Cboe Global Markets (CBOE) Long-Term Debt Repayments (2017 - 2023)
Cboe Global Markets' Long-Term Debt Repayments was $75 million in Q4 2023, down 37.5% from $120 million a year earlier and down 16.7% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) Long-Term Debt Repayments (2017 - 2023) Analysis & Trends
For FY2023, Long-Term Debt Repayments at Cboe Global Markets came in at $305 million, up 38.6% from FY2022.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -1.3% (FY2018 to FY2023).
- In earlier years, Long-Term Debt Repayments was $220 million in FY2022, $20 million in FY2021 (-87.1%), $155 million in FY2020 (-55.7%) and $350 million in FY2019 (+7.7%).
- The Q4 2023 figure marks the lowest quarterly Long-Term Debt Repayments since Q1 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.43 Bn | 98.52 Bn | - | - |
| 2 | Intercontinental Exchange | 92.22 Bn | 85.96 Bn | - | - |
| 3 | Robinhood Markets | 86.78 Bn | 67.81 Bn | - | 10.00 Mn |
| 4 | Nasdaq | 58.09 Bn | 55.52 Bn | 1.50 Bn | 431.00 Mn |
| 5 | Interactive Brokers | 36.85 Bn | 13.96 Bn | - | - |
| 6 | Cboe Global Markets | 34.46 Bn | 26.11 Bn | 731.60 Mn | - |
| 7 | Tradeweb Markets | 25.89 Bn | 17.90 Bn | - | - |
| 8 | LPL Financial Holdings | 25.45 Bn | 20.77 Bn | - | - |
| 9 | Circle Internet | 21.46 Bn | 15.33 Bn | 288.85 Mn | - |
| 10 | Xp | 15.46 Bn | -6.37 Bn | 105.39 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 75.00 Mn |
| Sep 30, 2023 | 90.00 Mn |
| Dec 31, 2022 | 120.00 Mn |
| Mar 31, 2021 | 20.00 Mn |
| Sep 30, 2019 | 50.00 Mn |
| Mar 31, 2018 | 325.00 Mn |
| Dec 31, 2017 | 75.00 Mn |
| Sep 30, 2017 | 100.00 Mn |
| Jun 30, 2017 | 375.00 Mn |
| Mar 31, 2017 | 150.00 Mn |
API Access
Cboe Global Markets Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();