Apyx Medical (APYX) Return on Sales [ROS] (2009 - 2026)
Apyx Medical (APYX) reported Return on Sales [ROS] of -13.01% for Q2 2026, up 9.62 percentage points from -22.63% a year earlier but down 5.71 percentage points from the prior quarter.
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Analysis
Apyx Medical (APYX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Apyx Medical's Return on Sales [ROS] came in at -6.06%, up 20.41 percentage points year-over-year; for FY2025, it was -12.20%, up 26.98 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +60.27 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -39.18% in FY2024 (-6.21 pp), -32.97% in FY2023 (+19.97 pp), -52.94% in FY2022 (-23.16 pp) and -29.78% in FY2021 (+42.69 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -64.57% in Q1 2024 and a high of 0.06% in Q4 2025.
- Year over year, Return on Sales [ROS] has now increased in each of the last eight quarters, with an average year-over-year change of +20.21 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2023 (a gain of 48.96 percentage points); the low point was Q4 2022 (a drop of 36.99 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -7.29% (Q1 2026), 0.06% (Q4 2025) and -6.46% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 18.65% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 10.44% |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 19.00% |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 15.86% |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 16.12% |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 17.44% |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 6.36% |
| 10 | Apyx Medical | 123.42 Mn | 7.56 Mn | 9.00 Mn | -4.07% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -4.07% |
| Jun 30, 2026 | -13.01% |
| Mar 31, 2026 | -7.29% |
| Dec 31, 2025 | -114.82% |
| Sep 30, 2025 | -6.46% |
| Jun 30, 2025 | -22.63% |
| Mar 31, 2025 | -32.35% |
| Dec 31, 2024 | -21.43% |
| Sep 30, 2024 | -31.64% |
| Jun 30, 2024 | -45.66% |
| Mar 31, 2024 | -64.57% |
| Dec 31, 2023 | -39.39% |
| Sep 30, 2023 | -38.72% |
| Jun 30, 2023 | -9.10% |
| Mar 31, 2023 | -46.21% |
| Dec 31, 2022 | -47.05% |
| Sep 30, 2022 | -63.44% |
| Jun 30, 2022 | -58.06% |
| Mar 31, 2022 | -46.99% |
| Dec 31, 2021 | -10.06% |
API Access
Apyx Medical Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=APYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=APYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();