Conmed (CNMD) Capital Expenditures (2010 - 2026)
Conmed's Capital Expenditures came in at $2.93 million for Q2 2026, down 48.8% from $5.73 million a year earlier but up 1.5% from the prior quarter.
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Analysis
Conmed (CNMD) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Conmed reported Capital Expenditures of $16.12 million, down 5.0% year-over-year; for FY2025, it came in at $19.81 million, up 51.4% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $13.08 million in FY2024 (-31.3%), $19.03 million in FY2023 (-12.6%), $21.79 million in FY2022 (+46.5%) and $14.87 million in FY2021 (+14.2%).
- The five-year range for quarterly Capital Expenditures is $2.04 million (Q1 2024) to $6.71 million (Q3 2022).
- Year-over-year, Capital Expenditures increased in four of the last eight quarters, with growth averaging 12.2%.
- The fastest year-over-year change in Capital Expenditures over five years came in Q2 2022 (growth of 90.7%), and the weakest in Q1 2024 (a decline of 52.2%).
- Business Quant data shows CNMD's Capital Expenditures at $2.89 million (Q1 2026), $5.11 million (Q4 2025) and $5.19 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Conmed | 1.39 Bn | 1.23 Bn | 197.46 Mn | 2.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.93 Mn |
| Mar 31, 2026 | 2.89 Mn |
| Dec 31, 2025 | 5.11 Mn |
| Sep 30, 2025 | 5.19 Mn |
| Jun 30, 2025 | 5.73 Mn |
| Mar 31, 2025 | 3.78 Mn |
| Dec 31, 2024 | 4.04 Mn |
| Sep 30, 2024 | 3.42 Mn |
| Jun 30, 2024 | 3.59 Mn |
| Mar 31, 2024 | 2.04 Mn |
| Dec 31, 2023 | 4.86 Mn |
| Sep 30, 2023 | 5.39 Mn |
| Jun 30, 2023 | 4.53 Mn |
| Mar 31, 2023 | 4.25 Mn |
| Dec 31, 2022 | 5.68 Mn |
| Sep 30, 2022 | 6.71 Mn |
| Jun 30, 2022 | 5.71 Mn |
| Mar 31, 2022 | 3.69 Mn |
| Dec 31, 2021 | 3.19 Mn |
| Sep 30, 2021 | 5.58 Mn |
API Access
Conmed Capital Expenditures 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=capital-expenditures&ticker=CNMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=CNMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();