Apyx Medical (APYX) Return on Assets [ROA] (2011 - 2026)
Apyx Medical's Return on Assets [ROA] was -13.55% in Q2 2026, up 15.67 percentage points from -29.22% a year earlier and up 0.42 percentage points from the prior quarter.
Apyx Medical (APYX) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2025, Return on Assets [ROA] at Apyx Medical came in at -16.87%, up 15.84 percentage points from FY2024.
- Return on Assets [ROA] shows a five-year change of -1.88 percentage points (FY2020 to FY2025).
- In earlier years, Return on Assets [ROA] was -32.70% in FY2024 (-3.93 pp), -28.78% in FY2023 (+9.86 pp), -38.64% in FY2022 (-17.35 pp) and -21.28% in FY2021 (-6.29 pp).
- The Q2 2026 figure marks the highest quarterly Return on Assets [ROA] since Q1 2019.
- Compared with a year earlier, Return on Assets [ROA] has increased for five straight quarters, with an average year-over-year change of +6.77 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Assets [ROA] over five years was Q3 2025 (a gain of 20.10 percentage points); the worst was Q4 2022 (a drop of 21.22 percentage points).
- Per Business Quant data, APYX's Return on Assets [ROA] in the three quarters before Q2 2026 was -13.98% (Q1 2026), -17.88% (Q4 2025) and -25.14% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 6.17% |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 4.94% |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 4.54% |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 15.41% |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 5.66% |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | -1.94% |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 8.19% |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 1.85% |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 7.38% |
| 10 | Apyx Medical | 109.63 Mn | -6.00 Mn | 8.87 Mn | -13.55% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -13.55% |
| Mar 31, 2026 | -13.98% |
| Dec 31, 2025 | -17.88% |
| Sep 30, 2025 | -25.14% |
| Jun 30, 2025 | -29.22% |
| Mar 31, 2025 | -32.23% |
| Dec 31, 2024 | -37.53% |
| Sep 30, 2024 | -45.23% |
| Jun 30, 2024 | -41.84% |
| Mar 31, 2024 | -30.55% |
| Dec 31, 2023 | -27.18% |
| Sep 30, 2023 | -25.09% |
| Jun 30, 2023 | -27.53% |
| Mar 31, 2023 | -38.40% |
| Dec 31, 2022 | -43.49% |
| Sep 30, 2022 | -33.51% |
| Jun 30, 2022 | -28.84% |
| Mar 31, 2022 | -24.69% |
| Dec 31, 2021 | -22.27% |
| Sep 30, 2021 | -21.43% |
Apyx Medical Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=APYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=APYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();