Intercontinental Exchange (ICE) EBITDA (2013 - 2026)
Intercontinental Exchange's EBITDA was $1.78 billion in Q2 2026, up 5.2% from $1.69 billion a year earlier but down 13.1% from the prior quarter.
Intercontinental Exchange (ICE) EBITDA (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Intercontinental Exchange's EBITDA was $7.02 billion through Jun 30, 2026, up 12.1% year-over-year; for FY2025, it was $6.49 billion, up 11.0% from FY2024.
- EBITDA has now increased for 12 consecutive years, with a five-year compound annual growth rate of 11.4% (FY2020 to FY2025).
- In earlier years, EBITDA was $5.85 billion in FY2024 (+19.1%), $4.91 billion in FY2023 (+5.1%), $4.67 billion in FY2022 (+4.7%) and $4.46 billion in FY2021 (+17.8%).
- Quarterly EBITDA has moved between $1.13 billion (Q2 2022) and $2.05 billion (Q1 2026) over five years.
- Compared with a year earlier, EBITDA has increased for 11 straight quarters, with growth averaging 14.8% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q3 2021 (growth of 40.1%); the worst was Q3 2023 (a decline of 1.5%).
- Per Business Quant data, ICE's EBITDA in the three quarters before Q2 2026 was $2.05 billion (Q1 2026), $1.63 billion (Q4 2025) and $1.56 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 891.00 Mn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 7.16 Bn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 1.19 Bn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 1.78 Bn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 877.00 Mn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 3.57 Bn |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 2.65 Bn |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 2.78 Bn |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 504.10 Mn |
| 10 | LPL Financial Holdings | 24.62 Bn | 19.94 Bn | - | 797.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.78 Bn |
| Mar 31, 2026 | 2.05 Bn |
| Dec 31, 2025 | 1.63 Bn |
| Sep 30, 2025 | 1.56 Bn |
| Jun 30, 2025 | 1.69 Bn |
| Mar 31, 2025 | 1.61 Bn |
| Dec 31, 2024 | 1.47 Bn |
| Sep 30, 2024 | 1.49 Bn |
| Jun 30, 2024 | 1.45 Bn |
| Mar 31, 2024 | 1.44 Bn |
| Dec 31, 2023 | 1.30 Bn |
| Sep 30, 2023 | 1.15 Bn |
| Jun 30, 2023 | 1.22 Bn |
| Mar 31, 2023 | 1.23 Bn |
| Dec 31, 2022 | 1.13 Bn |
| Sep 30, 2022 | 1.17 Bn |
| Jun 30, 2022 | 1.13 Bn |
| Mar 31, 2022 | 1.25 Bn |
| Dec 31, 2021 | 1.13 Bn |
| Sep 30, 2021 | 1.13 Bn |
Intercontinental Exchange EBITDA 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=ebitda&ticker=ICE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();