Processa Pharmaceuticals (PCSA) Shares Outstanding (Diluted) (2016 - 2026)
Processa Pharmaceuticals' Weighted Average 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, Weighted Average Shares Outstanding (Diluted) at Processa Pharmaceuticals came in at 1.31 million, up 969.7% from FY2024.
- Weighted Average 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, Weighted Average 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 Weighted Average Shares Outstanding (Diluted) in data going back to Q4 2016.
- Compared with a year earlier, Weighted Average 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 Weighted Average Shares Outstanding (Diluted) ran from 0.0% in Q3 2021 to 969.7% in Q4 2025.
- Per Business Quant data, PCSA's Weighted Average 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 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.48 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.96 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.56 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 546.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.25 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.75 Bn |
| 10 | Processa Pharmaceuticals | 5.22 Mn | -8.52 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 | 10,078.00 |
| Dec 31, 2021 | 10,078.00 |
| Sep 30, 2021 | 10,078.00 |
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();