Palvella Therapeutics (PVLA) Shares Outstanding (Diluted) (2016 - 2026)
Palvella Therapeutics (PVLA) reported Shares Outstanding (Diluted) of 14.36 million for Q2 2026, up 29.9% from 11.05 million a year earlier and up 9.7% from the prior quarter.
Palvella Therapeutics (PVLA) Shares Outstanding (Diluted) (2016 - 2026) Analysis & Trends
For FY2025, Palvella Therapeutics posted Shares Outstanding (Diluted) of 11.25 million, up 405.5% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of -27.1% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 2.23 million in FY2024 (+24.1%), 1.79 million in FY2023 (-97.6%), 74.13 million in FY2022 (+14.8%) and 64.55 million in FY2021 (+18.5%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) since Q2 2023.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last eight quarters, with growth averaging 312.0% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q2 2025 (growth of 750.9%); the low point was Q2 2024 (a decline of 98.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 13.09 million (Q1 2026), 11.25 million (Q4 2025) and 11.06 million (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 | Palvella Therapeutics | 2.47 Bn | 2.23 Bn | - | 14.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.53 Mn |
| Jun 30, 2026 | 14.36 Mn |
| Mar 31, 2026 | 13.09 Mn |
| Dec 31, 2025 | 11.25 Mn |
| Sep 30, 2025 | 11.06 Mn |
| Jun 30, 2025 | 11.05 Mn |
| Mar 31, 2025 | 11.01 Mn |
| Dec 31, 2024 | 2.23 Mn |
| Sep 30, 2024 | 1.32 Mn |
| Jun 30, 2024 | 1.30 Mn |
| Mar 31, 2024 | 1.77 Mn |
| Dec 31, 2023 | 1.79 Mn |
| Sep 30, 2023 | 1.24 Mn |
| Jun 30, 2023 | 87.83 Mn |
| Mar 31, 2023 | 74.52 Mn |
| Dec 31, 2022 | 74.17 Mn |
| Sep 30, 2022 | 74.40 Mn |
| Jun 30, 2022 | 74.13 Mn |
| Mar 31, 2022 | 73.71 Mn |
| Dec 31, 2021 | 64.55 Mn |
Palvella Therapeutics 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=PVLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "PVLA", "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=PVLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();