Apyx Medical (APYX) Invested Capital (2010 - 2026)
Apyx Medical (APYX) posted Invested Capital of $46.42 million for Q2 2026, up 11.0% from $41.82 million a year earlier but down 3.6% from the prior quarter.
Apyx Medical (APYX) Invested Capital (2010 - 2026) Analysis & Trends
For FY2025, Apyx Medical's Invested Capital came in at $49.68 million, up 3.0% from FY2024.
- Annual Invested Capital shows a three-year compound annual growth rate of 9.5% (FY2022 to FY2025).
- In prior years, Apyx Medical's Invested Capital was $48.23 million in FY2024 (-19.8%), $60.11 million in FY2023 (+59.0%) and $37.79 million in FY2022.
- Quarterly Invested Capital has run from a low of $37.79 million in Q4 2022 to a high of $60.11 million in Q4 2023 over five years.
- On a year-over-year basis, Invested Capital has increased in each of the last three quarters, with an average decline of 4.1% over the last eight quarters.
- The strongest year-over-year quarter for Invested Capital in the past five years was Q4 2023, with growth of 59.0%; the weakest was Q4 2024, with a decline of 19.8%.
- According to Business Quant data, Invested Capital for the three prior quarters was $48.18 million (Q1 2026), $49.68 million (Q4 2025) and $40.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Invested Cap. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 95.24 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 84.37 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 79.15 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 79.00 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 38.93 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 37.80 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 11.32 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 41.22 Bn |
| 10 | Apyx Medical | 103.19 Mn | -12.02 Mn | 8.87 Mn | 46.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.42 Mn |
| Mar 31, 2026 | 48.18 Mn |
| Dec 31, 2025 | 49.68 Mn |
| Sep 30, 2025 | 40.69 Mn |
| Jun 30, 2025 | 41.82 Mn |
| Mar 31, 2025 | 44.77 Mn |
| Dec 31, 2024 | 48.23 Mn |
| Sep 30, 2024 | 45.05 Mn |
| Jun 30, 2024 | 48.55 Mn |
| Mar 31, 2024 | 53.87 Mn |
| Dec 31, 2023 | 60.11 Mn |
| Sep 30, 2023 | 42.60 Mn |
| Jun 30, 2023 | 45.63 Mn |
| Mar 31, 2023 | 44.99 Mn |
| Dec 31, 2022 | 37.79 Mn |
| Sep 30, 2019 | 75.79 Mn |
| Jun 30, 2019 | 79.58 Mn |
| Mar 31, 2019 | 82.97 Mn |
| Dec 31, 2018 | 87.32 Mn |
| Sep 30, 2018 | 90.60 Mn |
Apyx Medical Invested Capital 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=invested-capital&ticker=APYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "invested-capital", "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=invested-capital&ticker=APYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();