Verrica Pharmaceuticals (VRCA) Operating Expenses (2017 - 2026)
Verrica Pharmaceuticals (VRCA) reported Operating Expenses of $18.96 million for Q2 2026, up 69.4% from $11.19 million a year earlier and up 28.6% from the prior quarter.
Verrica Pharmaceuticals (VRCA) Operating Expenses (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Verrica Pharmaceuticals' Operating Expenses came in at $58.7 million, up 9.8% year-over-year; for FY2025, it came in at $47.76 million, down 35.0% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- By year, Operating Expenses came in at $73.49 million in FY2024 (+3.7%), $70.88 million in FY2023 (+133.7%), $30.33 million in FY2022 (-29.3%) and $42.91 million in FY2021 (+6.8%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q2 2024.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with an average decline of 13.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2023 (growth of 300.1%); the low point was Q4 2024 (a decline of 53.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $14.74 million (Q1 2026), $12.28 million (Q4 2025) and $12.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Verrica Pharmaceuticals | 79.02 Mn | -4.02 Mn | - | 18.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.96 Mn |
| Mar 31, 2026 | 14.74 Mn |
| Dec 31, 2025 | 12.28 Mn |
| Sep 30, 2025 | 12.72 Mn |
| Jun 30, 2025 | 11.19 Mn |
| Mar 31, 2025 | 11.57 Mn |
| Dec 31, 2024 | 11.75 Mn |
| Sep 30, 2024 | 18.92 Mn |
| Jun 30, 2024 | 20.38 Mn |
| Mar 31, 2024 | 22.43 Mn |
| Dec 31, 2023 | 25.12 Mn |
| Sep 30, 2023 | 26.83 Mn |
| Jun 30, 2023 | 11.80 Mn |
| Mar 31, 2023 | 7.13 Mn |
| Dec 31, 2022 | 6.28 Mn |
| Sep 30, 2022 | 6.87 Mn |
| Jun 30, 2022 | 9.34 Mn |
| Mar 31, 2022 | 7.84 Mn |
| Dec 31, 2021 | 8.47 Mn |
| Sep 30, 2021 | 11.77 Mn |
Verrica Pharmaceuticals 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=VRCA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VRCA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();