Apyx Medical (APYX) Non Operating Interest Expenses (2018 - 2026)
Apyx Medical (APYX) posted Non Operating Interest Expenses of $1.39 million for Q2 2026, up 0.1% from $1.39 million a year earlier and up 1.8% from the prior quarter.
Apyx Medical (APYX) Non Operating Interest Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at Apyx Medical was $5.58 million, down 4.6% year-over-year; for FY2025, it was $5.59 million, down 5.4% from FY2024.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 161.2% (FY2020 to FY2025).
- In prior years, Apyx Medical's Non Operating Interest Expenses was $5.91 million in FY2024 (+138.4%), $2.48 million in FY2023, $15,000 in FY2022 (+50.0%) and $10,000 in FY2021 (-78.3%).
- Quarterly Non Operating Interest Expenses has run from a low of $1,000 in Q4 2021 to a high of $1.65 million in Q4 2024 over five years.
- On a year-over-year basis, Non Operating Interest Expenses increased in three of the last eight quarters, with growth averaging 21.5%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q1 2024, with growth of 496.6%; the weakest was Q3 2021, with a decline of 88.0%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $1.37 million (Q1 2026), $1.41 million (Q4 2025) and $1.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Apyx Medical | 103.19 Mn | -12.02 Mn | 8.87 Mn | 1.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.39 Mn |
| Mar 31, 2026 | 1.37 Mn |
| Dec 31, 2025 | 1.41 Mn |
| Sep 30, 2025 | 1.41 Mn |
| Jun 30, 2025 | 1.39 Mn |
| Mar 31, 2025 | 1.38 Mn |
| Dec 31, 2024 | 1.65 Mn |
| Sep 30, 2024 | 1.43 Mn |
| Jun 30, 2024 | 1.43 Mn |
| Mar 31, 2024 | 1.40 Mn |
| Dec 31, 2023 | 1.12 Mn |
| Sep 30, 2023 | 585,000.00 |
| Jun 30, 2023 | 543,000.00 |
| Mar 31, 2023 | 234,000.00 |
| Dec 31, 2022 | 3,000.00 |
| Sep 30, 2022 | 1,000.00 |
| Jun 30, 2022 | 3,000.00 |
| Mar 31, 2022 | 8,000.00 |
| Dec 31, 2021 | 1,000.00 |
| Sep 30, 2021 | 3,000.00 |
Apyx Medical Non Operating Interest 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=non-operating-interest-expenses&ticker=APYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=APYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();