Verrica Pharmaceuticals (VRCA) Finished Goods (2023 - 2025)
Verrica Pharmaceuticals' Finished Goods was $991,000 in Q2 2025, up 13.6% from $872,000 a year earlier but down 19.7% from the prior quarter.
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Analysis
Verrica Pharmaceuticals (VRCA) Finished Goods (2023 - 2025) Analysis & Trends
At the end of FY2024, Finished Goods at Verrica Pharmaceuticals came in at $717,000, up 523.5% from FY2023.
- In earlier years, Finished Goods was $115,000 in FY2023.
- Quarterly Finished Goods has moved between $115,000 (Q4 2023) and $1.23 million (Q1 2025) over five years.
- Compared with a year earlier, Finished Goods has increased for four straight quarters, with growth averaging 225.6% over the last four quarters.
- Per Business Quant data, VRCA's Finished Goods in the three quarters before Q2 2025 was $1.23 million (Q1 2025), $717,000 (Q4 2024) and $626,000 (Q3 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Verrica Pharmaceuticals | 79.02 Mn | -4.02 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 991,000.00 |
| Mar 31, 2025 | 1.23 Mn |
| Dec 31, 2024 | 717,000.00 |
| Sep 30, 2024 | 626,000.00 |
| Jun 30, 2024 | 872,000.00 |
| Mar 31, 2024 | 681,000.00 |
| Dec 31, 2023 | 115,000.00 |
| Sep 30, 2023 | 163,000.00 |
API Access
Verrica Pharmaceuticals Finished Goods 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=finished-goods&ticker=VRCA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "VRCA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=finished-goods&ticker=VRCA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();