SkinHealth Systems (SKIN) Return on Sales [ROS] (2020 - 2026)
SkinHealth Systems (SKIN) posted Return on Sales [ROS] of 4.95% for Q2 2026, up 8.41 percentage points from -3.45% a year earlier and up 7.73 percentage points from the prior quarter.
SkinHealth Systems (SKIN) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at SkinHealth Systems was -1.49%, up 12.51 percentage points year-over-year; for FY2025, it came in at -6.92%, up 13.36 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +7.51 percentage points (FY2020 to FY2025).
- In prior years, SkinHealth Systems' Return on Sales [ROS] was -20.27% in FY2024 (+12.62 pp), -32.89% in FY2023 (-25.83 pp), -7.06% in FY2022 (+8.29 pp) and -15.35% in FY2021 (-0.92 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q1 2021.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last eight quarters, with an average year-over-year change of +17.76 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2024, with a gain of 56.98 percentage points; the weakest was Q3 2023, with a drop of 79.38 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -2.77% (Q1 2026), 0.20% (Q4 2025) and -8.83% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | SkinHealth Systems | 81.97 Mn | -780.54 Mn | 49.34 Mn | 4.95% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.95% |
| Mar 31, 2026 | -2.77% |
| Dec 31, 2025 | 0.20% |
| Sep 30, 2025 | -8.83% |
| Jun 30, 2025 | -3.45% |
| Mar 31, 2025 | -17.28% |
| Dec 31, 2024 | -8.57% |
| Sep 30, 2024 | -27.30% |
| Jun 30, 2024 | -24.41% |
| Mar 31, 2024 | -20.87% |
| Dec 31, 2023 | -18.96% |
| Sep 30, 2023 | -84.28% |
| Jun 30, 2023 | -11.19% |
| Mar 31, 2023 | -20.06% |
| Dec 31, 2022 | -2.49% |
| Sep 30, 2022 | -4.90% |
| Jun 30, 2022 | -4.86% |
| Mar 31, 2022 | -18.58% |
| Dec 31, 2021 | -13.48% |
| Sep 30, 2021 | -8.01% |
SkinHealth Systems Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SKIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SKIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();