Apyx Medical (APYX) Non-Current Deferred Revenue (2019 - 2026)
Apyx Medical (APYX) reported Non-Current Deffered Revenue of $1.13 million for Q2 2026, down 5.0% from $1.19 million a year earlier but up 0.3% from the prior quarter.
Powered by 
Analysis
Apyx Medical (APYX) Non-Current Deferred Revenue (2019 - 2026) Analysis & Trends
At the end of FY2025, Apyx Medical posted Non-Current Deffered Revenue of $1.05 million, down 6.1% from FY2024.
- Non-Current Deffered Revenue has declined for three consecutive years, though with a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- By year, Non-Current Deffered Revenue came in at $1.12 million in FY2024 (-10.3%), $1.25 million in FY2023 (-11.5%), $1.41 million in FY2022 (+6.4%) and $1.32 million in FY2021 (+113.0%).
- Five-year quarterly Non-Current Deffered Revenue spans a low of $1.05 million in Q4 2025 and a high of $1.41 million in Q4 2022.
- Year over year, Non-Current Deffered Revenue has now declined in each of the last 11 quarters, with an average decline of 5.7% over the last eight quarters.
- The high point for year-over-year Non-Current Deffered Revenue in five years was Q4 2021 (growth of 113.0%); the low point was Q4 2023 (a decline of 11.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.13 million (Q1 2026), $1.05 million (Q4 2025) and $1.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 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 |
| 10 | Apyx Medical | 123.42 Mn | 7.56 Mn | 9.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.17 Mn |
| Jun 30, 2026 | 1.13 Mn |
| Mar 31, 2026 | 1.13 Mn |
| Dec 31, 2025 | 1.05 Mn |
| Sep 30, 2025 | 1.22 Mn |
| Jun 30, 2025 | 1.19 Mn |
| Mar 31, 2025 | 1.19 Mn |
| Dec 31, 2024 | 1.12 Mn |
| Sep 30, 2024 | 1.27 Mn |
| Jun 30, 2024 | 1.27 Mn |
| Mar 31, 2024 | 1.25 Mn |
| Dec 31, 2023 | 1.25 Mn |
| Sep 30, 2023 | 1.33 Mn |
| Jun 30, 2023 | 1.33 Mn |
| Mar 31, 2023 | 1.34 Mn |
| Dec 31, 2022 | 1.41 Mn |
| Sep 30, 2022 | 1.19 Mn |
| Jun 30, 2022 | 1.21 Mn |
| Mar 31, 2022 | 1.39 Mn |
| Dec 31, 2021 | 1.32 Mn |
API Access
Apyx Medical Non-Current Deferred Revenue 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=non-current-deffered-revenue&ticker=APYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deffered-revenue", "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=non-current-deffered-revenue&ticker=APYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();