Apyx Medical (APYX) Shares Outstanding (2010 - 2026)
Apyx Medical's Shares Outstanding came in at 43.85 million for Q2 2026, up 7.7% from 40.73 million a year earlier and up 0.2% from the prior quarter.
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Analysis
Apyx Medical (APYX) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Apyx Medical's Shares Outstanding was 41.1 million, up 15.6% from FY2024.
- Shares Outstanding has increased in each of the last 16 years, with a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- Going back by year, Shares Outstanding was 35.54 million in FY2024 (+2.7%), 34.62 million in FY2023 (+0.3%), 34.52 million in FY2022 (+0.5%) and 34.33 million in FY2021 (+0.4%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding in data going back to Q4 2010.
- Year-over-year, Shares Outstanding has increased for seven consecutive quarters, with growth averaging 10.8% over the last eight quarters.
- The year-over-year growth in Shares Outstanding has ranged between 0.0% (Q3 2024) and 17.6% (Q3 2025) over the last five years.
- Business Quant data shows APYX's Shares Outstanding at 43.74 million (Q1 2026), 41.1 million (Q4 2025) and 40.75 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 705.30 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 354.10 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 1.28 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 383.50 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 576.40 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 274.79 Mn |
| 10 | Apyx Medical | 109.50 Mn | -5.70 Mn | 8.87 Mn | 43.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.85 Mn |
| Mar 31, 2026 | 43.74 Mn |
| Dec 31, 2025 | 41.10 Mn |
| Sep 30, 2025 | 40.75 Mn |
| Jun 30, 2025 | 40.73 Mn |
| Mar 31, 2025 | 40.73 Mn |
| Dec 31, 2024 | 35.54 Mn |
| Sep 30, 2024 | 34.64 Mn |
| Jun 30, 2024 | 34.64 Mn |
| Mar 31, 2024 | 34.64 Mn |
| Dec 31, 2023 | 34.62 Mn |
| Sep 30, 2023 | 34.64 Mn |
| Jun 30, 2023 | 34.60 Mn |
| Mar 31, 2023 | 34.60 Mn |
| Dec 31, 2022 | 34.52 Mn |
| Sep 30, 2022 | 34.57 Mn |
| Jun 30, 2022 | 34.46 Mn |
| Mar 31, 2022 | 34.43 Mn |
| Dec 31, 2021 | 34.33 Mn |
| Sep 30, 2021 | 34.33 Mn |
API Access
Apyx Medical Shares Outstanding 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=shares-outstanding&ticker=APYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=APYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();