Cboe Global Markets (CBOE) Accounts Payables (2010 - 2026)
Cboe Global Markets' Accounts Payables came in at $389.1 million for Q2 2026, down 16.7% from $467.3 million a year earlier but up 16.9% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Cboe Global Markets' Accounts Payables was $686.9 million, up 91.0% from FY2024.
- Accounts Payables carries a five-year compound annual growth rate of 22.4% (FY2020 to FY2025).
- Going back by year, Accounts Payables was $359.7 million in FY2024 (-12.8%), $412.7 million in FY2023 (-1.8%), $420.2 million in FY2022 (+42.2%) and $295.4 million in FY2021 (+18.2%).
- The five-year range for quarterly Accounts Payables is $259.6 million (Q3 2021) to $686.9 million (Q4 2025).
- Year-over-year, Accounts Payables increased in four of the last eight quarters, with growth averaging 22.8%.
- The fastest year-over-year change in Accounts Payables over five years came in Q4 2025 (growth of 91.0%), and the weakest in Q2 2024 (a decline of 25.7%).
- Business Quant data shows CBOE's Accounts Payables at $332.8 million (Q1 2026), $686.9 million (Q4 2025) and $517.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | 646.00 Mn |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | 25.73 Bn |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | 68.00 Mn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | 1.16 Bn |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | 252.00 Mn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | 819.00 Mn |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | 389.10 Mn |
| 10 | LPL Financial Holdings | 24.08 Bn | 19.40 Bn | - | 812.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 389.10 Mn |
| Mar 31, 2026 | 332.80 Mn |
| Dec 31, 2025 | 686.90 Mn |
| Sep 30, 2025 | 517.70 Mn |
| Jun 30, 2025 | 467.30 Mn |
| Mar 31, 2025 | 298.90 Mn |
| Dec 31, 2024 | 359.70 Mn |
| Sep 30, 2024 | 304.70 Mn |
| Jun 30, 2024 | 290.90 Mn |
| Mar 31, 2024 | 304.70 Mn |
| Dec 31, 2023 | 412.70 Mn |
| Sep 30, 2023 | 375.80 Mn |
| Jun 30, 2023 | 391.40 Mn |
| Mar 31, 2023 | 368.20 Mn |
| Dec 31, 2022 | 420.20 Mn |
| Sep 30, 2022 | 401.10 Mn |
| Jun 30, 2022 | 405.90 Mn |
| Mar 31, 2022 | 387.10 Mn |
| Dec 31, 2021 | 295.40 Mn |
| Sep 30, 2021 | 259.60 Mn |
API Access
Cboe Global Markets Accounts Payables 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=accounts-payables&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();