Conmed (CNMD) Revenue (2010 - 2026)
Conmed's Revenue came in at $343.49 million for Q2 2026, up 0.3% from $342.35 million a year earlier and up 8.3% from the prior quarter.
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Analysis
Conmed (CNMD) Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Conmed reported Revenue of $1.37 billion, up 3.4% year-over-year; for FY2025, it came in at $1.37 billion, up 5.2% from FY2024.
- Revenue has increased in each of the last five years, with a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- Going back by year, Revenue was $1.31 billion in FY2024 (+5.0%), $1.24 billion in FY2023 (+19.1%), $1.05 billion in FY2022 (+3.4%) and $1.01 billion in FY2021 (+17.2%).
- The five-year range for quarterly Revenue is $242.33 million (Q1 2022) to $373.2 million (Q4 2025).
- Year-over-year, Revenue increased in seven of the last eight quarters, with growth averaging 3.7%.
- The fastest year-over-year change in Revenue over five years came in Q4 2023 (growth of 30.4%), and the weakest in Q4 2022 (a decline of 8.4%).
- Business Quant data shows CNMD's Revenue at $317.05 million (Q1 2026), $373.2 million (Q4 2025) and $337.93 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.74 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.98 Bn |
| 10 | Conmed | 1.40 Bn | 1.25 Bn | 197.46 Mn | 343.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 343.49 Mn |
| Mar 31, 2026 | 317.05 Mn |
| Dec 31, 2025 | 373.20 Mn |
| Sep 30, 2025 | 337.93 Mn |
| Jun 30, 2025 | 342.35 Mn |
| Mar 31, 2025 | 321.26 Mn |
| Dec 31, 2024 | 345.94 Mn |
| Sep 30, 2024 | 316.70 Mn |
| Jun 30, 2024 | 332.10 Mn |
| Mar 31, 2024 | 312.27 Mn |
| Dec 31, 2023 | 327.05 Mn |
| Sep 30, 2023 | 304.58 Mn |
| Jun 30, 2023 | 317.65 Mn |
| Mar 31, 2023 | 295.47 Mn |
| Dec 31, 2022 | 250.87 Mn |
| Sep 30, 2022 | 275.09 Mn |
| Jun 30, 2022 | 277.19 Mn |
| Mar 31, 2022 | 242.33 Mn |
| Dec 31, 2021 | 273.97 Mn |
| Sep 30, 2021 | 248.83 Mn |
API Access
Conmed 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=revenue&ticker=CNMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();