Conmed (CNMD) Operating Expenses (2010 - 2026)
Conmed (CNMD) posted Operating Expenses of $161.05 million for Q2 2026, up 7.3% from $150.16 million a year earlier and up 1.9% from the prior quarter.
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Analysis
Conmed (CNMD) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Conmed was $654.99 million, up 14.7% year-over-year; for FY2025, it came in at $647.85 million, up 21.6% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- In prior years, Conmed's Operating Expenses was $532.71 million in FY2024 (-4.1%), $555.64 million in FY2023 (+10.9%), $501.19 million in FY2022 (+9.4%) and $458.32 million in FY2021 (+10.6%).
- Quarterly Operating Expenses has run from a low of $113.29 million in Q3 2024 to a high of $181.66 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 10.8%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2025, with growth of 36.1%; the weakest was Q3 2024, with a decline of 17.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $158.03 million (Q1 2026), $181.66 million (Q4 2025) and $154.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Conmed | 1.40 Bn | 1.25 Bn | 197.46 Mn | 161.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 161.05 Mn |
| Mar 31, 2026 | 158.03 Mn |
| Dec 31, 2025 | 181.66 Mn |
| Sep 30, 2025 | 154.24 Mn |
| Jun 30, 2025 | 150.16 Mn |
| Mar 31, 2025 | 161.79 Mn |
| Dec 31, 2024 | 145.85 Mn |
| Sep 30, 2024 | 113.29 Mn |
| Jun 30, 2024 | 136.62 Mn |
| Mar 31, 2024 | 136.95 Mn |
| Dec 31, 2023 | 131.99 Mn |
| Sep 30, 2023 | 137.76 Mn |
| Jun 30, 2023 | 143.27 Mn |
| Mar 31, 2023 | 142.62 Mn |
| Dec 31, 2022 | 132.96 Mn |
| Sep 30, 2022 | 127.37 Mn |
| Jun 30, 2022 | 127.32 Mn |
| Mar 31, 2022 | 113.55 Mn |
| Dec 31, 2021 | 118.64 Mn |
| Sep 30, 2021 | 115.60 Mn |
API Access
Conmed Operating Expenses 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=operating-expenses&ticker=CNMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();