Processa Pharmaceuticals (PCSA) Property, Plant & Equipment (Net) (2012 - 2026)
Processa Pharmaceuticals (PCSA) posted Property, Plant & Equipment (Net) of $3,210 for Q2 2026, down 27.3% from $4,414 a year earlier and down 8.6% from the prior quarter.
Processa Pharmaceuticals (PCSA) Property, Plant & Equipment (Net) (2012 - 2026) Analysis & Trends
At the end of FY2025, Processa Pharmaceuticals' Property, Plant & Equipment (Net) came in at $3,812, down 24.0% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 51.1% (FY2020 to FY2025).
- In prior years, Processa Pharmaceuticals' Property, Plant & Equipment (Net) was $5,016 in FY2024 (+96.4%) and $2,554 in FY2023.
- The Q2 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q2 2024.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last four quarters, with growth averaging 35.4% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q3 2024, with growth of 97.4%; the weakest was Q2 2026, with a decline of 27.3%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $3,511 (Q1 2026), $3,812 (Q4 2025) and $4,113 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 29.29 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 23.58 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 5.80 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 25.74 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 10.69 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 13.62 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 8.55 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 5.83 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 19.03 Bn |
| 10 | Processa Pharmaceuticals | 4.33 Mn | 4.33 Mn | - | 3,210.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3,210.00 |
| Mar 31, 2026 | 3,511.00 |
| Dec 31, 2025 | 3,812.00 |
| Sep 30, 2025 | 4,113.00 |
| Jun 30, 2025 | 4,414.00 |
| Mar 31, 2025 | 4,715.00 |
| Dec 31, 2024 | 5,016.00 |
| Sep 30, 2024 | 5,317.00 |
| Jun 30, 2024 | 2,276.00 |
| Mar 31, 2024 | 2,415.00 |
| Dec 31, 2023 | 2,554.00 |
| Sep 30, 2023 | 2,694.00 |
| Dec 31, 2020 | 484.00 |
| Sep 30, 2020 | 2,596.00 |
| Jun 30, 2020 | 4,707.00 |
| Mar 31, 2020 | 6,818.00 |
| Dec 31, 2019 | 8,930.00 |
| Sep 30, 2019 | 11,041.00 |
| Jun 30, 2019 | 13,152.00 |
| Mar 31, 2019 | 15,264.00 |
Processa Pharmaceuticals Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=PCSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=PCSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();