Conmed (CNMD) Return on Capital Employed [ROCE] (2011 - 2026)
Conmed (CNMD) reported Return on Capital Employed [ROCE] of 5.96% for Q2 2026, down 2.58 percentage points from 8.54% a year earlier but up 0.43 percentage points from the prior quarter.
Conmed (CNMD) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Conmed posted Return on Capital Employed [ROCE] of 5.13%, down 4.76 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of +2.20 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at 9.89% in FY2024 (+3.83 pp), 6.07% in FY2023 (+2.03 pp), 4.04% in FY2022 (-2.99 pp) and 7.02% in FY2021 (+4.10 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of 3.03% in Q1 2023 and a high of 9.85% in Q4 2024.
- Year over year, Return on Capital Employed [ROCE] has now declined in each of the last four quarters, with an average year-over-year change of -0.28 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q3 2024 (a gain of 6.25 percentage points); the low point was Q4 2025 (a drop of 4.75 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 5.53% (Q1 2026), 5.11% (Q4 2025) and 5.89% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 10.83% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 11.99% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.00% |
| 10 | Conmed | 1.39 Bn | 1.23 Bn | 197.46 Mn | 5.96% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.96% |
| Mar 31, 2026 | 5.53% |
| Dec 31, 2025 | 5.11% |
| Sep 30, 2025 | 5.89% |
| Jun 30, 2025 | 8.54% |
| Mar 31, 2025 | 8.98% |
| Dec 31, 2024 | 9.85% |
| Sep 30, 2024 | 9.81% |
| Jun 30, 2024 | 8.01% |
| Mar 31, 2024 | 7.10% |
| Dec 31, 2023 | 6.02% |
| Sep 30, 2023 | 3.56% |
| Jun 30, 2023 | 3.21% |
| Mar 31, 2023 | 3.03% |
| Dec 31, 2022 | 3.51% |
| Sep 30, 2022 | 5.49% |
| Jun 30, 2022 | 6.41% |
| Mar 31, 2022 | 7.06% |
| Dec 31, 2021 | 7.02% |
| Sep 30, 2021 | 6.17% |
Conmed Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=CNMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();