Apyx Medical (APYX) Revenue (2011 - 2026)
Apyx Medical (APYX) posted Revenue of $13.88 million for Q2 2026, up 22.1% from $11.37 million a year earlier and up 11.2% from the prior quarter.
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Analysis
Apyx Medical (APYX) Revenue (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Apyx Medical was $58.42 million, up 25.6% year-over-year; for FY2025, it was $52.84 million, up 9.9% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- In prior years, Apyx Medical's Revenue was $48.1 million in FY2024 (-8.1%), $52.35 million in FY2023 (+17.6%), $44.51 million in FY2022 (-8.3%) and $48.52 million in FY2021 (+75.1%).
- Quarterly Revenue has run from a low of $9.11 million in Q3 2022 to a high of $19.16 million in Q4 2025 over five years.
- On a year-over-year basis, Revenue has increased in each of the last four quarters, with growth averaging 10.0% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q3 2021, with growth of 70.1%; the weakest was Q4 2022, with a decline of 25.0%.
- According to Business Quant data, Revenue for the three prior quarters was $12.49 million (Q1 2026), $19.16 million (Q4 2025) and $12.88 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.74 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.98 Bn |
| 10 | Apyx Medical | 109.50 Mn | -5.70 Mn | 8.87 Mn | 13.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.88 Mn |
| Mar 31, 2026 | 12.49 Mn |
| Dec 31, 2025 | 19.16 Mn |
| Sep 30, 2025 | 12.88 Mn |
| Jun 30, 2025 | 11.37 Mn |
| Mar 31, 2025 | 9.43 Mn |
| Dec 31, 2024 | 14.22 Mn |
| Sep 30, 2024 | 11.49 Mn |
| Jun 30, 2024 | 12.15 Mn |
| Mar 31, 2024 | 10.24 Mn |
| Dec 31, 2023 | 14.66 Mn |
| Sep 30, 2023 | 11.98 Mn |
| Jun 30, 2023 | 13.57 Mn |
| Mar 31, 2023 | 12.14 Mn |
| Dec 31, 2022 | 12.61 Mn |
| Sep 30, 2022 | 9.11 Mn |
| Jun 30, 2022 | 10.29 Mn |
| Mar 31, 2022 | 12.49 Mn |
| Dec 31, 2021 | 16.82 Mn |
| Sep 30, 2021 | 11.83 Mn |
API Access
Apyx Medical Revenue 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=revenue&ticker=APYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=APYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();