SkinHealth Systems (SKIN) Non-Current Assets (2020 - 2026)
SkinHealth Systems (SKIN) posted Non-Current Assets of $191.33 million for Q2 2026, down 5.0% from $201.46 million a year earlier and down 2.2% from the prior quarter.
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Analysis
SkinHealth Systems (SKIN) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, SkinHealth Systems' Non-Current Assets came in at $190.29 million, down 8.8% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In prior years, SkinHealth Systems' Non-Current Assets was $208.56 million in FY2024 (-9.7%), $230.86 million in FY2023 (+5.0%), $219.81 million in FY2022 (+0.9%) and $217.91 million in FY2021 (+33.1%).
- Quarterly Non-Current Assets has run from a low of $190.29 million in Q4 2025 to a high of $246.42 million in Q1 2023 over five years.
- On a year-over-year basis, Non-Current Assets has declined in each of the last ten quarters, with an average decline of 8.2% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q4 2021, with growth of 33.1%; the weakest was Q1 2022, with a decline of 52.9%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $195.54 million (Q1 2026), $190.29 million (Q4 2025) and $195.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 7.05 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 42.59 Bn |
| 10 | SkinHealth Systems | 80.66 Mn | -781.84 Mn | 49.34 Mn | 191.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 191.33 Mn |
| Mar 31, 2026 | 195.54 Mn |
| Dec 31, 2025 | 190.29 Mn |
| Sep 30, 2025 | 195.27 Mn |
| Jun 30, 2025 | 201.46 Mn |
| Mar 31, 2025 | 204.45 Mn |
| Dec 31, 2024 | 208.56 Mn |
| Sep 30, 2024 | 214.50 Mn |
| Jun 30, 2024 | 222.21 Mn |
| Mar 31, 2024 | 229.92 Mn |
| Dec 31, 2023 | 230.86 Mn |
| Sep 30, 2023 | 235.06 Mn |
| Jun 30, 2023 | 239.53 Mn |
| Mar 31, 2023 | 246.42 Mn |
| Dec 31, 2022 | 219.81 Mn |
| Sep 30, 2022 | 212.36 Mn |
| Jun 30, 2022 | 219.20 Mn |
| Mar 31, 2022 | 216.78 Mn |
| Dec 31, 2021 | 217.91 Mn |
| Sep 30, 2021 | 200.07 Mn |
API Access
SkinHealth Systems Non-Current Assets 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-assets&ticker=SKIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=SKIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();