SkinHealth Systems (SKIN) Asset Writedowns and Impairment (2022 - 2026)
SkinHealth Systems' Asset Writedowns and Impairment came in at $366,000 for Q2 2026, down 83.4% from $2.2 million a year earlier and down 2.7% from the prior quarter.
SkinHealth Systems (SKIN) Asset Writedowns and Impairment (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, SkinHealth Systems reported Asset Writedowns and Impairment of $5.48 million, down 51.1% year-over-year; for FY2025, it came in at $7.22 million, down 74.3% from FY2024.
- Asset Writedowns and Impairment carries a four-year compound annual growth rate of 58.8% (FY2021 to FY2025).
- Going back by year, Asset Writedowns and Impairment was $28.04 million in FY2024 (+53.5%), $18.27 million in FY2023 (+255.2%), $5.14 million in FY2022 (+353.6%) and $1.13 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Asset Writedowns and Impairment since Q1 2025.
- Year-over-year, Asset Writedowns and Impairment increased in 1 of the last eight quarters, with an average decline of 49.5%.
- The fastest year-over-year change in Asset Writedowns and Impairment over five years came in Q1 2023 (growth of 399.6%), and the weakest in Q1 2025 (a decline of 94.9%).
- Business Quant data shows SKIN's Asset Writedowns and Impairment at $376,000 (Q1 2026), $3.58 million (Q4 2025) and $1.17 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | SkinHealth Systems | 81.97 Mn | -780.54 Mn | 49.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 366,000.00 |
| Mar 31, 2026 | 376,000.00 |
| Dec 31, 2025 | 3.58 Mn |
| Sep 30, 2025 | 1.17 Mn |
| Jun 30, 2025 | 2.20 Mn |
| Mar 31, 2025 | 277,000.00 |
| Dec 31, 2024 | 5.34 Mn |
| Sep 30, 2024 | 3.40 Mn |
| Jun 30, 2024 | 13.83 Mn |
| Mar 31, 2024 | 5.48 Mn |
| Dec 31, 2023 | 6.37 Mn |
| Sep 30, 2023 | 7.51 Mn |
| Jun 30, 2023 | 1.06 Mn |
| Mar 31, 2023 | 3.34 Mn |
| Dec 31, 2022 | -556,000.00 |
| Sep 30, 2022 | 3.67 Mn |
| Jun 30, 2022 | 1.36 Mn |
| Mar 31, 2022 | 668,000.00 |
SkinHealth Systems Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=SKIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=SKIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();