Intercontinental Exchange (ICE) Interest Expenses (2013 - 2026)
Intercontinental Exchange's Interest Expenses came in at $205 million for Q2 2026, up 2.0% from $201 million a year earlier and up 1.0% from the prior quarter.
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Analysis
Intercontinental Exchange (ICE) Interest Expenses (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Intercontinental Exchange reported Interest Expenses of $804 million, down 4.6% year-over-year; for FY2025, it was $803 million, down 11.8% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $910 million in FY2024 (+12.6%), $808 million in FY2023 (+31.2%), $616 million in FY2022 (+45.6%) and $423 million in FY2021 (+18.5%).
- The Q2 2026 figure represents the highest quarterly Interest Expenses since Q1 2025.
- Year-over-year, Interest Expenses increased in two of the last eight quarters, with an average decline of 6.6%.
- The fastest year-over-year change in Interest Expenses over five years came in Q4 2022 (growth of 72.5%), and the weakest in Q4 2024 (a decline of 15.1%).
- Business Quant data shows ICE's Interest Expenses at $203 million (Q1 2026), $204 million (Q4 2025) and $192 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | 159.00 Mn |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | 4.49 Bn |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | 43.60 Mn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | 205.00 Mn |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | 86.00 Mn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | 1.98 Bn |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | 1.18 Bn |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | 1.51 Bn |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | 13.20 Mn |
| 10 | LPL Financial Holdings | 24.08 Bn | 19.40 Bn | - | 101.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 205.00 Mn |
| Mar 31, 2026 | 203.00 Mn |
| Dec 31, 2025 | 204.00 Mn |
| Sep 30, 2025 | 192.00 Mn |
| Jun 30, 2025 | 201.00 Mn |
| Mar 31, 2025 | 206.00 Mn |
| Dec 31, 2024 | 213.00 Mn |
| Sep 30, 2024 | 223.00 Mn |
| Jun 30, 2024 | 233.00 Mn |
| Mar 31, 2024 | 241.00 Mn |
| Dec 31, 2023 | 251.00 Mn |
| Sep 30, 2023 | 206.00 Mn |
| Jun 30, 2023 | 175.00 Mn |
| Mar 31, 2023 | 176.00 Mn |
| Dec 31, 2022 | 176.00 Mn |
| Sep 30, 2022 | 176.00 Mn |
| Jun 30, 2022 | 161.00 Mn |
| Mar 31, 2022 | 103.00 Mn |
| Dec 31, 2021 | 102.00 Mn |
| Sep 30, 2021 | 108.00 Mn |
API Access
Intercontinental Exchange Interest Expenses 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=interest-expenses&ticker=ICE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=ICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();