Conmed (CNMD) Change in Inventory (2010 - 2026)
Conmed (CNMD) posted Change in Inventory of $1.44 million for Q2 2026, down 74.1% from $5.55 million a year earlier and down 88.3% from the prior quarter.
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Analysis
Conmed (CNMD) Change in Inventory (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Inventory at Conmed was $7.41 million, down 80.9% year-over-year; for FY2025, it came in at $6.73 million, down 78.7% from FY2024.
- Annual Change in Inventory shows a five-year compound annual growth rate of -26.0% (FY2020 to FY2025).
- In prior years, Conmed's Change in Inventory was $31.63 million in FY2024, -$14.07 million in FY2023, $78.56 million in FY2022 (+107.8%) and $37.81 million in FY2021 (+24.4%).
- Quarterly Change in Inventory has run from a low of -$8.79 million in Q4 2023 to a high of $26.44 million in Q4 2022 over five years.
- On a year-over-year basis, Change in Inventory increased in three of the last five quarters, with growth averaging 118.8%.
- The strongest year-over-year quarter for Change in Inventory in the past five years was Q4 2022, with growth of 745.5%; the weakest was Q3 2025, with a decline of 88.1%.
- According to Business Quant data, Change in Inventory for the three prior quarters was $12.27 million (Q1 2026), -$8.51 million (Q4 2025) and $2.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 301.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 46.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 248.00 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 113.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 133.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 23.50 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Conmed | 1.39 Bn | 1.23 Bn | 197.46 Mn | 1.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.44 Mn |
| Mar 31, 2026 | 12.27 Mn |
| Dec 31, 2025 | -8.51 Mn |
| Sep 30, 2025 | 2.22 Mn |
| Jun 30, 2025 | 5.55 Mn |
| Mar 31, 2025 | 7.48 Mn |
| Dec 31, 2024 | 7.20 Mn |
| Sep 30, 2024 | 18.64 Mn |
| Jun 30, 2024 | 746,000.00 |
| Mar 31, 2024 | 5.05 Mn |
| Dec 31, 2023 | -8.79 Mn |
| Sep 30, 2023 | -818,000.00 |
| Jun 30, 2023 | -7.48 Mn |
| Mar 31, 2023 | 3.02 Mn |
| Dec 31, 2022 | 26.44 Mn |
| Sep 30, 2022 | 16.58 Mn |
| Jun 30, 2022 | 13.69 Mn |
| Mar 31, 2022 | 21.86 Mn |
| Dec 31, 2021 | 3.13 Mn |
| Sep 30, 2021 | 17.99 Mn |
API Access
Conmed Change in 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=change-in-inventory&ticker=CNMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();