Verrica Pharmaceuticals (VRCA) Research & Development (2017 - 2026)
Verrica Pharmaceuticals (VRCA) reported Research & Development of $6.03 million for Q2 2026, up 226.9% from $1.85 million a year earlier and up 56.3% from the prior quarter.
Verrica Pharmaceuticals (VRCA) Research & Development (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Verrica Pharmaceuticals' Research & Development came in at $14.62 million, up 89.8% year-over-year; for FY2025, it came in at $8.86 million, down 25.2% from FY2024.
- Research & Development has a five-year compound annual growth rate of -10.8% (FY2020 to FY2025).
- By year, Research & Development came in at $11.84 million in FY2024 (-41.7%), $20.3 million in FY2023 (+66.4%), $12.2 million in FY2022 (-23.4%) and $15.93 million in FY2021 (+1.6%).
- The Q2 2026 figure ranks as the highest quarterly Research & Development since Q3 2023.
- Year over year, Research & Development has now increased in each of the last three quarters, with growth averaging 20.5% over the last eight quarters.
- The high point for year-over-year Research & Development in five years was Q2 2026 (growth of 226.9%); the low point was Q4 2024 (a decline of 78.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.86 million (Q1 2026), $2.52 million (Q4 2025) and $2.21 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 4.25 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 4.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 2.57 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 4.54 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 2.11 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 1.61 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 3.02 Bn |
| 10 | Verrica Pharmaceuticals | 62.02 Mn | -21.03 Mn | - | 6.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.03 Mn |
| Mar 31, 2026 | 3.86 Mn |
| Dec 31, 2025 | 2.52 Mn |
| Sep 30, 2025 | 2.21 Mn |
| Jun 30, 2025 | 1.85 Mn |
| Mar 31, 2025 | 2.28 Mn |
| Dec 31, 2024 | 1.17 Mn |
| Sep 30, 2024 | 2.41 Mn |
| Jun 30, 2024 | 3.32 Mn |
| Mar 31, 2024 | 4.95 Mn |
| Dec 31, 2023 | 5.32 Mn |
| Sep 30, 2023 | 6.51 Mn |
| Jun 30, 2023 | 5.73 Mn |
| Mar 31, 2023 | 2.74 Mn |
| Dec 31, 2022 | 3.03 Mn |
| Sep 30, 2022 | 2.78 Mn |
| Jun 30, 2022 | 3.94 Mn |
| Mar 31, 2022 | 2.45 Mn |
| Dec 31, 2021 | 3.36 Mn |
| Sep 30, 2021 | 3.76 Mn |
Verrica Pharmaceuticals Research & Development 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=research-and-development&ticker=VRCA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=VRCA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();