Apyx Medical (APYX) Other Operating Expenses (2011 - 2026)
Apyx Medical (APYX) posted Other Operating Expenses of $1.22 million for Q2 2026, down 18.2% from $1.5 million a year earlier and down 1.4% from the prior quarter.
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Analysis
Apyx Medical (APYX) Other Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Apyx Medical was $5.7 million, down 6.7% year-over-year; for FY2025, it came in at $6.3 million, down 8.8% from FY2024.
- Annual Other Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -3.0% (FY2020 to FY2025).
- In prior years, Apyx Medical's Other Operating Expenses was $6.91 million in FY2024 (-1.7%), $7.03 million in FY2023 (-22.3%), $9.04 million in FY2022 (+19.2%) and $7.59 million in FY2021 (+3.3%).
- The Q2 2026 figure stands as the lowest quarterly Other Operating Expenses since Q3 2018.
- On a year-over-year basis, Other Operating Expenses increased in 1 of the last eight quarters, with an average decline of 11.7%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q1 2022, with growth of 50.3%; the weakest was Q2 2023, with a decline of 33.3%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $1.24 million (Q1 2026), $1.75 million (Q4 2025) and $1.48 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Apyx Medical | 109.50 Mn | -5.70 Mn | 8.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.22 Mn |
| Mar 31, 2026 | 1.24 Mn |
| Dec 31, 2025 | 1.75 Mn |
| Sep 30, 2025 | 1.48 Mn |
| Jun 30, 2025 | 1.50 Mn |
| Mar 31, 2025 | 1.37 Mn |
| Dec 31, 2024 | 1.60 Mn |
| Sep 30, 2024 | 1.65 Mn |
| Jun 30, 2024 | 2.10 Mn |
| Mar 31, 2024 | 1.57 Mn |
| Dec 31, 2023 | 1.87 Mn |
| Sep 30, 2023 | 1.83 Mn |
| Jun 30, 2023 | 1.59 Mn |
| Mar 31, 2023 | 1.74 Mn |
| Dec 31, 2022 | 2.43 Mn |
| Sep 30, 2022 | 1.94 Mn |
| Jun 30, 2022 | 2.39 Mn |
| Mar 31, 2022 | 2.29 Mn |
| Dec 31, 2021 | 2.15 Mn |
| Sep 30, 2021 | 2.03 Mn |
API Access
Apyx Medical Other 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=other-operating-expenses&ticker=APYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=APYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();