Cme (CME) Total Current Liabilities (2009 - 2026)
Cme's Total Current Liabilities came in at $158.72 billion for Q2 2026, up 11.2% from $142.79 billion a year earlier but down 4.4% from the prior quarter.
Cme (CME) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Cme's Total Current Liabilities was $160.3 billion, up 56.7% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $102.31 billion in FY2024 (+9.5%), $93.42 billion in FY2023 (-32.2%), $137.69 billion in FY2022 (-14.2%) and $160.4 billion in FY2021 (+81.9%).
- The five-year range for quarterly Total Current Liabilities is $86.97 billion (Q2 2024) to $168.46 billion (Q1 2022).
- Year-over-year, Total Current Liabilities has increased for eight consecutive quarters, with growth averaging 33.5% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q4 2021 (growth of 81.9%), and the weakest in Q3 2023 (a decline of 37.5%).
- Business Quant data shows CME's Total Current Liabilities at $166 billion (Q1 2026), $160.3 billion (Q4 2025) and $149.59 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 44.58 Bn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | - |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 158.72 Bn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 120.58 Bn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 4.51 Bn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | - |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | - |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | - |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 3.79 Bn |
| 10 | LPL Financial Holdings | 24.62 Bn | 19.94 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 158.72 Bn |
| Mar 31, 2026 | 166.00 Bn |
| Dec 31, 2025 | 160.30 Bn |
| Sep 30, 2025 | 149.59 Bn |
| Jun 30, 2025 | 142.79 Bn |
| Mar 31, 2025 | 121.42 Bn |
| Dec 31, 2024 | 102.31 Bn |
| Sep 30, 2024 | 100.82 Bn |
| Jun 30, 2024 | 86.97 Bn |
| Mar 31, 2024 | 96.10 Bn |
| Dec 31, 2023 | 93.42 Bn |
| Sep 30, 2023 | 87.88 Bn |
| Jun 30, 2023 | 113.89 Bn |
| Mar 31, 2023 | 129.04 Bn |
| Dec 31, 2022 | 137.69 Bn |
| Sep 30, 2022 | 140.57 Bn |
| Jun 30, 2022 | 139.00 Bn |
| Mar 31, 2022 | 168.46 Bn |
| Dec 31, 2021 | 160.40 Bn |
| Sep 30, 2021 | 150.42 Bn |
Cme 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=CME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "CME", "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=CME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();