Cboe Global Markets (CBOE) Total Current Liabilities (2010 - 2026)
Cboe Global Markets' Total Current Liabilities came in at $4.09 billion for Q3 2026, up 87.8% from $2.18 billion a year earlier and up 8.0% from the prior quarter.
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Analysis
Cboe Global Markets (CBOE) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Cboe Global Markets' Total Current Liabilities was $2.36 billion, up 69.3% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $1.4 billion in FY2024 (+0.9%), $1.38 billion in FY2023 (-6.3%), $1.48 billion in FY2022 (+26.3%) and $1.17 billion in FY2021 (-11.0%).
- The five-year range for quarterly Total Current Liabilities is $1.17 billion (Q4 2021) to $4.49 billion (Q1 2026).
- Year-over-year, Total Current Liabilities has increased for four consecutive quarters, with growth averaging 37.8% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q2 2024 (growth of 115.2%), and the weakest in Q2 2025 (a decline of 24.4%).
- Business Quant data shows CBOE's Total Current Liabilities at $3.79 billion (Q2 2026), $4.49 billion (Q1 2026) and $2.36 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - | 156.11 Bn |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - | - |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - | 121.30 Bn |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - | 45.24 Bn |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn | 4.52 Bn |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - | - |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn | 4.09 Bn |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - | - |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | - |
| 10 | Tradeweb Markets | 26.89 Bn | 18.69 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.09 Bn |
| Jun 30, 2026 | 3.79 Bn |
| Mar 31, 2026 | 4.49 Bn |
| Dec 31, 2025 | 2.36 Bn |
| Sep 30, 2025 | 2.18 Bn |
| Jun 30, 2025 | 2.39 Bn |
| Mar 31, 2025 | 2.10 Bn |
| Dec 31, 2024 | 1.40 Bn |
| Sep 30, 2024 | 2.39 Bn |
| Jun 30, 2024 | 3.16 Bn |
| Mar 31, 2024 | 2.01 Bn |
| Dec 31, 2023 | 1.38 Bn |
| Sep 30, 2023 | 1.85 Bn |
| Jun 30, 2023 | 1.47 Bn |
| Mar 31, 2023 | 2.30 Bn |
| Dec 31, 2022 | 1.48 Bn |
| Sep 30, 2022 | 1.55 Bn |
| Jun 30, 2022 | 1.60 Bn |
| Mar 31, 2022 | 2.34 Bn |
| Dec 31, 2021 | 1.17 Bn |
API Access
Cboe Global Markets Total Current Liabilities 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=total-current-liabilities&ticker=CBOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=CBOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();