Processa Pharmaceuticals (PCSA) Shares Outstanding (Diluted) (2016 - 2026)
Processa Pharmaceuticals' Shares Outstanding (Diluted) was 2.75 million in Q2 2026, up 341.7% from 622,772 a year earlier and up 4.9% from the prior quarter.
Processa Pharmaceuticals (PCSA) Shares Outstanding (Diluted) (2016 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Processa Pharmaceuticals came in at 1.31 million, up 969.7% from FY2024.
- Shares Outstanding (Diluted) has now increased for four consecutive years, with a five-year compound annual growth rate of 168.9% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 122,396 in FY2024 (+133.3%), 52,463 in FY2023 (+62.8%), 32,219 in FY2022 (+246.0%) and 9,313 in FY2021 (unchanged).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Diluted) in data going back to Q4 2016.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for 17 straight quarters, with growth averaging 442.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 0.0% in Q3 2021 to 969.7% in Q4 2025.
- Per Business Quant data, PCSA's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 2.62 million (Q1 2026), 1.31 million (Q4 2025) and 993,554 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.44 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 1.96 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.56 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 544.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 255.20 Mn |
| 10 | Processa Pharmaceuticals | 4.58 Mn | 4.58 Mn | - | 2.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.75 Mn |
| Mar 31, 2026 | 2.62 Mn |
| Dec 31, 2025 | 1.31 Mn |
| Sep 30, 2025 | 993,554.00 |
| Jun 30, 2025 | 622,772.00 |
| Mar 31, 2025 | 381,072.00 |
| Dec 31, 2024 | 122,396.00 |
| Sep 30, 2024 | 131,040.00 |
| Jun 30, 2024 | 119,331.00 |
| Mar 31, 2024 | 98,661.00 |
| Dec 31, 2023 | 52,463.00 |
| Sep 30, 2023 | 54,006.00 |
| Jun 30, 2023 | 53,871.00 |
| Mar 31, 2023 | 45,543.00 |
| Dec 31, 2022 | 32,219.00 |
| Sep 30, 2022 | 32,400.00 |
| Jun 30, 2022 | 31,881.00 |
| Mar 31, 2022 | 9,313.00 |
| Dec 31, 2021 | 9,313.00 |
| Sep 30, 2021 | 9,313.00 |
Processa Pharmaceuticals Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=PCSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=PCSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();