SkinHealth Systems (SKIN) Total Non-Current Liabilities (2020 - 2026)
SkinHealth Systems' Total Non-Current Liabilities came in at $428.69 million for Q2 2026, down 0.7% from $431.57 million a year earlier but up 3.1% from the prior quarter.
SkinHealth Systems (SKIN) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, SkinHealth Systems' Total Non-Current Liabilities was $436.34 million, down 30.9% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $631.56 million in FY2024 (-27.1%), $866.17 million in FY2023 (+5.6%), $820.56 million in FY2022 (-0.8%) and $826.96 million in FY2021 (+228.7%).
- The five-year range for quarterly Total Non-Current Liabilities is $415.62 million (Q1 2026) to $876.01 million (Q3 2023).
- Year-over-year, Total Non-Current Liabilities has declined for ten consecutive quarters, with an average decline of 25.4% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2022 (growth of 400.1%), and the weakest in Q1 2026 (a decline of 33.6%).
- Business Quant data shows SKIN's Total Non-Current Liabilities at $415.62 million (Q1 2026), $436.34 million (Q4 2025) and $436.09 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | - |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 2.19 Bn |
| 10 | SkinHealth Systems | 1.41 Bn | 551.40 Mn | 49.34 Mn | 428.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 428.69 Mn |
| Mar 31, 2026 | 415.62 Mn |
| Dec 31, 2025 | 436.34 Mn |
| Sep 30, 2025 | 435.96 Mn |
| Jun 30, 2025 | 431.22 Mn |
| Mar 31, 2025 | 625.82 Mn |
| Dec 31, 2024 | 631.56 Mn |
| Sep 30, 2024 | 638.57 Mn |
| Jun 30, 2024 | 639.82 Mn |
| Mar 31, 2024 | 773.81 Mn |
| Dec 31, 2023 | 863.40 Mn |
| Sep 30, 2023 | 875.60 Mn |
| Jun 30, 2023 | 831.69 Mn |
| Mar 31, 2023 | 818.00 Mn |
| Dec 31, 2022 | 820.56 Mn |
| Sep 30, 2022 | 831.73 Mn |
| Jun 30, 2022 | 842.98 Mn |
| Mar 31, 2022 | 821.01 Mn |
| Dec 31, 2021 | 826.96 Mn |
| Sep 30, 2021 | 781.00 Mn |
SkinHealth Systems Total 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=total-non-current-liabilities&ticker=SKIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=SKIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();