Apyx Medical (APYX) Total Liabilities (2010 - 2026)
Apyx Medical (APYX) reported Total Liabilities of $49.98 million for Q2 2026, down 1.5% from $50.73 million a year earlier but up 0.1% from the prior quarter.
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Analysis
Apyx Medical (APYX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Apyx Medical posted Total Liabilities of $52.01 million, up 3.0% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 38.4% (FY2020 to FY2025).
- By year, Total Liabilities came in at $50.51 million in FY2024 (-3.5%), $52.32 million in FY2023 (+274.2%), $13.98 million in FY2022 (-5.0%) and $14.71 million in FY2021 (+43.5%).
- Five-year quarterly Total Liabilities spans a low of $13.05 million in Q3 2022 and a high of $52.32 million in Q4 2023.
- Year over year, Total Liabilities gained in five of the last eight quarters, with growth averaging 11.6%.
- The high point for year-over-year Total Liabilities in five years was Q4 2023 (growth of 274.2%); the low point was Q4 2022 (a decline of 5.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $49.94 million (Q1 2026), $52.01 million (Q4 2025) and $51.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Apyx Medical | 109.63 Mn | -6.00 Mn | 8.87 Mn | 49.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.98 Mn |
| Mar 31, 2026 | 49.94 Mn |
| Dec 31, 2025 | 52.01 Mn |
| Sep 30, 2025 | 51.29 Mn |
| Jun 30, 2025 | 50.73 Mn |
| Mar 31, 2025 | 49.52 Mn |
| Dec 31, 2024 | 50.51 Mn |
| Sep 30, 2024 | 49.52 Mn |
| Jun 30, 2024 | 50.47 Mn |
| Mar 31, 2024 | 50.25 Mn |
| Dec 31, 2023 | 52.32 Mn |
| Sep 30, 2023 | 25.86 Mn |
| Jun 30, 2023 | 25.70 Mn |
| Mar 31, 2023 | 20.57 Mn |
| Dec 31, 2022 | 13.98 Mn |
| Sep 30, 2022 | 13.05 Mn |
| Jun 30, 2022 | 13.31 Mn |
| Mar 31, 2022 | 13.15 Mn |
| Dec 31, 2021 | 14.71 Mn |
| Sep 30, 2021 | 13.11 Mn |
API Access
Apyx Medical Total Liabilities 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=total-liabilities&ticker=APYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=APYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();