Skinvisible (SKVI) Total Liabilities (2010 - 2026)
Skinvisible (SKVI) reported Total Liabilities of $10.91 million for Q2 2026, up 10.2% from $9.9 million a year earlier and up 2.4% from the prior quarter.
Skinvisible (SKVI) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Skinvisible posted Total Liabilities of $10.39 million, up 10.8% from FY2024.
- Total Liabilities has increased for six consecutive years, with a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- By year, Total Liabilities came in at $9.38 million in FY2024 (+2.1%), $9.19 million in FY2023 (+33.4%), $6.89 million in FY2022 (+22.1%) and $5.64 million in FY2021 (+21.2%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year over year, Total Liabilities has now increased in each of the last 25 quarters, with growth averaging 6.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Liabilities ran from 1.2% in Q3 2025 to 43.8% in Q1 2023.
- Per Business Quant data, the three quarters before Q2 2026 came in at $10.65 million (Q1 2026), $10.39 million (Q4 2025) and $10.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Skinvisible | 1.08 Mn | 1.07 Mn | 5,000.00 | 10.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.91 Mn |
| Mar 31, 2026 | 10.65 Mn |
| Dec 31, 2025 | 10.39 Mn |
| Sep 30, 2025 | 10.14 Mn |
| Jun 30, 2025 | 9.90 Mn |
| Mar 31, 2025 | 9.63 Mn |
| Dec 31, 2024 | 9.38 Mn |
| Sep 30, 2024 | 10.02 Mn |
| Jun 30, 2024 | 9.74 Mn |
| Mar 31, 2024 | 9.47 Mn |
| Dec 31, 2023 | 9.19 Mn |
| Sep 30, 2023 | 8.90 Mn |
| Jun 30, 2023 | 8.63 Mn |
| Mar 31, 2023 | 8.36 Mn |
| Dec 31, 2022 | 6.89 Mn |
| Sep 30, 2022 | 6.52 Mn |
| Jun 30, 2022 | 6.14 Mn |
| Mar 31, 2022 | 5.81 Mn |
| Dec 31, 2021 | 5.64 Mn |
| Sep 30, 2021 | 5.52 Mn |
Skinvisible Total 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-liabilities&ticker=SKVI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SKVI", "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-liabilities&ticker=SKVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();