Conmed (CNMD) Inventory (2010 - 2026)
Conmed (CNMD) reported Inventory of $360.18 million for Q2 2026, down 0.6% from $362.25 million a year earlier and down 1.6% from the prior quarter.
Powered by 
Analysis
Conmed (CNMD) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Conmed posted Inventory of $355.54 million, up 2.5% from FY2024.
- Inventory has a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- By year, Inventory came in at $346.72 million in FY2024 (+8.9%), $318.32 million in FY2023 (-4.2%), $332.32 million in FY2022 (+43.5%) and $231.64 million in FY2021 (+18.9%).
- Five-year quarterly Inventory spans a low of $228.57 million in Q3 2021 and a high of $366.11 million in Q1 2026.
- Year over year, Inventory gained in seven of the last eight quarters, with growth averaging 6.0%.
- The high point for year-over-year Inventory in five years was Q4 2022 (growth of 43.5%); the low point was Q4 2023 (a decline of 4.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $366.11 million (Q1 2026), $355.54 million (Q4 2025) and $364.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.13 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 3.32 Bn |
| 10 | Conmed | 1.40 Bn | 1.25 Bn | 197.46 Mn | 360.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 360.18 Mn |
| Mar 31, 2026 | 366.11 Mn |
| Dec 31, 2025 | 355.54 Mn |
| Sep 30, 2025 | 364.36 Mn |
| Jun 30, 2025 | 362.25 Mn |
| Mar 31, 2025 | 354.68 Mn |
| Dec 31, 2024 | 346.72 Mn |
| Sep 30, 2024 | 342.55 Mn |
| Jun 30, 2024 | 322.36 Mn |
| Mar 31, 2024 | 322.30 Mn |
| Dec 31, 2023 | 318.32 Mn |
| Sep 30, 2023 | 325.82 Mn |
| Jun 30, 2023 | 327.31 Mn |
| Mar 31, 2023 | 335.37 Mn |
| Dec 31, 2022 | 332.32 Mn |
| Sep 30, 2022 | 304.81 Mn |
| Jun 30, 2022 | 289.71 Mn |
| Mar 31, 2022 | 253.73 Mn |
| Dec 31, 2021 | 231.64 Mn |
| Sep 30, 2021 | 228.57 Mn |
API Access
Conmed Inventory 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=inventory&ticker=CNMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();