Intercontinental Exchange (ICE) Operating Margin (2012 - 2026)
Intercontinental Exchange (ICE) recorded Operating Margin of 38.52% in Q2 2026, down 1.24 percentage points from 39.76% a year earlier and down 6.90 percentage points from the prior quarter.
Intercontinental Exchange (ICE) Operating Margin (2012 - 2026) Analysis & Trends
On a TTM basis, Intercontinental Exchange's Operating Margin came in at 40.72% as of Jun 30, 2026, up 3.30 percentage points year-over-year; for FY2025, it came in at 39.00%, up 2.36 percentage points from FY2024.
- Annual Operating Margin has a five-year change of +2.20 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at 36.64% in FY2024 (-0.66 pp), 37.30% in FY2023 (-0.45 pp), 37.75% in FY2022 (+0.13 pp) and 37.62% in FY2021 (+0.83 pp).
- The Q2 2026 figure is the lowest quarterly Operating Margin since Q1 2025.
- On a year-over-year basis, Operating Margin rose in six of the last eight quarters, with an average year-over-year change of +2.26 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 7.60 percentage points in Q1 2026, against a drop of 8.88 percentage points in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 45.42% (Q1 2026), 39.37% (Q4 2025) and 39.04% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | - |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | - |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 64.89% |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 38.52% |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 28.12% |
| 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 | 32.99% |
| 10 | LPL Financial Holdings | 24.62 Bn | 19.94 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.52% |
| Mar 31, 2026 | 45.42% |
| Dec 31, 2025 | 39.37% |
| Sep 30, 2025 | 39.04% |
| Jun 30, 2025 | 39.76% |
| Mar 31, 2025 | 37.81% |
| Dec 31, 2024 | 35.54% |
| Sep 30, 2024 | 36.37% |
| Jun 30, 2024 | 36.80% |
| Mar 31, 2024 | 37.95% |
| Dec 31, 2023 | 34.70% |
| Sep 30, 2023 | 34.79% |
| Jun 30, 2023 | 40.88% |
| Mar 31, 2023 | 39.20% |
| Dec 31, 2022 | 36.35% |
| Sep 30, 2022 | 38.25% |
| Jun 30, 2022 | 36.01% |
| Mar 31, 2022 | 40.34% |
| Dec 31, 2021 | 37.80% |
| Sep 30, 2021 | 38.56% |
Intercontinental Exchange Operating Margin 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=operating-margin&ticker=ICE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=ICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();