Apyx Medical (APYX) Net Margin (2011 - 2026)
Apyx Medical (APYX) posted Net Margin of -23.36% for Q2 2026, up 9.86 percentage points from -33.22% a year earlier but down 6.48 percentage points from the prior quarter.
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Analysis
Apyx Medical (APYX) Net Margin (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Margin at Apyx Medical was -14.78%, up 22.33 percentage points year-over-year; for FY2025, it was -21.22%, up 27.56 percentage points from FY2024.
- Annual Net Margin shows a five-year change of +21.71 percentage points (FY2020 to FY2025).
- In prior years, Apyx Medical's Net Margin was -48.78% in FY2024 (-13.03 pp), -35.75% in FY2023 (+16.34 pp), -52.09% in FY2022 (-20.82 pp) and -31.27% in FY2021 (+11.66 pp).
- Quarterly Net Margin has run from a low of -73.96% in Q1 2024 to a high of -6.78% in Q4 2025 over five years.
- On a year-over-year basis, Net Margin has increased in each of the last seven quarters, with an average year-over-year change of +21.21 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Net Margin in the past five years was Q2 2023, with a gain of 45.40 percentage points; the weakest was Q2 2024, with a drop of 46.64 percentage points.
- According to Business Quant data, Net Margin for the three prior quarters was -16.88% (Q1 2026), -6.78% (Q4 2025) and -15.41% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 14.47% |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 7.37% |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 13.89% |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 28.29% |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 15.07% |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 19.37% |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 16.67% |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 13.89% |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 7.57% |
| 10 | Apyx Medical | 109.50 Mn | -5.70 Mn | 8.87 Mn | -23.36% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -23.36% |
| Mar 31, 2026 | -16.88% |
| Dec 31, 2025 | -6.78% |
| Sep 30, 2025 | -15.41% |
| Jun 30, 2025 | -33.22% |
| Mar 31, 2025 | -44.01% |
| Dec 31, 2024 | -32.54% |
| Sep 30, 2024 | -40.94% |
| Jun 30, 2024 | -53.96% |
| Mar 31, 2024 | -73.96% |
| Dec 31, 2023 | -65.52% |
| Sep 30, 2023 | -38.65% |
| Jun 30, 2023 | -7.33% |
| Mar 31, 2023 | -28.69% |
| Dec 31, 2022 | -47.97% |
| Sep 30, 2022 | -63.24% |
| Jun 30, 2022 | -52.72% |
| Mar 31, 2022 | -47.59% |
| Dec 31, 2021 | -11.91% |
| Sep 30, 2021 | -35.69% |
API Access
Apyx Medical Net Margin 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=net-margin&ticker=APYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=APYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();