SkinHealth Systems (SKIN) Shares Outstanding (Diluted) (2020 - 2026)
SkinHealth Systems' Shares Outstanding (Diluted) came in at 129.6 million for Q2 2026, down 7.6% from 140.29 million a year earlier and down 1.4% from the prior quarter.
SkinHealth Systems (SKIN) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, SkinHealth Systems' Shares Outstanding (Diluted) was 135.8 million, down 4.7% from FY2024.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 31.7% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 142.49 million in FY2024 (+8.2%), 131.68 million in FY2023 (-11.3%), 148.51 million in FY2022 (+45.4%) and 102.11 million in FY2021 (+197.8%).
- The five-year range for quarterly Shares Outstanding (Diluted) is 102.11 million (Q4 2021) to 152.71 million (Q1 2022).
- Year-over-year, Shares Outstanding (Diluted) increased in three of the last eight quarters, with an average decline of 2.3%.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q1 2022 (growth of 330.2%), and the weakest in Q1 2025 (a decline of 13.4%).
- Business Quant data shows SKIN's Shares Outstanding (Diluted) at 131.4 million (Q1 2026), 135.8 million (Q4 2025) and 126.89 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 707.60 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 357.30 Mn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 386.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 577.60 Mn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 275.16 Mn |
| 10 | SkinHealth Systems | 81.97 Mn | -780.54 Mn | 49.34 Mn | 129.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 129.60 Mn |
| Mar 31, 2026 | 131.40 Mn |
| Dec 31, 2025 | 135.80 Mn |
| Sep 30, 2025 | 126.89 Mn |
| Jun 30, 2025 | 140.29 Mn |
| Mar 31, 2025 | 125.08 Mn |
| Dec 31, 2024 | 142.49 Mn |
| Sep 30, 2024 | 124.06 Mn |
| Jun 30, 2024 | 141.93 Mn |
| Mar 31, 2024 | 144.48 Mn |
| Dec 31, 2023 | 131.68 Mn |
| Sep 30, 2023 | 132.90 Mn |
| Jun 30, 2023 | 132.72 Mn |
| Mar 31, 2023 | 132.42 Mn |
| Dec 31, 2022 | 148.51 Mn |
| Sep 30, 2022 | 151.42 Mn |
| Jun 30, 2022 | 151.72 Mn |
| Mar 31, 2022 | 152.71 Mn |
| Dec 31, 2021 | 102.11 Mn |
| Sep 30, 2021 | 132.31 Mn |
SkinHealth Systems Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=SKIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=SKIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();