Processa Pharmaceuticals (PCSA) Accumulated Expenses (2012 - 2026)
Processa Pharmaceuticals (PCSA) posted Accumulated Expenses of $727,465 for Q2 2026, down 42.4% from $1.26 million a year earlier and down 36.2% from the prior quarter.
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Analysis
Processa Pharmaceuticals (PCSA) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025, Processa Pharmaceuticals' Accumulated Expenses came in at $1.18 million, up 103.8% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 39.3% (FY2020 to FY2025).
- In prior years, Processa Pharmaceuticals' Accumulated Expenses was $578,731 in FY2024 (+295.6%), $146,274 in FY2023 (-63.7%), $403,061 in FY2022 (+44.3%) and $279,265 in FY2021 (+24.3%).
- The Q2 2026 figure stands as the lowest quarterly Accumulated Expenses since Q1 2025.
- On a year-over-year basis, Accumulated Expenses increased in seven of the last eight quarters, with growth averaging 109.1%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2023, with growth of 438.0%; the weakest was Q1 2024, with a decline of 70.4%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $1.14 million (Q1 2026), $1.18 million (Q4 2025) and $1.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Processa Pharmaceuticals | 4.58 Mn | 4.58 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 727,465.00 |
| Mar 31, 2026 | 1.14 Mn |
| Dec 31, 2025 | 1.18 Mn |
| Sep 30, 2025 | 1.02 Mn |
| Jun 30, 2025 | 1.26 Mn |
| Mar 31, 2025 | 680,747.00 |
| Dec 31, 2024 | 578,731.00 |
| Sep 30, 2024 | 412,813.00 |
| Jun 30, 2024 | 505,397.00 |
| Mar 31, 2024 | 465,618.00 |
| Dec 31, 2023 | 146,274.00 |
| Sep 30, 2023 | 202,236.00 |
| Jun 30, 2023 | 311,502.00 |
| Mar 31, 2023 | 1.57 Mn |
| Dec 31, 2022 | 403,061.00 |
| Sep 30, 2022 | 216,407.00 |
| Jun 30, 2022 | 307,412.00 |
| Mar 31, 2022 | 292,566.00 |
| Dec 31, 2021 | 279,265.00 |
| Sep 30, 2021 | 378,660.00 |
API Access
Processa Pharmaceuticals Accumulated 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=accumulated-expenses&ticker=PCSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=PCSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();