Cboe Global Markets (CBOE) Net Long-Term Debt Issued (Repaid) (2017 - 2023)
Cboe Global Markets (CBOE) posted Net Long-Term Debt Issued (Repaid) of -$75 million for Q4 2023, compared with -$120 million a year earlier.
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Analysis
Cboe Global Markets (CBOE) Net Long-Term Debt Issued (Repaid) (2017 - 2023) Analysis & Trends
For FY2023, Cboe Global Markets' Net Long-Term Debt Issued (Repaid) came in at -$305 million.
- In prior years, Cboe Global Markets' Net Long-Term Debt Issued (Repaid) was $443.6 million in FY2022 (+392.9%), $90 million in FY2021 (-73.4%), $338.7 million in FY2020 and -$350 million in FY2019.
- The Q4 2023 figure stands as the highest quarterly Net Long-Term Debt Issued (Repaid) since Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - | - |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - | 3.74 Bn |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - | - |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - | - |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn | - |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - | -270.00 Mn |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn | - |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - | - |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | - |
| 10 | Tradeweb Markets | 26.89 Bn | 18.69 Bn | - | - |
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 |
| Jun 30, 2022 | 365.00 Mn |
| Mar 31, 2022 | 298.60 Mn |
| Mar 31, 2021 | -20.00 Mn |
| Dec 31, 2020 | 423.70 Mn |
| Sep 30, 2019 | -50.00 Mn |
| Mar 31, 2018 | -25.00 Mn |
| Dec 31, 2017 | -75.30 Mn |
| Sep 30, 2017 | -100.00 Mn |
| Jun 30, 2017 | -75.00 Mn |
| Mar 31, 2017 | 1.49 Bn |
API Access
Cboe Global Markets Net Long-Term Debt Issued (Repaid) 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_KEYimport 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();