchanged from the prior quarter.
Cboe Global Markets (CBOE) Non-Current Debt (2017 - 2026) Analysis & Trends
At the end of FY2025, Cboe Global Markets' Non-Current Debt came in at $1.44 billion, up 0.1% from FY2024.
- Annual Non-Current Debt has increased for six consecutive years, with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- In prior years, Cboe Global Markets' Non-Current Debt was $1.44 billion in FY2024 (+0.1%), $1.44 billion in FY2023 (+0.1%), $1.44 billion in FY2022 (+10.6%) and $1.3 billion in FY2021 (+14.5%).
- Quarterly Non-Current Debt has run from a low of $793.9 million in Q1 2026 to a high of $1.96 billion in Q2 2022 over five years.
- On a year-over-year basis, Non-Current Debt increased in six of the last eight quarters, with an average decline of 11.1%.
- The strongest year-over-year quarter for Non-Current Debt in the past five years was Q2 2022, with growth of 50.9%; the weakest was Q1 2026, with a decline of 44.9%.
- According to Business Quant data, Non-Current Debt for the three prior quarters was $793.9 million (Q1 2026), $1.44 billion (Q4 2025) and $1.44 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | 3.42 Bn |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | 18.63 Bn |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | 2.46 Bn |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | 8.49 Bn |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | - |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | 794.20 Mn |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | - |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | - |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | - |
| 10 | Xp | 16.54 Bn | -5.29 Bn | 105.39 Mn | 54.47 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 794.20 Mn |
| Mar 31, 2026 | 793.90 Mn |
| Dec 31, 2025 | 1.44 Bn |
| Sep 30, 2025 | 1.44 Bn |
| Jun 30, 2025 | 1.44 Bn |
| Mar 31, 2025 | 1.44 Bn |
| Dec 31, 2024 | 1.44 Bn |
| Sep 30, 2024 | 1.44 Bn |
| Jun 30, 2024 | 1.44 Bn |
| Mar 31, 2024 | 1.44 Bn |
| Dec 31, 2023 | 1.44 Bn |
| Sep 30, 2023 | 1.44 Bn |
| Jun 30, 2023 | 1.44 Bn |
| Mar 31, 2023 | 1.44 Bn |
| Dec 31, 2022 | 1.44 Bn |
| Sep 30, 2022 | 1.86 Bn |
| Jun 30, 2022 | 1.96 Bn |
| Mar 31, 2022 | 1.59 Bn |
| Dec 31, 2021 | 1.30 Bn |
| Sep 30, 2021 | 1.30 Bn |
Cboe Global Markets Non-Current Debt 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-debt&ticker=CBOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-debt&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();