Cboe Global Markets (CBOE) Change in Accrued Expenses (2009 - 2026)
Cboe Global Markets (CBOE) recorded Change in Accrued Expenses of -$12.6 million in Q3 2026, compared with $54.5 million a year earlier.
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Analysis
Cboe Global Markets (CBOE) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Cboe Global Markets' Change in Accrued Expenses came in at -$286.7 million as of Sep 30, 2026; for FY2025, it came in at $6.5 million.
- Annual Change in Accrued Expenses has a five-year compound annual growth rate of -35.8% (FY2020 to FY2025).
- Across earlier years, Change in Accrued 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%).
- Quarterly Change in Accrued Expenses has ranged from -$351.7 million in Q1 2026 to $78.3 million in Q4 2024 over the past five years.
- Peak year-over-year performance for Change in Accrued 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 $69.7 million (Q2 2026), -$351.7 million (Q1 2026) and $7.9 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 306.80 Mn |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - | 3.00 Bn |
| 3 | Intercontinental Exchange | 99.60 Bn | 93.42 Bn | 1.22 Bn | 99.00 Mn |
| 4 | Robinhood Markets | 70.15 Bn | 49.76 Bn | - | 49.00 Mn |
| 5 | Nasdaq | 60.57 Bn | 58.01 Bn | 1.48 Bn | 79.00 Mn |
| 6 | State Street | 47.32 Bn | 43.94 Bn | - | - |
| 7 | Cboe Global Markets | 39.19 Bn | 29.68 Bn | 712.20 Mn | -12.60 Mn |
| 8 | Interactive Brokers | 37.06 Bn | 20.72 Bn | - | 1.17 Bn |
| 9 | Northern Trust | 32.28 Bn | 32.28 Bn | - | 37.50 Mn |
| 10 | Tradeweb Markets | 30.81 Bn | 23.33 Bn | - | 126.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -12.60 Mn |
| 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 |
API Access
Cboe Global Markets Change in Accrued 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();