Apyx Medical (APYX) Long-Term Debt Repayments (2011 - 2026)
Apyx Medical (APYX) reported Long-Term Debt Repayments of $5,000 for Q2 2026, unchanged from $5,000 a year earlier and unchanged from the prior quarter.
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Analysis
Apyx Medical (APYX) Long-Term Debt Repayments (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Apyx Medical's Long-Term Debt Repayments came in at $20,000, unchanged year-over-year; for FY2025, it was $20,000, unchanged from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -32.2% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $20,000 in FY2024 (-99.8%), $11.03 million in FY2023 and $148,000 in FY2022.
- Five-year quarterly Long-Term Debt Repayments spans a low of $4,000 in Q3 2025 and a high of $11 million in Q4 2023.
- Year over year, Long-Term Debt Repayments gained in 1 of the last seven quarters, with an average decline of 14.3%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q4 2025 (growth of 20.0%); the low point was Q4 2024 (a decline of 100.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $5,000 (Q1 2026), $6,000 (Q4 2025) and $4,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn | - |
| 10 | Apyx Medical | 106.12 Mn | -9.51 Mn | 8.87 Mn | 5,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5,000.00 |
| Mar 31, 2026 | 5,000.00 |
| Dec 31, 2025 | 6,000.00 |
| Sep 30, 2025 | 4,000.00 |
| Jun 30, 2025 | 5,000.00 |
| Mar 31, 2025 | 5,000.00 |
| Dec 31, 2024 | 5,000.00 |
| Sep 30, 2024 | 5,000.00 |
| Jun 30, 2024 | 5,000.00 |
| Mar 31, 2024 | 5,000.00 |
| Dec 31, 2023 | 11.04 Mn |
| Sep 30, 2023 | 13,000.00 |
| Jun 30, 2023 | 10,000.00 |
| Mar 31, 2023 | 9,000.00 |
| Dec 31, 2022 | 10,000.00 |
| Sep 30, 2022 | 30,000.00 |
| Jun 30, 2022 | 54,000.00 |
| Mar 31, 2022 | 54,000.00 |
| Dec 31, 2021 | 57,000.00 |
| Sep 30, 2021 | 61,000.00 |
API Access
Apyx Medical Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=APYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=APYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();