Vertex Pharmaceuticals (VRTX) Shares Outstanding (2009 - 2026)
Vertex Pharmaceuticals (VRTX) reported Shares Outstanding of 253.7 million for Q2 2026, down 1.2% from 256.7 million a year earlier and down 0.2% from the prior quarter.
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Analysis
Vertex Pharmaceuticals (VRTX) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Vertex Pharmaceuticals posted Shares Outstanding of 255.7 million, down 0.9% from FY2024.
- Shares Outstanding has a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- By year, Shares Outstanding came in at 257.9 million in FY2024 (+0.1%), 257.7 million in FY2023 (+0.6%), 256.1 million in FY2022 (-0.6%) and 257.7 million in FY2021 (-0.8%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding since Q1 2018.
- Year over year, Shares Outstanding has now declined in each of the last six quarters, with an average decline of 0.6% over the last eight quarters.
- The high point for year-over-year Shares Outstanding in five years was Q1 2023 (growth of 0.9%); the low point was Q1 2022 (a decline of 1.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 254.1 million (Q1 2026), 255.7 million (Q4 2025) and 255.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 892.40 Mn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 2.41 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 | 1.94 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 1.55 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 540.00 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 | 253.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 253.70 Mn |
| Mar 31, 2026 | 254.10 Mn |
| Dec 31, 2025 | 255.70 Mn |
| Sep 30, 2025 | 255.60 Mn |
| Jun 30, 2025 | 256.70 Mn |
| Mar 31, 2025 | 256.90 Mn |
| Dec 31, 2024 | 257.90 Mn |
| Sep 30, 2024 | 258.00 Mn |
| Jun 30, 2024 | 258.10 Mn |
| Mar 31, 2024 | 258.20 Mn |
| Dec 31, 2023 | 257.70 Mn |
| Sep 30, 2023 | 258.00 Mn |
| Jun 30, 2023 | 257.70 Mn |
| Mar 31, 2023 | 257.40 Mn |
| Dec 31, 2022 | 256.10 Mn |
| Sep 30, 2022 | 256.50 Mn |
| Jun 30, 2022 | 255.90 Mn |
| Mar 31, 2022 | 255.10 Mn |
| Dec 31, 2021 | 257.70 Mn |
| Sep 30, 2021 | 257.88 Mn |
API Access
Vertex Pharmaceuticals 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=VRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();