Apyx Medical (APYX) Operating Expenses (2011 - 2026)
Apyx Medical (APYX) reported Operating Expenses of $10.68 million for Q2 2026, up 10.6% from $9.66 million a year earlier and up 20.8% from the prior quarter.
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Analysis
Apyx Medical (APYX) Operating Expenses (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Apyx Medical's Operating Expenses came in at $40.63 million, down 0.8% year-over-year; for FY2025, it came in at $39.49 million, down 18.1% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- By year, Operating Expenses came in at $48.21 million in FY2024 (-10.2%), $53.7 million in FY2023 (+1.9%), $52.69 million in FY2022 (+9.7%) and $48.05 million in FY2021 (+27.8%).
- Five-year quarterly Operating Expenses spans a low of $8.72 million in Q1 2025 and a high of $14.7 million in Q4 2023.
- Year over year, Operating Expenses gained in two of the last eight quarters, with an average decline of 11.6%.
- The high point for year-over-year Operating Expenses in five years was Q4 2021 (growth of 41.9%); the low point was Q1 2025 (a decline of 30.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $8.84 million (Q1 2026), $11.99 million (Q4 2025) and $9.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Apyx Medical | 109.50 Mn | -5.70 Mn | 8.87 Mn | 10.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.68 Mn |
| Mar 31, 2026 | 8.84 Mn |
| Dec 31, 2025 | 11.99 Mn |
| Sep 30, 2025 | 9.13 Mn |
| Jun 30, 2025 | 9.66 Mn |
| Mar 31, 2025 | 8.72 Mn |
| Dec 31, 2024 | 12.01 Mn |
| Sep 30, 2024 | 10.59 Mn |
| Jun 30, 2024 | 13.04 Mn |
| Mar 31, 2024 | 12.56 Mn |
| Dec 31, 2023 | 14.70 Mn |
| Sep 30, 2023 | 12.62 Mn |
| Jun 30, 2023 | 13.21 Mn |
| Mar 31, 2023 | 13.18 Mn |
| Dec 31, 2022 | 14.17 Mn |
| Sep 30, 2022 | 11.54 Mn |
| Jun 30, 2022 | 12.89 Mn |
| Mar 31, 2022 | 14.09 Mn |
| Dec 31, 2021 | 13.84 Mn |
| Sep 30, 2021 | 12.02 Mn |
API Access
Apyx Medical Operating Expenses 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=operating-expenses&ticker=APYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=APYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();