Intercontinental Exchange (ICE) Total Liabilities (2012 - 2026)
Intercontinental Exchange (ICE) posted Total Liabilities of $144.63 billion for Q2 2026, up 25.0% from $115.67 billion a year earlier but down 3.4% from the prior quarter.
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Analysis
Intercontinental Exchange (ICE) Total Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Intercontinental Exchange's Total Liabilities came in at $107.92 billion, down 3.4% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- In prior years, Intercontinental Exchange's Total Liabilities was $111.73 billion in FY2024 (+1.3%), $110.3 billion in FY2023 (-35.7%), $171.58 billion in FY2022 (+0.5%) and $170.75 billion in FY2021 (+60.1%).
- Quarterly Total Liabilities has run from a low of $105.11 billion in Q1 2024 to a high of $192.35 billion in Q2 2022 over five years.
- On a year-over-year basis, Total Liabilities increased in six of the last eight quarters, with growth averaging 8.4%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2022, with growth of 71.9%; the weakest was Q2 2023, with a decline of 41.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $149.65 billion (Q1 2026), $107.92 billion (Q4 2025) and $112.21 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 | 144.63 Bn |
| Mar 31, 2026 | 149.65 Bn |
| Dec 31, 2025 | 107.92 Bn |
| Sep 30, 2025 | 112.21 Bn |
| Jun 30, 2025 | 115.67 Bn |
| Mar 31, 2025 | 114.85 Bn |
| Dec 31, 2024 | 111.73 Bn |
| Sep 30, 2024 | 107.93 Bn |
| Jun 30, 2024 | 110.94 Bn |
| Mar 31, 2024 | 105.11 Bn |
| Dec 31, 2023 | 110.30 Bn |
| Sep 30, 2023 | 111.51 Bn |
| Jun 30, 2023 | 112.39 Bn |
| Mar 31, 2023 | 128.34 Bn |
| Dec 31, 2022 | 171.58 Bn |
| Sep 30, 2022 | 188.87 Bn |
| Jun 30, 2022 | 192.35 Bn |
| Mar 31, 2022 | 185.79 Bn |
| Dec 31, 2021 | 170.75 Bn |
| Sep 30, 2021 | 129.07 Bn |
API Access
Intercontinental Exchange 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=ICE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ICE", "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=ICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();