Conmed (CNMD) Intangibles (2010 - 2026)
Conmed's Intangibles came in at $564.42 million for Q2 2026, down 6.2% from $601.82 million a year earlier and down 1.6% from the prior quarter.
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Analysis
Conmed (CNMD) Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, Conmed's Intangibles was $582.05 million, down 5.8% from FY2024.
- Intangibles has declined in each of the last three years, though with a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- Going back by year, Intangibles was $617.66 million in FY2024 (-4.9%), $649.48 million in FY2023 (-4.7%), $681.8 million in FY2022 (+44.7%) and $471.05 million in FY2021 (-6.1%).
- The Q2 2026 figure represents the lowest quarterly Intangibles since Q2 2022.
- Year-over-year, Intangibles has declined for 12 consecutive quarters, with an average decline of 5.3% over the last eight quarters.
- The fastest year-over-year change in Intangibles over five years came in Q1 2023 (growth of 45.3%), and the weakest in Q2 2026 (a decline of 6.2%).
- Business Quant data shows CNMD's Intangibles at $573.8 million (Q1 2026), $582.05 million (Q4 2025) and $593.11 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 18.61 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 17.21 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 21.36 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.14 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 10.24 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 5.74 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 6.92 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.38 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 448.00 Mn |
| 10 | Conmed | 1.39 Bn | 1.23 Bn | 197.46 Mn | 564.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 564.42 Mn |
| Mar 31, 2026 | 573.80 Mn |
| Dec 31, 2025 | 582.05 Mn |
| Sep 30, 2025 | 593.11 Mn |
| Jun 30, 2025 | 601.82 Mn |
| Mar 31, 2025 | 609.83 Mn |
| Dec 31, 2024 | 617.66 Mn |
| Sep 30, 2024 | 625.57 Mn |
| Jun 30, 2024 | 633.24 Mn |
| Mar 31, 2024 | 641.31 Mn |
| Dec 31, 2023 | 649.48 Mn |
| Sep 30, 2023 | 657.35 Mn |
| Jun 30, 2023 | 665.58 Mn |
| Mar 31, 2023 | 673.54 Mn |
| Dec 31, 2022 | 681.80 Mn |
| Sep 30, 2022 | 689.45 Mn |
| Jun 30, 2022 | 519.32 Mn |
| Mar 31, 2022 | 463.42 Mn |
| Dec 31, 2021 | 471.05 Mn |
| Sep 30, 2021 | 478.86 Mn |
API Access
Conmed Intangibles 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=intangibles&ticker=CNMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();