Apyx Medical (APYX) Long-Term Debt Repayments (2009 - 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.
Apyx Medical (APYX) Long-Term Debt Repayments (2009 - 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 1.11 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 1.33 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | - |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 7.00 Mn |
| 10 | Apyx Medical | 123.42 Mn | 7.56 Mn | 9.00 Mn | 5,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5,000.00 |
| 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 |
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_KEY
import 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();