Vertex Pharmaceuticals (VRTX) Shares Outstanding (Diluted) (2009 - 2026)
Vertex Pharmaceuticals (VRTX) reported Shares Outstanding (Diluted) of 255.2 million for Q2 2026, down 1.4% from 258.9 million a year earlier and down 0.4% from the prior quarter.
Vertex Pharmaceuticals (VRTX) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Vertex Pharmaceuticals posted Shares Outstanding (Diluted) of 258 million, unchanged from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 257.9 million in FY2024 (-1.0%), 260.5 million in FY2023 (+0.5%), 259.1 million in FY2022 (-0.3%) and 259.9 million in FY2021 (-1.3%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding (Diluted) since Q4 2017.
- Year over year, Shares Outstanding (Diluted) gained in two of the last eight quarters, with an average decline of 0.6%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q1 2023 (growth of 0.9%); the low point was Q3 2021 (a decline of 1.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 256.3 million (Q1 2026), 258 million (Q4 2025) and 257.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 893.70 Mn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 2.44 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 1.56 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 544.00 Mn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Vertex Pharmaceuticals | 126.70 Bn | 98.70 Bn | 2.84 Bn | 255.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 255.20 Mn |
| Mar 31, 2026 | 256.30 Mn |
| Dec 31, 2025 | 258.00 Mn |
| Sep 30, 2025 | 257.60 Mn |
| Jun 30, 2025 | 258.90 Mn |
| Mar 31, 2025 | 259.50 Mn |
| Dec 31, 2024 | 257.90 Mn |
| Sep 30, 2024 | 261.00 Mn |
| Jun 30, 2024 | 258.10 Mn |
| Mar 31, 2024 | 261.10 Mn |
| Dec 31, 2023 | 260.50 Mn |
| Sep 30, 2023 | 260.60 Mn |
| Jun 30, 2023 | 260.40 Mn |
| Mar 31, 2023 | 260.30 Mn |
| Dec 31, 2022 | 259.10 Mn |
| Sep 30, 2022 | 259.50 Mn |
| Jun 30, 2022 | 258.70 Mn |
| Mar 31, 2022 | 257.90 Mn |
| Dec 31, 2021 | 259.90 Mn |
| Sep 30, 2021 | 259.71 Mn |
Vertex 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=VRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "VRTX", "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=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();