Apyx Medical (APYX) Return on Capital Employed [ROCE] (2009 - 2026)
Apyx Medical's Return on Capital Employed [ROCE] was -6.71% in Q2 2026, up 18.61 percentage points from -25.32% a year earlier and up 1.05 percentage points from the prior quarter.
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Analysis
Apyx Medical (APYX) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Apyx Medical came in at -11.91%, up 18.83 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now increased for three consecutive years, with a five-year change of +16.67 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -30.73% in FY2024 (+1.98 pp), -32.71% in FY2023 (+15.98 pp), -48.68% in FY2022 (-23.86 pp) and -24.82% in FY2021 (+3.76 pp).
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q1 2013.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for five straight quarters, with an average year-over-year change of +10.62 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q1 2024 (a gain of 36.82 percentage points); the worst was Q1 2023 (a drop of 36.47 percentage points).
- Per Business Quant data, APYX's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -7.76% (Q1 2026), -12.79% (Q4 2025) and -20.31% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 8.51% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 7.18% |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 6.23% |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 18.68% |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 13.86% |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 13.22% |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 9.99% |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 11.59% |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 4.76% |
| 10 | Apyx Medical | 123.42 Mn | 7.56 Mn | 9.00 Mn | -6.49% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -6.49% |
| Jun 30, 2026 | -6.71% |
| Mar 31, 2026 | -7.76% |
| Dec 31, 2025 | -12.79% |
| Sep 30, 2025 | -20.31% |
| Jun 30, 2025 | -25.32% |
| Mar 31, 2025 | -28.84% |
| Dec 31, 2024 | -36.20% |
| Sep 30, 2024 | -40.32% |
| Jun 30, 2024 | -39.32% |
| Mar 31, 2024 | -28.35% |
| Dec 31, 2023 | -30.49% |
| Sep 30, 2023 | -34.39% |
| Jun 30, 2023 | -45.74% |
| Mar 31, 2023 | -65.17% |
| Dec 31, 2022 | -56.54% |
| Sep 30, 2022 | -41.84% |
| Jun 30, 2022 | -35.10% |
| Mar 31, 2022 | -28.71% |
| Dec 31, 2021 | -26.25% |
API Access
Apyx Medical Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=APYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=APYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();