Cme (CME) Total Liabilities (2009 - 2026)
Cme (CME) reported Total Liabilities of $168.16 billion for Q2 2026, up 10.5% from $152.17 billion a year earlier but down 4.1% from the prior quarter.
Analysis
Cme (CME) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Cme posted Total Liabilities of $169.7 billion, up 52.9% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- By year, Total Liabilities came in at $110.96 billion in FY2024 (+7.8%), $102.97 billion in FY2023 (-30.1%), $147.3 billion in FY2022 (-13.0%) and $169.38 billion in FY2021 (+72.3%).
- Five-year quarterly Total Liabilities spans a low of $95.74 billion in Q2 2024 and a high of $178.18 billion in Q1 2022.
- Year over year, Total Liabilities has now increased in each of the last eight quarters, with growth averaging 30.8% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q4 2021 (growth of 72.3%); the low point was Q3 2023 (a decline of 35.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $175.38 billion (Q1 2026), $169.7 billion (Q4 2025) and $158.95 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 47.01 Bn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 479.76 Bn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 168.16 Bn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 144.63 Bn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 15.35 Bn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | - |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 225.06 Bn |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 165.90 Bn |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 4.98 Bn |
| 10 | LPL Financial Holdings | 24.62 Bn | 19.94 Bn | - | 14.03 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168.16 Bn |
| Mar 31, 2026 | 175.38 Bn |
| Dec 31, 2025 | 169.70 Bn |
| Sep 30, 2025 | 158.95 Bn |
| Jun 30, 2025 | 152.17 Bn |
| Mar 31, 2025 | 130.80 Bn |
| Dec 31, 2024 | 110.96 Bn |
| Sep 30, 2024 | 109.58 Bn |
| Jun 30, 2024 | 95.74 Bn |
| Mar 31, 2024 | 104.90 Bn |
| Dec 31, 2023 | 102.97 Bn |
| Sep 30, 2023 | 97.45 Bn |
| Jun 30, 2023 | 123.48 Bn |
| Mar 31, 2023 | 138.65 Bn |
| Dec 31, 2022 | 147.30 Bn |
| Sep 30, 2022 | 150.18 Bn |
| Jun 30, 2022 | 148.67 Bn |
| Mar 31, 2022 | 178.18 Bn |
| Dec 31, 2021 | 169.38 Bn |
| Sep 30, 2021 | 159.49 Bn |
API Access
Cme Total 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-liabilities&ticker=CME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=CME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();