SkinHealth Systems (SKIN) Operating Expenses (2020 - 2026)
SkinHealth Systems' Operating Expenses was $45.77 million in Q2 2026, down 11.7% from $51.81 million a year earlier and down 1.0% from the prior quarter.
Powered by 
Analysis
SkinHealth Systems (SKIN) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, SkinHealth Systems' Operating Expenses was $196.76 million through Jun 30, 2026, down 15.9% year-over-year; for FY2025, it came in at $217.17 million, down 13.2% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 20.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $250.07 million in FY2024 (-12.6%), $286.03 million in FY2023 (+4.2%), $274.62 million in FY2022 (+25.7%) and $218.47 million in FY2021 (+158.9%).
- The Q2 2026 figure marks the lowest quarterly Operating Expenses since Q1 2021.
- Compared with a year earlier, Operating Expenses has declined for 11 straight quarters, with an average decline of 13.2% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2021 (growth of 183.6%); the worst was Q1 2026 (a decline of 23.7%).
- Per Business Quant data, SKIN's Operating Expenses in the three quarters before Q2 2026 was $46.24 million (Q1 2026), $52.88 million (Q4 2025) and $51.88 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | SkinHealth Systems | 80.66 Mn | -781.84 Mn | 49.34 Mn | 45.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.77 Mn |
| Mar 31, 2026 | 46.24 Mn |
| Dec 31, 2025 | 52.88 Mn |
| Sep 30, 2025 | 51.88 Mn |
| Jun 30, 2025 | 51.81 Mn |
| Mar 31, 2025 | 60.60 Mn |
| Dec 31, 2024 | 59.50 Mn |
| Sep 30, 2024 | 62.16 Mn |
| Jun 30, 2024 | 63.05 Mn |
| Mar 31, 2024 | 65.35 Mn |
| Dec 31, 2023 | 64.05 Mn |
| Sep 30, 2023 | 69.55 Mn |
| Jun 30, 2023 | 81.02 Mn |
| Mar 31, 2023 | 71.41 Mn |
| Dec 31, 2022 | 68.94 Mn |
| Sep 30, 2022 | 65.72 Mn |
| Jun 30, 2022 | 75.07 Mn |
| Mar 31, 2022 | 64.90 Mn |
| Dec 31, 2021 | 63.97 Mn |
| Sep 30, 2021 | 51.53 Mn |
API Access
SkinHealth Systems Operating Expenses 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=operating-expenses&ticker=SKIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SKIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();