Atea Pharmaceuticals (AVIR) Shares Outstanding (Diluted) (2019 - 2026)
Atea Pharmaceuticals' Shares Outstanding (Diluted) came in at 80.05 million for Q2 2026, down 4.4% from 83.75 million a year earlier but up 1.1% from the prior quarter.
Atea Pharmaceuticals (AVIR) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, Atea Pharmaceuticals' Shares Outstanding (Diluted) was 81.5 million, down 3.3% from FY2024.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 30.4% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 84.26 million in FY2024 (+1.0%), 83.39 million in FY2023 (+0.2%), 83.25 million in FY2022 (-5.7%) and 88.25 million in FY2021 (+308.7%).
- The five-year range for quarterly Shares Outstanding (Diluted) is 79.05 million (Q3 2025) to 88.25 million (Q4 2021).
- Year-over-year, Shares Outstanding (Diluted) has declined for five consecutive quarters, with an average decline of 2.2% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q3 2021 (growth of 719.2%), and the weakest in Q1 2026 (a decline of 7.0%).
- Business Quant data shows AVIR's Shares Outstanding (Diluted) at 79.2 million (Q1 2026), 81.5 million (Q4 2025) and 79.05 million (Q3 2025) in the three quarters before Q2 2026.
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 | Atea Pharmaceuticals | 417.87 Mn | 417.87 Mn | - | 80.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.05 Mn |
| Mar 31, 2026 | 79.20 Mn |
| Dec 31, 2025 | 81.50 Mn |
| Sep 30, 2025 | 79.05 Mn |
| Jun 30, 2025 | 83.75 Mn |
| Mar 31, 2025 | 85.16 Mn |
| Dec 31, 2024 | 84.26 Mn |
| Sep 30, 2024 | 84.42 Mn |
| Jun 30, 2024 | 84.25 Mn |
| Mar 31, 2024 | 83.92 Mn |
| Dec 31, 2023 | 83.39 Mn |
| Sep 30, 2023 | 83.40 Mn |
| Jun 30, 2023 | 83.40 Mn |
| Mar 31, 2023 | 83.33 Mn |
| Dec 31, 2022 | 83.25 Mn |
| Sep 30, 2022 | 83.26 Mn |
| Jun 30, 2022 | 83.26 Mn |
| Mar 31, 2022 | 83.18 Mn |
| Dec 31, 2021 | 88.25 Mn |
| Sep 30, 2021 | 82.82 Mn |
Atea 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=AVIR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "AVIR", "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=AVIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();