Conmed (CNMD) Property, Plant & Equipment (Net) (2010 - 2026)
Conmed (CNMD) reported Property, Plant & Equipment (Net) of $110.14 million for Q2 2026, down 5.7% from $116.86 million a year earlier and down 1.6% from the prior quarter.
Powered by 
Analysis
Conmed (CNMD) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Conmed posted Property, Plant & Equipment (Net) of $113.33 million, down 2.1% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $115.79 million in FY2024 (-4.1%), $120.72 million in FY2023 (+4.4%), $115.61 million in FY2022 (+6.2%) and $108.86 million in FY2021 (-2.3%).
- The Q2 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q1 2022.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last eight quarters, with an average decline of 3.0% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q1 2023 (growth of 6.3%); the low point was Q2 2026 (a decline of 5.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $111.96 million (Q1 2026), $113.33 million (Q4 2025) and $112.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 1.84 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.08 Bn |
| 10 | Conmed | 1.39 Bn | 1.23 Bn | 197.46 Mn | 110.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 110.14 Mn |
| Mar 31, 2026 | 111.96 Mn |
| Dec 31, 2025 | 113.33 Mn |
| Sep 30, 2025 | 112.04 Mn |
| Jun 30, 2025 | 116.86 Mn |
| Mar 31, 2025 | 116.06 Mn |
| Dec 31, 2024 | 115.79 Mn |
| Sep 30, 2024 | 117.42 Mn |
| Jun 30, 2024 | 117.09 Mn |
| Mar 31, 2024 | 117.95 Mn |
| Dec 31, 2023 | 120.72 Mn |
| Sep 30, 2023 | 120.44 Mn |
| Jun 30, 2023 | 116.79 Mn |
| Mar 31, 2023 | 115.36 Mn |
| Dec 31, 2022 | 115.61 Mn |
| Sep 30, 2022 | 113.72 Mn |
| Jun 30, 2022 | 111.59 Mn |
| Mar 31, 2022 | 108.53 Mn |
| Dec 31, 2021 | 108.86 Mn |
| Sep 30, 2021 | 109.18 Mn |
API Access
Conmed Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=CNMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();