SkinHealth Systems (SKIN) Intangibles (2020 - 2026)
SkinHealth Systems' Intangibles was $30.22 million in Q2 2026, down 30.5% from $43.49 million a year earlier and down 7.9% from the prior quarter.
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Analysis
SkinHealth Systems (SKIN) Intangibles (2020 - 2026) Analysis & Trends
At the end of FY2025, Intangibles at SkinHealth Systems came in at $35.76 million, down 24.7% from FY2024.
- Intangibles shows a five-year compound annual growth rate of -6.8% (FY2020 to FY2025).
- In earlier years, Intangibles was $47.51 million in FY2024 (-23.5%), $62.12 million in FY2023 (+33.9%), $46.39 million in FY2022 (-17.2%) and $56.01 million in FY2021 (+10.0%).
- The Q2 2026 figure marks the lowest quarterly Intangibles in data going back to Q4 2020.
- Compared with a year earlier, Intangibles has declined for ten straight quarters, with an average decline of 24.4% over the last eight quarters.
- The best year-over-year quarter for Intangibles over five years was Q3 2023 (growth of 38.6%); the worst was Q2 2026 (a decline of 30.5%).
- Per Business Quant data, SKIN's Intangibles in the three quarters before Q2 2026 was $32.8 million (Q1 2026), $35.76 million (Q4 2025) and $37.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 18.61 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 17.21 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 21.36 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.14 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 10.24 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 5.74 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 6.92 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.38 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 448.00 Mn |
| 10 | SkinHealth Systems | 81.97 Mn | -780.54 Mn | 49.34 Mn | 30.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.22 Mn |
| Mar 31, 2026 | 32.80 Mn |
| Dec 31, 2025 | 35.76 Mn |
| Sep 30, 2025 | 37.98 Mn |
| Jun 30, 2025 | 43.49 Mn |
| Mar 31, 2025 | 45.65 Mn |
| Dec 31, 2024 | 47.51 Mn |
| Sep 30, 2024 | 50.98 Mn |
| Jun 30, 2024 | 54.16 Mn |
| Mar 31, 2024 | 58.41 Mn |
| Dec 31, 2023 | 62.12 Mn |
| Sep 30, 2023 | 64.64 Mn |
| Jun 30, 2023 | 65.57 Mn |
| Mar 31, 2023 | 70.84 Mn |
| Dec 31, 2022 | 46.39 Mn |
| Sep 30, 2022 | 46.63 Mn |
| Jun 30, 2022 | 51.20 Mn |
| Mar 31, 2022 | 52.54 Mn |
| Dec 31, 2021 | 56.01 Mn |
| Sep 30, 2021 | 59.35 Mn |
API Access
SkinHealth Systems Intangibles 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=intangibles&ticker=SKIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=SKIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();