Apyx Medical (APYX) Non-Current Assets (2010 - 2026)
Apyx Medical (APYX) posted Non-Current Assets of $7.92 million for Q2 2026, down 4.3% from $8.27 million a year earlier and down 3.8% from the prior quarter.
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Analysis
Apyx Medical (APYX) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Apyx Medical's Non-Current Assets came in at $8.37 million, down 0.4% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- In prior years, Apyx Medical's Non-Current Assets was $8.4 million in FY2024 (-5.4%), $8.88 million in FY2023 (+0.9%), $8.8 million in FY2022 (+10.3%) and $7.98 million in FY2021 (-0.5%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Assets since Q1 2023.
- On a year-over-year basis, Non-Current Assets has declined in each of the last three quarters, with an average decline of 3.7% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q1 2024, with growth of 114.3%; the weakest was Q1 2023, with a decline of 49.9%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $8.23 million (Q1 2026), $8.37 million (Q4 2025) and $8.58 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Apyx Medical | 109.63 Mn | -6.00 Mn | 8.87 Mn | 7.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.92 Mn |
| Mar 31, 2026 | 8.23 Mn |
| Dec 31, 2025 | 8.37 Mn |
| Sep 30, 2025 | 8.58 Mn |
| Jun 30, 2025 | 8.27 Mn |
| Mar 31, 2025 | 8.31 Mn |
| Dec 31, 2024 | 8.40 Mn |
| Sep 30, 2024 | 8.56 Mn |
| Jun 30, 2024 | 8.72 Mn |
| Mar 31, 2024 | 8.79 Mn |
| Dec 31, 2023 | 8.88 Mn |
| Sep 30, 2023 | 9.30 Mn |
| Jun 30, 2023 | 9.54 Mn |
| Mar 31, 2023 | 4.10 Mn |
| Dec 31, 2022 | 8.80 Mn |
| Sep 30, 2022 | 8.96 Mn |
| Jun 30, 2022 | 8.95 Mn |
| Mar 31, 2022 | 8.19 Mn |
| Dec 31, 2021 | 7.98 Mn |
| Sep 30, 2021 | 7.89 Mn |
API Access
Apyx Medical Non-Current Assets 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=non-current-assets&ticker=APYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=APYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();