Apyx Medical (APYX) Property, Plant & Equipment (Net) (2010 - 2026)
Apyx Medical's Property, Plant & Equipment (Net) was $2.11 million in Q2 2026, up 3.0% from $2.05 million a year earlier but down 5.6% from the prior quarter.
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Analysis
Apyx Medical (APYX) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Apyx Medical came in at $2.37 million, up 19.3% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -18.4% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $1.99 million in FY2024 (+3.8%), $1.92 million in FY2023 (-71.7%), $6.76 million in FY2022 (+2.8%) and $6.58 million in FY2021 (+0.5%).
- Quarterly Property, Plant & Equipment (Net) has moved between $1.78 million (Q1 2024) and $6.84 million (Q2 2022) over five years.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for seven straight quarters, with growth averaging 9.2% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q3 2025 (growth of 25.5%); the worst was Q4 2023 (a decline of 71.7%).
- Per Business Quant data, APYX's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $2.24 million (Q1 2026), $2.37 million (Q4 2025) and $2.39 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 248.14 Bn | 227.16 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 179.92 Bn | 150.35 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 160.81 Bn | 144.62 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 156.58 Bn | 136.87 Bn | 2.08 Bn | 5.68 Bn |
| 5 | Medtronic | 123.90 Bn | 89.15 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 118.03 Bn | 104.15 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 67.51 Bn | 62.28 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Becton Dickinson | 54.80 Bn | 51.94 Bn | 2.32 Bn | 6.08 Bn |
| 9 | Edwards Lifesciences | 52.29 Bn | 36.30 Bn | 1.35 Bn | 1.84 Bn |
| 10 | Apyx Medical | 101.50 Mn | -13.70 Mn | 8.87 Mn | 2.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.11 Mn |
| Mar 31, 2026 | 2.24 Mn |
| Dec 31, 2025 | 2.37 Mn |
| Sep 30, 2025 | 2.39 Mn |
| Jun 30, 2025 | 2.05 Mn |
| Mar 31, 2025 | 1.91 Mn |
| Dec 31, 2024 | 1.99 Mn |
| Sep 30, 2024 | 1.91 Mn |
| Jun 30, 2024 | 1.92 Mn |
| Mar 31, 2024 | 1.78 Mn |
| Dec 31, 2023 | 1.92 Mn |
| Sep 30, 2023 | 2.09 Mn |
| Jun 30, 2023 | 2.12 Mn |
| Mar 31, 2023 | 2.11 Mn |
| Dec 31, 2022 | 6.76 Mn |
| Sep 30, 2022 | 6.81 Mn |
| Jun 30, 2022 | 6.84 Mn |
| Mar 31, 2022 | 6.66 Mn |
| Dec 31, 2021 | 6.58 Mn |
| Sep 30, 2021 | 6.41 Mn |
API Access
Apyx Medical 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=APYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "APYX", "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=APYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();