Conmed (CNMD) Research & Development (2010 - 2026)
Conmed's Research & Development was $15.5 million in Q2 2026, up 9.6% from $14.14 million a year earlier but down 5.1% from the prior quarter.
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Analysis
Conmed (CNMD) Research & Development (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Conmed's Research & Development was $60.63 million through Jun 30, 2026, up 12.7% year-over-year; for FY2025, it was $55.88 million, up 2.7% from FY2024.
- Research & Development has now increased for five consecutive years, with a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- In earlier years, Research & Development was $54.43 million in FY2024 (+3.5%), $52.6 million in FY2023 (+11.6%), $47.15 million in FY2022 (+8.2%) and $43.57 million in FY2021 (+7.6%).
- Quarterly Research & Development has moved between $10.67 million (Q1 2022) and $16.33 million (Q1 2026) over five years.
- Compared with a year earlier, Research & Development has increased for five straight quarters, with growth averaging 6.2% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q1 2026 (growth of 26.2%); the worst was Q4 2024 (a decline of 6.1%).
- Per Business Quant data, CNMD's Research & Development in the three quarters before Q2 2026 was $16.33 million (Q1 2026), $14.9 million (Q4 2025) and $13.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 278.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 258.00 Mn |
| 10 | Conmed | 1.40 Bn | 1.25 Bn | 197.46 Mn | 15.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.50 Mn |
| Mar 31, 2026 | 16.33 Mn |
| Dec 31, 2025 | 14.90 Mn |
| Sep 30, 2025 | 13.90 Mn |
| Jun 30, 2025 | 14.14 Mn |
| Mar 31, 2025 | 12.95 Mn |
| Dec 31, 2024 | 13.18 Mn |
| Sep 30, 2024 | 13.56 Mn |
| Jun 30, 2024 | 14.10 Mn |
| Mar 31, 2024 | 13.59 Mn |
| Dec 31, 2023 | 14.03 Mn |
| Sep 30, 2023 | 12.46 Mn |
| Jun 30, 2023 | 13.57 Mn |
| Mar 31, 2023 | 12.54 Mn |
| Dec 31, 2022 | 12.22 Mn |
| Sep 30, 2022 | 12.77 Mn |
| Jun 30, 2022 | 11.49 Mn |
| Mar 31, 2022 | 10.67 Mn |
| Dec 31, 2021 | 11.36 Mn |
| Sep 30, 2021 | 10.86 Mn |
API Access
Conmed Research & Development 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=research-and-development&ticker=CNMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();