Cboe Global Markets (CBOE) Change in Accured Expenses (2010 - 2026)
Cboe Global Markets (CBOE) recorded Change in Accured Expenses of $69.7 million in Q2 2026, up 428.0% from $13.2 million a year earlier.
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Analysis
Cboe Global Markets (CBOE) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Cboe Global Markets' Change in Accured Expenses came in at -$219.6 million as of Jun 30, 2026; for FY2025, it came in at $6.5 million.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -35.8% (FY2020 to FY2025).
- Across earlier years, Change in Accured Expenses came in at -$36.4 million in FY2024, -$19.1 million in FY2023, $38.8 million in FY2022 (-13.8%) and $45 million in FY2021 (-24.2%).
- The Q2 2026 figure is the highest quarterly Change in Accured Expenses since Q4 2024.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 428.0% in Q2 2026, against a decline of 99.0% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -$351.7 million (Q1 2026), $7.9 million (Q4 2025) and $54.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 67.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | -70.30 Mn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | -77.00 Mn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 36.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 364.00 Mn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | -55.70 Mn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 69.70 Mn |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - | 55.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.70 Mn |
| Mar 31, 2026 | -351.70 Mn |
| Dec 31, 2025 | 7.90 Mn |
| Sep 30, 2025 | 54.50 Mn |
| Jun 30, 2025 | 13.20 Mn |
| Mar 31, 2025 | -69.10 Mn |
| Dec 31, 2024 | 78.30 Mn |
| Sep 30, 2024 | -1.40 Mn |
| Jun 30, 2024 | 200,000.00 |
| Mar 31, 2024 | -113.50 Mn |
| Dec 31, 2023 | 23.40 Mn |
| Sep 30, 2023 | -5.70 Mn |
| Jun 30, 2023 | 19.20 Mn |
| Mar 31, 2023 | -56.00 Mn |
| Dec 31, 2022 | 10.80 Mn |
| Sep 30, 2022 | 4.00 Mn |
| Jun 30, 2022 | 21.20 Mn |
| Mar 31, 2022 | 2.80 Mn |
| Dec 31, 2021 | 36.10 Mn |
| Sep 30, 2021 | -700,000.00 |
API Access
Cboe Global Markets Change in Accured 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=change-in-accured-expenses&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();