Veradermics (MANE) Change in Accrued Expenses (2025 - 2026)
Veradermics (MANE) posted Change in Accured Expenses of -$211,000 for Q2 2026, compared with $1.56 million a year earlier.
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Analysis
Veradermics (MANE) Change in Accrued Expenses (2025 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Veradermics was -$882,000; for FY2025, it was $4.51 million, up 254.8% from FY2024.
- In prior years, Veradermics' Change in Accured Expenses was $1.27 million in FY2024.
- Quarterly Change in Accured Expenses has run from a low of -$1.37 million in Q1 2026 to a high of $1.56 million in Q2 2025 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 983.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | -87.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 756.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Veradermics | 822.06 Mn | -1.33 Bn | - | 2.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.77 Mn |
| Jun 30, 2026 | -211,000.00 |
| Mar 31, 2026 | -1.37 Mn |
| Dec 31, 2025 | 4.38 Mn |
| Sep 30, 2025 | -570,000.00 |
| Jun 30, 2025 | 1.56 Mn |
| Mar 31, 2025 | -862,000.00 |
API Access
Veradermics Change in Accrued 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=MANE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "MANE", "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=MANE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();