Conmed (CNMD) Cost of Revenue (2010 - 2026)
Conmed (CNMD) posted Cost of Revenue of $146.03 million for Q2 2026, down 5.2% from $154.03 million a year earlier but up 9.3% from the prior quarter.
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Analysis
Conmed (CNMD) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Conmed was $606.35 million, up 4.0% year-over-year; for FY2025, it was $624.25 million, up 8.8% from FY2024.
- Annual Cost of Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- In prior years, Conmed's Cost of Revenue was $573.98 million in FY2024 (+1.0%), $568.5 million in FY2023 (+19.9%), $474.23 million in FY2022 (+7.1%) and $442.6 million in FY2021 (+10.1%).
- Quarterly Cost of Revenue has run from a low of $106.34 million in Q1 2022 to a high of $171.81 million in Q3 2025 over five years.
- On a year-over-year basis, Cost of Revenue increased in six of the last eight quarters, with growth averaging 3.3%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q1 2023, with growth of 31.8%; the weakest was Q1 2026, with a decline of 6.9%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $133.6 million (Q1 2026), $154.91 million (Q4 2025) and $171.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Conmed | 1.39 Bn | 1.23 Bn | 197.46 Mn | 146.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 146.03 Mn |
| Mar 31, 2026 | 133.60 Mn |
| Dec 31, 2025 | 154.91 Mn |
| Sep 30, 2025 | 171.81 Mn |
| Jun 30, 2025 | 154.03 Mn |
| Mar 31, 2025 | 143.50 Mn |
| Dec 31, 2024 | 147.60 Mn |
| Sep 30, 2024 | 137.71 Mn |
| Jun 30, 2024 | 148.37 Mn |
| Mar 31, 2024 | 140.31 Mn |
| Dec 31, 2023 | 144.87 Mn |
| Sep 30, 2023 | 136.52 Mn |
| Jun 30, 2023 | 146.96 Mn |
| Mar 31, 2023 | 140.15 Mn |
| Dec 31, 2022 | 119.01 Mn |
| Sep 30, 2022 | 123.47 Mn |
| Jun 30, 2022 | 125.41 Mn |
| Mar 31, 2022 | 106.34 Mn |
| Dec 31, 2021 | 118.11 Mn |
| Sep 30, 2021 | 106.52 Mn |
API Access
Conmed Cost of Revenue 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=cost-of-revenue&ticker=CNMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();