Vir Biotechnology (VIR) Shares Outstanding (2018 - 2026)
Vir Biotechnology's Weighted Average Shares Outstanding was 169.28 million in Q3 2026, up 21.8% from 138.93 million a year earlier and up 0.9% from the prior quarter.
Vir Biotechnology (VIR) Shares Outstanding (2018 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at Vir Biotechnology came in at 138.52 million, up 1.7% from FY2024.
- Weighted Average Shares Outstanding has now increased for eight consecutive years, with a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 136.25 million in FY2024 (+1.6%), 134.13 million in FY2023 (+1.1%), 132.61 million in FY2022 (+2.1%) and 129.88 million in FY2021 (+9.0%).
- The Q3 2026 figure marks the highest quarterly Weighted Average Shares Outstanding in data going back to Q3 2018.
- Compared with a year earlier, Weighted Average Shares Outstanding has increased for 24 straight quarters, with growth averaging 7.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding ran from 1.1% in Q1 2023 to 21.8% in Q3 2026.
- Per Business Quant data, VIR's Weighted Average Shares Outstanding in the three quarters before Q3 2026 was 167.72 million (Q2 2026), 147.36 million (Q1 2026) and 138.52 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 891.90 Mn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 2.47 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 1.94 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 1.55 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 541.00 Mn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 1.24 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 5.70 Bn |
| 10 | Vir Biotechnology | 2.28 Bn | 363.84 Mn | 188,000.00 | 169.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 169.28 Mn |
| Jun 30, 2026 | 167.72 Mn |
| Mar 31, 2026 | 147.36 Mn |
| Dec 31, 2025 | 138.52 Mn |
| Sep 30, 2025 | 138.93 Mn |
| Jun 30, 2025 | 138.45 Mn |
| Mar 31, 2025 | 137.47 Mn |
| Dec 31, 2024 | 136.25 Mn |
| Sep 30, 2024 | 136.65 Mn |
| Jun 30, 2024 | 136.23 Mn |
| Mar 31, 2024 | 135.28 Mn |
| Dec 31, 2023 | 134.13 Mn |
| Sep 30, 2023 | 134.29 Mn |
| Jun 30, 2023 | 134.06 Mn |
| Mar 31, 2023 | 133.55 Mn |
| Dec 31, 2022 | 132.61 Mn |
| Sep 30, 2022 | 132.73 Mn |
| Jun 30, 2022 | 132.45 Mn |
| Mar 31, 2022 | 132.08 Mn |
| Dec 31, 2021 | 129.88 Mn |
Vir Biotechnology Shares Outstanding 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&ticker=VIR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "VIR", "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&ticker=VIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();