Apyx Medical (APYX) Interest Expenses (2018 - 2026)
Apyx Medical's Interest Expenses was $1.39 million in Q2 2026, up 0.1% from $1.39 million a year earlier and up 1.8% from the prior quarter.
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Analysis
Apyx Medical (APYX) Interest Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Apyx Medical's Interest Expenses was $5.58 million through Jun 30, 2026, down 4.6% year-over-year; for FY2025, it was $5.59 million, down 5.4% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 161.2% (FY2020 to FY2025).
- In earlier years, 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 Interest Expenses has moved between $1,000 (Q4 2021) and $1.65 million (Q4 2024) over five years.
- Compared with a year earlier, Interest Expenses was higher in three of the last eight quarters, with growth averaging 21.5%.
- The best year-over-year quarter for Interest Expenses over five years was Q1 2024 (growth of 496.6%); the worst was Q3 2021 (a decline of 88.0%).
- Per Business Quant data, APYX's Interest Expenses in the three quarters before Q2 2026 was $1.37 million (Q1 2026), $1.41 million (Q4 2025) and $1.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Apyx Medical | 109.50 Mn | -5.70 Mn | 8.87 Mn | 1.39 Mn |
Historic Data
Download Data
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 |
API Access
Apyx Medical 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=interest-expenses&ticker=APYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=APYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();