Conmed (CNMD) Return on Sales [ROS] (2010 - 2026)
Conmed's Return on Sales [ROS] was 10.60% in Q2 2026, down 0.55 percentage points from 11.15% a year earlier but up 2.58 percentage points from the prior quarter.
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Analysis
Conmed (CNMD) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Conmed's Return on Sales [ROS] was 8.04% through Jun 30, 2026, down 4.95 percentage points year-over-year; for FY2025, it was 7.46%, down 7.86 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +2.13 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 15.33% in FY2024 (+5.64 pp), 9.69% in FY2023 (+2.99 pp), 6.70% in FY2022 (-4.16 pp) and 10.86% in FY2021 (+5.52 pp).
- Quarterly Return on Sales [ROS] has moved between -0.44% (Q4 2022) and 20.75% (Q3 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in two of the last eight quarters, with an average year-over-year change of -2.34 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2023 (a gain of 15.78 percentage points); the worst was Q3 2025 (a drop of 17.23 percentage points).
- Per Business Quant data, CNMD's Return on Sales [ROS] in the three quarters before Q2 2026 was 8.02% (Q1 2026), 9.81% (Q4 2025) and 3.52% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | Conmed | 1.39 Bn | 1.23 Bn | 197.46 Mn | 10.60% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.60% |
| Mar 31, 2026 | 8.02% |
| Dec 31, 2025 | 9.81% |
| Sep 30, 2025 | 3.52% |
| Jun 30, 2025 | 11.15% |
| Mar 31, 2025 | 4.97% |
| Dec 31, 2024 | 15.18% |
| Sep 30, 2024 | 20.75% |
| Jun 30, 2024 | 14.18% |
| Mar 31, 2024 | 11.21% |
| Dec 31, 2023 | 15.35% |
| Sep 30, 2023 | 9.95% |
| Jun 30, 2023 | 8.63% |
| Mar 31, 2023 | 4.30% |
| Dec 31, 2022 | -0.44% |
| Sep 30, 2022 | 8.81% |
| Jun 30, 2022 | 8.82% |
| Mar 31, 2022 | 9.26% |
| Dec 31, 2021 | 13.58% |
| Sep 30, 2021 | 10.73% |
API Access
Conmed 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=CNMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CNMD", "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=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();