SkinHealth Systems (SKIN) Accounts Payables (2020 - 2026)
SkinHealth Systems' Accounts Payables was $16.05 million in Q2 2026, down 30.1% from $22.98 million a year earlier but up 1.0% from the prior quarter.
SkinHealth Systems (SKIN) Accounts Payables (2020 - 2026) Analysis & Trends
At the end of FY2025, Accounts Payables at SkinHealth Systems came in at $15.63 million, down 28.8% from FY2024.
- Accounts Payables shows a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- In earlier years, Accounts Payables was $21.94 million in FY2024 (-51.0%), $44.77 million in FY2023 (+57.3%), $28.47 million in FY2022 (-2.0%) and $29.05 million in FY2021 (+57.1%).
- Quarterly Accounts Payables has moved between $15.63 million (Q4 2025) and $44.77 million (Q4 2023) over five years.
- Compared with a year earlier, Accounts Payables has declined for nine straight quarters, with an average decline of 31.7% over the last eight quarters.
- The best year-over-year quarter for Accounts Payables over five years was Q2 2022 (growth of 112.5%); the worst was Q4 2024 (a decline of 51.0%).
- Per Business Quant data, SKIN's Accounts Payables in the three quarters before Q2 2026 was $15.89 million (Q1 2026), $15.63 million (Q4 2025) and $17.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 210.50 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 6.11 Bn |
| 10 | SkinHealth Systems | 81.97 Mn | -780.54 Mn | 49.34 Mn | 16.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.05 Mn |
| Mar 31, 2026 | 15.89 Mn |
| Dec 31, 2025 | 15.63 Mn |
| Sep 30, 2025 | 17.29 Mn |
| Jun 30, 2025 | 22.98 Mn |
| Mar 31, 2025 | 23.14 Mn |
| Dec 31, 2024 | 21.94 Mn |
| Sep 30, 2024 | 23.08 Mn |
| Jun 30, 2024 | 26.69 Mn |
| Mar 31, 2024 | 37.31 Mn |
| Dec 31, 2023 | 44.77 Mn |
| Sep 30, 2023 | 35.88 Mn |
| Jun 30, 2023 | 29.38 Mn |
| Mar 31, 2023 | 34.33 Mn |
| Dec 31, 2022 | 28.47 Mn |
| Sep 30, 2022 | 32.58 Mn |
| Jun 30, 2022 | 36.83 Mn |
| Mar 31, 2022 | 26.96 Mn |
| Dec 31, 2021 | 29.05 Mn |
| Sep 30, 2021 | 18.12 Mn |
SkinHealth Systems Accounts Payables 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=accounts-payables&ticker=SKIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=SKIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();