SkinHealth Systems (SKIN) Revenue (2020 - 2026)
SkinHealth Systems' Revenue was $72.11 million in Q2 2026, down 7.8% from $78.19 million a year earlier but up 11.1% from the prior quarter.
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Analysis
SkinHealth Systems (SKIN) Revenue (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, SkinHealth Systems' Revenue was $290.05 million through Jun 30, 2026, down 6.5% year-over-year; for FY2025, it came in at $300.79 million, down 10.0% from FY2024.
- Revenue shows a five-year compound annual growth rate of 20.4% (FY2020 to FY2025).
- In earlier years, Revenue was $334.29 million in FY2024 (-16.0%), $397.99 million in FY2023 (+8.8%), $365.88 million in FY2022 (+40.7%) and $260.09 million in FY2021 (+118.4%).
- Quarterly Revenue has moved between $64.91 million (Q1 2026) and $117.48 million (Q2 2023) over five years.
- Compared with a year earlier, Revenue has declined for 11 straight quarters, with an average decline of 10.9% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was Q4 2021 (growth of 105.6%); the worst was Q2 2024 (a decline of 22.9%).
- Per Business Quant data, SKIN's Revenue in the three quarters before Q2 2026 was $64.91 million (Q1 2026), $82.37 million (Q4 2025) and $70.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.74 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.98 Bn |
| 10 | SkinHealth Systems | 81.97 Mn | -780.54 Mn | 49.34 Mn | 72.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.11 Mn |
| Mar 31, 2026 | 64.91 Mn |
| Dec 31, 2025 | 82.37 Mn |
| Sep 30, 2025 | 70.66 Mn |
| Jun 30, 2025 | 78.19 Mn |
| Mar 31, 2025 | 69.58 Mn |
| Dec 31, 2024 | 83.50 Mn |
| Sep 30, 2024 | 78.80 Mn |
| Jun 30, 2024 | 90.59 Mn |
| Mar 31, 2024 | 81.40 Mn |
| Dec 31, 2023 | 96.82 Mn |
| Sep 30, 2023 | 97.41 Mn |
| Jun 30, 2023 | 117.48 Mn |
| Mar 31, 2023 | 86.28 Mn |
| Dec 31, 2022 | 98.13 Mn |
| Sep 30, 2022 | 88.79 Mn |
| Jun 30, 2022 | 103.54 Mn |
| Mar 31, 2022 | 75.42 Mn |
| Dec 31, 2021 | 77.89 Mn |
| Sep 30, 2021 | 68.15 Mn |
API Access
SkinHealth Systems Revenue 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=revenue&ticker=SKIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SKIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();