Cboe Global Markets (CBOE) Interest Expenses (2010 - 2026)
Cboe Global Markets (CBOE) reported Interest Expenses of $13.2 million for Q2 2026, up 2.3% from $12.9 million a year earlier but down 0.8% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cboe Global Markets' Interest Expenses came in at $53.1 million, up 3.3% year-over-year; for FY2025, it came in at $52.3 million, up 1.6% from FY2024.
- Interest Expenses has a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- By year, Interest Expenses came in at $51.5 million in FY2024 (-17.5%), $62.4 million in FY2023 (+4.0%), $60 million in FY2022 (+25.0%) and $48 million in FY2021 (+24.0%).
- Five-year quarterly Interest Expenses spans a low of $11.5 million in Q4 2021 and a high of $17.1 million in Q1 2023.
- Year over year, Interest Expenses has now increased in each of the last five quarters, with an average decline of 0.8% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q4 2022 (growth of 48.7%); the low point was Q1 2024 (a decline of 24.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $13.3 million (Q1 2026), $13.3 million (Q4 2025) and $13.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | 159.00 Mn |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | 4.49 Bn |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | 43.60 Mn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | 205.00 Mn |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | 86.00 Mn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | 1.98 Bn |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | 1.18 Bn |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | 1.51 Bn |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | 13.20 Mn |
| 10 | LPL Financial Holdings | 24.08 Bn | 19.40 Bn | - | 101.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.20 Mn |
| Mar 31, 2026 | 13.30 Mn |
| Dec 31, 2025 | 13.30 Mn |
| Sep 30, 2025 | 13.30 Mn |
| Jun 30, 2025 | 12.90 Mn |
| Mar 31, 2025 | 12.80 Mn |
| Dec 31, 2024 | 12.90 Mn |
| Sep 30, 2024 | 12.80 Mn |
| Jun 30, 2024 | 12.80 Mn |
| Mar 31, 2024 | 13.00 Mn |
| Dec 31, 2023 | 13.20 Mn |
| Sep 30, 2023 | 15.40 Mn |
| Jun 30, 2023 | 16.70 Mn |
| Mar 31, 2023 | 17.10 Mn |
| Dec 31, 2022 | 17.10 Mn |
| Sep 30, 2022 | 16.10 Mn |
| Jun 30, 2022 | 15.10 Mn |
| Mar 31, 2022 | 11.70 Mn |
| Dec 31, 2021 | 11.50 Mn |
| Sep 30, 2021 | 11.70 Mn |
API Access
Cboe Global Markets Interest Expenses 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=interest-expenses&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();