Liquidia (LQDA) Shares Outstanding (Diluted) (2019 - 2026)
Liquidia's Weighted Average Shares Outstanding (Diluted) was 101.4 million in Q2 2026, up 18.5% from 85.59 million a year earlier and up 0.3% from the prior quarter.
Liquidia (LQDA) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at Liquidia came in at 86.06 million, up 9.3% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has now increased for six consecutive years, with a five-year compound annual growth rate of 20.5% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 78.71 million in FY2024 (+21.1%), 64.99 million in FY2023 (+6.6%), 60.96 million in FY2022 (+22.7%) and 49.68 million in FY2021 (+46.6%).
- The Q2 2026 figure marks the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q4 2019.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has increased for 23 straight quarters, with growth averaging 15.4% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding (Diluted) has ranged between 0.6% (Q3 2023) and 83.2% (Q3 2021) over the last five years.
- Per Business Quant data, LQDA's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 101.11 million (Q1 2026), 86.06 million (Q4 2025) and 86.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 2.48 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | 1.96 Bn |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 1.56 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 546.00 Mn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 1.25 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 5.75 Bn |
| 10 | Liquidia | 4.27 Bn | 3.41 Bn | 160.13 Mn | 101.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101.40 Mn |
| Mar 31, 2026 | 101.11 Mn |
| Dec 31, 2025 | 86.06 Mn |
| Sep 30, 2025 | 86.33 Mn |
| Jun 30, 2025 | 85.59 Mn |
| Mar 31, 2025 | 85.17 Mn |
| Dec 31, 2024 | 78.71 Mn |
| Sep 30, 2024 | 78.32 Mn |
| Jun 30, 2024 | 76.44 Mn |
| Mar 31, 2024 | 75.39 Mn |
| Dec 31, 2023 | 64.99 Mn |
| Sep 30, 2023 | 64.86 Mn |
| Jun 30, 2023 | 64.79 Mn |
| Mar 31, 2023 | 64.66 Mn |
| Dec 31, 2022 | 60.96 Mn |
| Sep 30, 2022 | 64.46 Mn |
| Jun 30, 2022 | 62.18 Mn |
| Mar 31, 2022 | 52.47 Mn |
| Dec 31, 2021 | 49.68 Mn |
| Sep 30, 2021 | 52.08 Mn |
Liquidia 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=LQDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "LQDA", "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=LQDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();