Cboe Global Markets (CBOE) Net Debt Issuances and Repayments (2017 - 2023)
Cboe Global Markets (CBOE) recorded Net Debt Issuances and Repayments of -$75 million in Q4 2023, compared with -$120 million a year earlier.
Analysis
Cboe Global Markets (CBOE) Net Debt Issuances and Repayments (2017 - 2023) Analysis & Trends
For FY2023, Cboe Global Markets reported Net Debt Issuances and Repayments of -$305 million.
- Across earlier years, Net Debt Issuances and Repayments came in at $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 is the highest quarterly Net Debt Issuances and Repayments since Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.59 Bn | 97.93 Bn | - | - |
| 2 | Bank of New York Mellon | 100.46 Bn | 34.08 Bn | - | 5.77 Bn |
| 3 | Intercontinental Exchange | 97.18 Bn | 90.07 Bn | - | -256.00 Mn |
| 4 | Robinhood Markets | 72.63 Bn | 52.17 Bn | - | 234.00 Mn |
| 5 | Nasdaq | 59.89 Bn | 57.32 Bn | 1.48 Bn | - |
| 6 | State Street | 45.42 Bn | 45.42 Bn | - | -3.74 Bn |
| 7 | Cboe Global Markets | 36.91 Bn | 27.39 Bn | 712.20 Mn | - |
| 8 | Interactive Brokers | 34.30 Bn | 10.61 Bn | - | 5.00 Mn |
| 9 | Northern Trust | 31.46 Bn | 31.46 Bn | - | 57.20 Mn |
| 10 | Tradeweb Markets | 27.14 Bn | 18.94 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 Debt Issuances and 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=net-debt-issuances-and-repayments&ticker=CBOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-debt-issuances-and-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=net-debt-issuances-and-repayments&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();