Cboe Global Markets (CBOE) Short term Debt (2018 - 2026)
Cboe Global Markets' Short term Debt came in at $649.6 million for Q2 2026, unchanged from the prior quarter.
Analysis
Cboe Global Markets (CBOE) Short term Debt (2018 - 2026) Analysis & Trends
At the end of FY2022, Cboe Global Markets' Short term Debt was $304.7 million.
- Short term Debt carries a four-year compound annual growth rate of 0.4% (FY2018 to FY2022).
- Going back by year, Short term Debt was $68.7 million in FY2020 and $299.8 million in FY2018.
- The Q2 2026 figure represents the highest quarterly Short term Debt in data going back to Q2 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 104.48 Bn | 85.58 Bn | - |
| 2 | Bank of New York Mellon | 99.71 Bn | 39.09 Bn | - |
| 3 | Cme | 94.57 Bn | 94.57 Bn | - |
| 4 | Intercontinental Exchange | 85.38 Bn | 79.19 Bn | - |
| 5 | Nasdaq | 51.62 Bn | 49.05 Bn | 1.50 Bn |
| 6 | State Street | 48.84 Bn | 48.84 Bn | - |
| 7 | Interactive Brokers | 38.83 Bn | 32.29 Bn | - |
| 8 | Northern Trust | 31.65 Bn | 31.65 Bn | - |
| 9 | Cboe Global Markets | 27.38 Bn | 19.03 Bn | 731.60 Mn |
| 10 | LPL Financial Holdings | 24.26 Bn | 19.58 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 649.60 Mn |
| Mar 31, 2026 | 649.50 Mn |
| Sep 30, 2023 | 74.90 Mn |
| Jun 30, 2023 | 164.90 Mn |
| Mar 31, 2023 | 304.80 Mn |
| Dec 31, 2022 | 304.70 Mn |
| Mar 31, 2021 | 49.00 Mn |
| Dec 31, 2020 | 68.70 Mn |
| Sep 30, 2020 | 70.00 Mn |
| Mar 31, 2019 | 299.90 Mn |
| Dec 31, 2018 | 299.80 Mn |
| Sep 30, 2018 | 299.60 Mn |
| Jun 30, 2018 | 299.50 Mn |
API Access
Cboe Global Markets Short term 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=short-term-debt&ticker=CBOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-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=short-term-debt&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();