Apyx Medical (APYX) Receivables - Net (2009 - 2026)
Apyx Medical (APYX) recorded Receivables - Net of $13.61 million in Q2 2026, up 21.0% from $11.25 million a year earlier and up 6.7% from the prior quarter.
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Analysis
Apyx Medical (APYX) Receivables - Net (2009 - 2026) Analysis & Trends
At the end of FY2025, Apyx Medical reported Receivables - Net of $16.78 million, up 8.4% from FY2024.
- Annual Receivables - Net has increased for three straight years, with a five-year compound annual growth rate of 14.8% (FY2020 to FY2025).
- Across earlier years, Receivables - Net came in at $15.48 million in FY2024 (+10.4%), $14.02 million in FY2023 (+32.3%), $10.6 million in FY2022 (-18.7%) and $13.04 million in FY2021 (+55.2%).
- Quarterly Receivables - Net has ranged from $9.09 million in Q3 2022 to $16.78 million in Q4 2025 over the past five years.
- On a year-over-year basis, Receivables - Net has increased for three consecutive quarters, with growth averaging 4.2% over the last eight quarters.
- Peak year-over-year performance for Receivables - Net in the last five years was growth of 86.0% in Q3 2021, against a decline of 20.5% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.76 million (Q1 2026), $16.78 million (Q4 2025) and $13 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 | 14.87 Mn |
| Jun 30, 2026 | 13.61 Mn |
| Mar 31, 2026 | 12.76 Mn |
| Dec 31, 2025 | 16.78 Mn |
| Sep 30, 2025 | 13.00 Mn |
| Jun 30, 2025 | 11.25 Mn |
| Mar 31, 2025 | 11.65 Mn |
| Dec 31, 2024 | 15.48 Mn |
| Sep 30, 2024 | 13.04 Mn |
| Jun 30, 2024 | 12.71 Mn |
| Mar 31, 2024 | 12.49 Mn |
| Dec 31, 2023 | 14.02 Mn |
| Sep 30, 2023 | 12.65 Mn |
| Jun 30, 2023 | 12.07 Mn |
| Mar 31, 2023 | 9.97 Mn |
| Dec 31, 2022 | 10.60 Mn |
| Sep 30, 2022 | 9.09 Mn |
| Jun 30, 2022 | 10.34 Mn |
| Mar 31, 2022 | 12.36 Mn |
| Dec 31, 2021 | 13.04 Mn |
API Access
Apyx Medical Receivables - Net 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=receivables-net&ticker=APYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=APYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();