Arvinas (ARVN) Shares Outstanding (2016 - 2026)
Arvinas' Weighted Average Shares Outstanding was 65.4 million in Q3 2026, down 10.7% from 73.2 million a year earlier but up 0.9% from the prior quarter.
Arvinas (ARVN) Shares Outstanding (2016 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at Arvinas came in at 70.9 million, down 1.4% from FY2024.
- Weighted Average Shares Outstanding shows a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 71.9 million in FY2024 (+29.5%), 55.5 million in FY2023 (+4.3%), 53.2 million in FY2022 (+6.4%) and 50 million in FY2021 (+26.5%).
- Quarterly Weighted Average Shares Outstanding has moved between 50 million (Q4 2021) and 73.2 million (Q3 2025) over five years.
- Compared with a year earlier, Weighted Average Shares Outstanding has declined for four straight quarters, with an average decline of 0.2% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding over five years was Q2 2024 (growth of 34.6%); the worst was Q1 2026 (a decline of 11.7%).
- Per Business Quant data, ARVN's Weighted Average Shares Outstanding in the three quarters before Q3 2026 was 64.8 million (Q2 2026), 64 million (Q1 2026) and 70.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 891.90 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.41 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 | 2.47 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.94 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.55 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 541.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.24 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.70 Bn |
| 10 | Arvinas | 453.26 Mn | -1.97 Bn | 400,000.00 | 65.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 65.40 Mn |
| Jun 30, 2026 | 64.80 Mn |
| Mar 31, 2026 | 64.00 Mn |
| Dec 31, 2025 | 70.90 Mn |
| Sep 30, 2025 | 73.20 Mn |
| Jun 30, 2025 | 73.00 Mn |
| Mar 31, 2025 | 72.50 Mn |
| Dec 31, 2024 | 71.90 Mn |
| Sep 30, 2024 | 72.10 Mn |
| Jun 30, 2024 | 71.90 Mn |
| Mar 31, 2024 | 71.70 Mn |
| Dec 31, 2023 | 55.50 Mn |
| Sep 30, 2023 | 54.10 Mn |
| Jun 30, 2023 | 53.40 Mn |
| Mar 31, 2023 | 53.30 Mn |
| Dec 31, 2022 | 53.20 Mn |
| Sep 30, 2022 | 53.20 Mn |
| Jun 30, 2022 | 53.20 Mn |
| Mar 31, 2022 | 53.00 Mn |
| Dec 31, 2021 | 50.00 Mn |
Arvinas 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=ARVN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "ARVN", "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=ARVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();