Skinvisible (SKVI) Change in Accured Expenses (2010 - 2026)
Skinvisible's Change in Accured Expenses came in at $49,831 for Q2 2026, down 59.1% from $121,828 a year earlier and down 50.8% from the prior quarter.
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Analysis
Skinvisible (SKVI) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Skinvisible reported Change in Accured Expenses of $323,640, down 23.2% year-over-year; for FY2025, it came in at $394,676, down 6.1% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $420,325 in FY2024 (+8.1%), $388,926 in FY2023 (+26.8%), $306,655 in FY2022 (+76.1%) and $174,166 in FY2021 (-34.7%).
- The Q2 2026 figure represents the lowest quarterly Change in Accured Expenses since Q4 2024.
- Year-over-year, Change in Accured Expenses increased in three of the last six quarters, with growth averaging 41.8%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q2 2022 (growth of 573.2%), and the weakest in Q3 2025 (a decline of 84.6%).
- Business Quant data shows SKVI's Change in Accured Expenses at $101,292 (Q1 2026), $97,013 (Q4 2025) and $75,504 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Skinvisible | 1.08 Mn | 1.07 Mn | 5,000.00 | 49,831.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49,831.00 |
| Mar 31, 2026 | 101,292.00 |
| Dec 31, 2025 | 97,013.00 |
| Sep 30, 2025 | 75,504.00 |
| Jun 30, 2025 | 121,828.00 |
| Mar 31, 2025 | 100,331.00 |
| Dec 31, 2024 | -291,120.00 |
| Sep 30, 2024 | 490,421.00 |
| Jun 30, 2024 | 126,804.00 |
| Mar 31, 2024 | 94,220.00 |
| Dec 31, 2023 | 110,349.00 |
| Sep 30, 2023 | 99,852.00 |
| Jun 30, 2023 | 102,412.00 |
| Mar 31, 2023 | 76,313.00 |
| Dec 31, 2022 | 91,006.00 |
| Sep 30, 2022 | 86,284.00 |
| Jun 30, 2022 | 224,397.00 |
| Mar 31, 2022 | -95,032.00 |
| Dec 31, 2021 | 5,763.00 |
| Sep 30, 2021 | 48,326.00 |
API Access
Skinvisible Change in Accured Expenses 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=change-in-accured-expenses&ticker=SKVI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=SKVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();