Intercontinental Exchange (ICE) Return on Sales [ROS] (2012 - 2026)
Intercontinental Exchange (ICE) reported Return on Sales [ROS] of 38.52% for 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) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Intercontinental Exchange's Return on Sales [ROS] came in at 40.72%, up 3.30 percentage points year-over-year; for FY2025, it came in at 39.00%, up 2.36 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +2.20 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] 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 ranks as the lowest quarterly Return on Sales [ROS] since Q1 2025.
- Year over year, Return on Sales [ROS] gained in six of the last eight quarters, with an average year-over-year change of +2.26 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2026 (a gain of 7.60 percentage points); the low point was Q4 2021 (a drop of 8.88 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 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) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 66.36% |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 119.30% |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 64.89% |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 38.52% |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 28.12% |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | 83.30% |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 138.98% |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 191.07% |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 32.99% |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - | 11.90% |
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 Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=ICE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=ICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();