Veradermics (MANE) Operating Expenses (2025 - 2026)
Veradermics (MANE) recorded Operating Expenses of $29.55 million in Q2 2026, up 83.9% from $16.07 million a year earlier but down 1.0% from the prior quarter.
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Analysis
Veradermics (MANE) Operating Expenses (2025 - 2026) Analysis & Trends
On a TTM basis, Veradermics' Operating Expenses came in at $88.4 million as of Jun 30, 2026; for FY2025, it came in at $72.35 million, up 170.2% from FY2024.
- Across earlier years, Operating Expenses came in at $26.78 million in FY2024.
- Quarterly Operating Expenses has ranged from $12.92 million in Q1 2025 to $29.86 million in Q1 2026 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Veradermics | 5.17 Bn | 3.77 Bn | - | 29.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.55 Mn |
| Mar 31, 2026 | 29.86 Mn |
| Jun 30, 2025 | 16.07 Mn |
| Mar 31, 2025 | 12.92 Mn |
API Access
Veradermics Operating 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=operating-expenses&ticker=MANE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=MANE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();