Processa Pharmaceuticals (PCSA) Total Current Liabilities (2012 - 2026)
Processa Pharmaceuticals (PCSA) posted Total Current Liabilities of $2.39 million for Q2 2026, up 15.1% from $2.07 million a year earlier and up 20.5% from the prior quarter.
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Analysis
Processa Pharmaceuticals (PCSA) Total Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Processa Pharmaceuticals' Total Current Liabilities came in at $2.24 million, up 45.9% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- In prior years, Processa Pharmaceuticals' Total Current Liabilities was $1.53 million in FY2024 (+109.8%), $730,579 in FY2023 (-26.8%), $998,556 in FY2022 (+2.8%) and $971,020 in FY2021 (-20.5%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities since Q3 2020.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last nine quarters, with growth averaging 47.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2024, with growth of 109.8%; the weakest was Q3 2021, with a decline of 53.9%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $1.98 million (Q1 2026), $2.24 million (Q4 2025) and $1.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Processa Pharmaceuticals | 5.14 Mn | 5.14 Mn | - | 2.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.39 Mn |
| Mar 31, 2026 | 1.98 Mn |
| Dec 31, 2025 | 2.24 Mn |
| Sep 30, 2025 | 1.75 Mn |
| Jun 30, 2025 | 2.07 Mn |
| Mar 31, 2025 | 1.28 Mn |
| Dec 31, 2024 | 1.53 Mn |
| Sep 30, 2024 | 1.22 Mn |
| Jun 30, 2024 | 1.55 Mn |
| Mar 31, 2024 | 1.01 Mn |
| Dec 31, 2023 | 730,579.00 |
| Sep 30, 2023 | 826,070.00 |
| Jun 30, 2023 | 821,414.00 |
| Mar 31, 2023 | 2.16 Mn |
| Dec 31, 2022 | 998,556.00 |
| Sep 30, 2022 | 1.19 Mn |
| Jun 30, 2022 | 1.57 Mn |
| Mar 31, 2022 | 1.06 Mn |
| Dec 31, 2021 | 971,020.00 |
| Sep 30, 2021 | 1.23 Mn |
API Access
Processa 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=PCSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "PCSA", "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=PCSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();