Verrica Pharmaceuticals (VRCA) Price to Book (2018 - 2026)
Verrica Pharmaceuticals' (VRCA) Price to Book came in at 24.41 for Q2 2026, up 331.3% from the prior quarter.
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Analysis
Verrica Pharmaceuticals (VRCA) Price to Book (2018 - 2026) Analysis & Trends
For FY2025, Verrica Pharmaceuticals' Price to Book stood at 3.58.
- In prior years, Verrica Pharmaceuticals' Price to Book was 15.71 in FY2023 (+569.4%), 2.35 in FY2022 (-69.6%) and 7.73 in FY2021 (-12.9%).
- The Q2 2026 figure stands as the highest quarterly Price to Book since Q1 2024.
- The strongest year-over-year quarter for Price to Book in the past five years was Q4 2023, with growth of 569.4%; the weakest was Q4 2022, with a decline of 69.6%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 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 |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Verrica Pharmaceuticals | 60.47 Mn | -22.58 Mn | 5.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.41 |
| Mar 31, 2026 | 5.66 |
| Dec 31, 2025 | 3.58 |
| Mar 31, 2024 | 166.53 |
| Dec 31, 2023 | 15.71 |
| Sep 30, 2023 | 3.86 |
| Jun 30, 2023 | 4.36 |
| Mar 31, 2023 | 4.20 |
| Dec 31, 2022 | 2.35 |
| Sep 30, 2022 | 2.68 |
| Jun 30, 2022 | 3.25 |
| Mar 31, 2022 | 8.81 |
| Dec 31, 2021 | 7.73 |
| Sep 30, 2021 | 8.42 |
| Jun 30, 2021 | 5.96 |
| Mar 31, 2021 | 6.74 |
| Dec 31, 2020 | 8.88 |
| Sep 30, 2020 | 5.11 |
| Jun 30, 2020 | 5.86 |
| Mar 31, 2020 | 4.98 |
API Access
Verrica Pharmaceuticals Price to Book 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=price-to-book&ticker=VRCA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=VRCA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();