SkinHealth Systems (SKIN) Property, Plant & Equipment (Net) (2020 - 2026)
SkinHealth Systems' Property, Plant & Equipment (Net) came in at $2.09 million for Q2 2026, down 43.6% from $3.7 million a year earlier and down 10.6% from the prior quarter.
SkinHealth Systems (SKIN) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, SkinHealth Systems' Property, Plant & Equipment (Net) was $2.54 million, down 57.5% from FY2024.
- Property, Plant & Equipment (Net) has declined in each of the last three years, with a five-year compound annual growth rate of -22.7% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $5.98 million in FY2024 (-58.0%), $14.23 million in FY2023 (-21.8%), $18.18 million in FY2022 (+12.4%) and $16.18 million in FY2021 (+76.1%).
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2020.
- Year-over-year, Property, Plant & Equipment (Net) has declined for 13 consecutive quarters, with an average decline of 55.4% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q2 2022 (growth of 78.4%), and the weakest in Q1 2025 (a decline of 65.0%).
- Business Quant data shows SKIN's Property, Plant & Equipment (Net) at $2.34 million (Q1 2026), $2.54 million (Q4 2025) and $3.05 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 1.84 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.08 Bn |
| 10 | SkinHealth Systems | 81.97 Mn | -780.54 Mn | 49.34 Mn | 2.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.09 Mn |
| Mar 31, 2026 | 2.34 Mn |
| Dec 31, 2025 | 2.54 Mn |
| Sep 30, 2025 | 3.05 Mn |
| Jun 30, 2025 | 3.70 Mn |
| Mar 31, 2025 | 4.22 Mn |
| Dec 31, 2024 | 5.98 Mn |
| Sep 30, 2024 | 7.63 Mn |
| Jun 30, 2024 | 9.72 Mn |
| Mar 31, 2024 | 12.05 Mn |
| Dec 31, 2023 | 14.23 Mn |
| Sep 30, 2023 | 16.06 Mn |
| Jun 30, 2023 | 17.96 Mn |
| Mar 31, 2023 | 18.36 Mn |
| Dec 31, 2022 | 18.18 Mn |
| Sep 30, 2022 | 18.10 Mn |
| Jun 30, 2022 | 18.04 Mn |
| Mar 31, 2022 | 17.86 Mn |
| Dec 31, 2021 | 16.18 Mn |
| Sep 30, 2021 | 12.07 Mn |
SkinHealth Systems Property, Plant & Equipment (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=property-plant-and-equipment-net&ticker=SKIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "SKIN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=SKIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();