Verrica Pharmaceuticals (VRCA) Total Current Liabilities (2017 - 2026)
Verrica Pharmaceuticals (VRCA) recorded Total Current Liabilities of $22.44 million in Q2 2026, down 23.2% from $29.22 million a year earlier but up 38.4% from the prior quarter.
Verrica Pharmaceuticals (VRCA) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Verrica Pharmaceuticals reported Total Current Liabilities of $16.44 million, down 43.3% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of -16.1% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $29.01 million in FY2024 (+70.4%), $17.02 million in FY2023 (+392.2%), $3.46 million in FY2022 (-92.5%) and $46.06 million in FY2021 (+16.7%).
- Quarterly Total Current Liabilities has ranged from $2.64 million in Q1 2023 to $46.37 million in Q3 2021 over the past five years.
- On a year-over-year basis, Total Current Liabilities has declined for three consecutive quarters, with growth averaging 22.4% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 632.7% in Q1 2024, against a decline of 94.1% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.22 million (Q1 2026), $16.44 million (Q4 2025) and $28.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Verrica Pharmaceuticals | 62.02 Mn | -21.03 Mn | - | 22.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.44 Mn |
| Mar 31, 2026 | 16.22 Mn |
| Dec 31, 2025 | 16.44 Mn |
| Sep 30, 2025 | 28.91 Mn |
| Jun 30, 2025 | 29.22 Mn |
| Mar 31, 2025 | 29.40 Mn |
| Dec 31, 2024 | 29.01 Mn |
| Sep 30, 2024 | 21.03 Mn |
| Jun 30, 2024 | 20.05 Mn |
| Mar 31, 2024 | 19.37 Mn |
| Dec 31, 2023 | 17.02 Mn |
| Sep 30, 2023 | 11.37 Mn |
| Jun 30, 2023 | 5.73 Mn |
| Mar 31, 2023 | 2.64 Mn |
| Dec 31, 2022 | 3.46 Mn |
| Sep 30, 2022 | 3.08 Mn |
| Jun 30, 2022 | 45.71 Mn |
| Mar 31, 2022 | 44.80 Mn |
| Dec 31, 2021 | 46.06 Mn |
| Sep 30, 2021 | 46.37 Mn |
Verrica Pharmaceuticals Total Current Liabilities 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=total-current-liabilities&ticker=VRCA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=VRCA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();