Apyx Medical (APYX) Depreciation & Amortization (CF) (2011 - 2026)
Apyx Medical (APYX) recorded Depreciation & Amortization (CF) of $196,000 in Q2 2026, up 48.5% from $132,000 a year earlier but down 3.0% from the prior quarter.
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Analysis
Apyx Medical (APYX) Depreciation & Amortization (CF) (2011 - 2026) Analysis & Trends
On a TTM basis, Apyx Medical's Depreciation & Amortization (CF) came in at $783,000 as of Jun 30, 2026, up 40.8% year-over-year; for FY2025, it was $655,000, up 9.3% from FY2024.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of -5.9% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $599,000 in FY2024 (-13.4%), $692,000 in FY2023 (-22.2%), $890,000 in FY2022 (-1.4%) and $903,000 in FY2021 (+1.8%).
- Quarterly Depreciation & Amortization (CF) has ranged from $132,000 in Q2 2025 to $247,000 in Q2 2022 over the past five years.
- On a year-over-year basis, Depreciation & Amortization (CF) has increased for four consecutive quarters, with growth averaging 13.5% over the last eight quarters.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 55.6% in Q4 2025, against a decline of 38.9% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $202,000 (Q1 2026), $221,000 (Q4 2025) and $164,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 192.30 Mn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 355.00 Mn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 564.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 42.70 Mn |
| 10 | Apyx Medical | 109.63 Mn | -6.00 Mn | 8.87 Mn | 196,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 196,000.00 |
| Mar 31, 2026 | 202,000.00 |
| Dec 31, 2025 | 221,000.00 |
| Sep 30, 2025 | 164,000.00 |
| Jun 30, 2025 | 132,000.00 |
| Mar 31, 2025 | 138,000.00 |
| Dec 31, 2024 | 142,000.00 |
| Sep 30, 2024 | 144,000.00 |
| Jun 30, 2024 | 156,000.00 |
| Mar 31, 2024 | 157,000.00 |
| Dec 31, 2023 | 152,000.00 |
| Sep 30, 2023 | 186,000.00 |
| Jun 30, 2023 | 151,000.00 |
| Mar 31, 2023 | 203,000.00 |
| Dec 31, 2022 | 202,000.00 |
| Sep 30, 2022 | 216,000.00 |
| Jun 30, 2022 | 247,000.00 |
| Mar 31, 2022 | 225,000.00 |
| Dec 31, 2021 | 229,000.00 |
| Sep 30, 2021 | 234,000.00 |
API Access
Apyx Medical Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=APYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=APYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();