Cme (CME) Return on Sales [ROS] (2009 - 2026)
Cme's Return on Sales [ROS] came in at 65.70% for Q3 2026, up 2.45 percentage points from 63.25% a year earlier and up 0.81 percentage points from the prior quarter.
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Analysis
Cme (CME) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Cme reported Return on Sales [ROS] of 65.66%, up 0.68 percentage points year-over-year; for FY2025, it came in at 64.86%, up 0.73 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last six years, with a five-year change of +10.86 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 64.13% in FY2024 (+2.55 pp), 61.58% in FY2023 (+1.50 pp), 60.08% in FY2022 (+3.68 pp) and 56.40% in FY2021 (+2.40 pp).
- The five-year range for quarterly Return on Sales [ROS] is 55.06% (Q4 2021) to 69.66% (Q1 2026).
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +0.96 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2021 (a gain of 8.18 percentage points), and the weakest in Q2 2026 (a drop of 1.86 percentage points).
- Business Quant data shows CME's Return on Sales [ROS] at 64.89% (Q2 2026), 69.66% (Q1 2026) and 61.84% (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 65.70% |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - | 113.77% |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn | 38.84% |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - | 58.57% |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn | 30.59% |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - | 85.91% |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn | 39.32% |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - | 144.98% |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - | 160.10% |
| 10 | Tradeweb Markets | 30.09 Bn | 22.61 Bn | - | 43.36% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 65.70% |
| Jun 30, 2026 | 64.89% |
| Mar 31, 2026 | 69.66% |
| Dec 31, 2025 | 61.84% |
| Sep 30, 2025 | 63.25% |
| Jun 30, 2025 | 66.74% |
| Mar 31, 2025 | 67.47% |
| Dec 31, 2024 | 62.09% |
| Sep 30, 2024 | 64.64% |
| Jun 30, 2024 | 65.29% |
| Mar 31, 2024 | 64.49% |
| Dec 31, 2023 | 59.97% |
| Sep 30, 2023 | 61.31% |
| Jun 30, 2023 | 61.65% |
| Mar 31, 2023 | 63.38% |
| Dec 31, 2022 | 55.33% |
| Sep 30, 2022 | 60.17% |
| Jun 30, 2022 | 60.60% |
| Mar 31, 2022 | 63.80% |
| Dec 31, 2021 | 55.06% |
API Access
Cme 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=CME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CME", "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=CME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();