Verrica Pharmaceuticals (VRCA) Return on Sales [ROS] (2021 - 2026)
Verrica Pharmaceuticals (VRCA) reported Return on Sales [ROS] of -223.42% for Q2 2026, down 235.31 percentage points from 11.89% a year earlier and down 30.01 percentage points from the prior quarter.
Verrica Pharmaceuticals (VRCA) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Verrica Pharmaceuticals' Return on Sales [ROS] came in at -93.59%, up 118.47 percentage points year-over-year; for FY2025, it came in at -34.25%, up 837.00 percentage points from FY2024.
- Return on Sales [ROS] has a four-year change of +223.32 percentage points (FY2021 to FY2025).
- By year, Return on Sales [ROS] came in at -871.25% in FY2024 (+412.10 pp), -1283.35% in FY2023 (-1047.57 pp), -235.78% in FY2022 (+21.78 pp) and -257.57% in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q1 2025.
- Year over year, Return on Sales [ROS] gained in five of the last eight quarters, with an average year-over-year change of +277.10 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2024 (a gain of 18673.34 percentage points); the low point was Q1 2023 (a drop of 17440.20 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -193.41% (Q1 2026), -141.24% (Q4 2025) and 11.34% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Verrica Pharmaceuticals | 75.24 Mn | -7.80 Mn | - | -223.42% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -223.42% |
| Mar 31, 2026 | -193.41% |
| Dec 31, 2025 | -141.24% |
| Sep 30, 2025 | 11.34% |
| Jun 30, 2025 | 11.89% |
| Mar 31, 2025 | -236.41% |
| Dec 31, 2024 | -3,316.86% |
| Sep 30, 2024 | -1,162.49% |
| Jun 30, 2024 | -293.72% |
| Mar 31, 2024 | -486.12% |
| Dec 31, 2023 | -1,163.78% |
| Sep 30, 2023 | -819.92% |
| Jun 30, 2023 | -6,382.42% |
| Mar 31, 2023 | -19,159.46% |
| Dec 31, 2022 | -9,133.82% |
| Sep 30, 2022 | 17.41% |
| Jun 30, 2022 | -4,262.15% |
| Mar 31, 2022 | -1,719.26% |
| Dec 31, 2021 | -257.58% |
| Mar 31, 2021 | 0.50% |
Verrica Pharmaceuticals Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=VRCA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=VRCA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();