SkinHealth Systems (SKIN) Other Non-Current Liabilities (2020 - 2026)
SkinHealth Systems (SKIN) posted Other Non-Current Liabilities of $2.32 million for Q2 2026, up 16.6% from $1.99 million a year earlier but down 2.2% from the prior quarter.
SkinHealth Systems (SKIN) Other Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, SkinHealth Systems' Other Non-Current Liabilities came in at $2.41 million, up 3.8% from FY2024.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- In prior years, SkinHealth Systems' Other Non-Current Liabilities was $2.32 million in FY2024 (-34.7%), $3.56 million in FY2023 (-77.0%), $15.47 million in FY2022 (-83.5%) and $93.82 million in FY2021.
- Quarterly Other Non-Current Liabilities has run from a low of $699,000 in Q3 2024 to a high of $357.17 million in Q3 2021 over five years.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last five quarters, with growth averaging 5.0% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q3 2025, with growth of 169.2%; the weakest was Q3 2022, with a decline of 93.8%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $2.37 million (Q1 2026), $2.41 million (Q4 2025) and $1.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | SkinHealth Systems | 81.97 Mn | -780.54 Mn | 49.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.32 Mn |
| Mar 31, 2026 | 2.37 Mn |
| Dec 31, 2025 | 2.41 Mn |
| Sep 30, 2025 | 1.88 Mn |
| Jun 30, 2025 | 1.99 Mn |
| Mar 31, 2025 | 1.80 Mn |
| Dec 31, 2024 | 2.32 Mn |
| Sep 30, 2024 | 699,000.00 |
| Jun 30, 2024 | 1.85 Mn |
| Mar 31, 2024 | 5.02 Mn |
| Dec 31, 2023 | 3.56 Mn |
| Sep 30, 2023 | 7.11 Mn |
| Jun 30, 2023 | 12.96 Mn |
| Mar 31, 2023 | 24.55 Mn |
| Dec 31, 2022 | 15.47 Mn |
| Sep 30, 2022 | 22.30 Mn |
| Jun 30, 2022 | 26.58 Mn |
| Mar 31, 2022 | 41.77 Mn |
| Dec 31, 2021 | 93.82 Mn |
| Sep 30, 2021 | 357.17 Mn |
SkinHealth Systems Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=SKIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=SKIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();