Gilead Sciences (GILD) Shares Outstanding (Diluted) (2009 - 2026)
Gilead Sciences (GILD) recorded Shares Outstanding (Diluted) of 1.24 billion in Q2 2026, down 1.0% from 1.26 billion a year earlier and down 0.9% from the prior quarter.
Gilead Sciences (GILD) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Gilead Sciences reported Shares Outstanding (Diluted) of 1.26 billion, unchanged from FY2024.
- Annual Shares Outstanding (Diluted) has a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 1.26 billion in FY2024 (-0.2%), 1.26 billion in FY2023 (-0.3%), 1.26 billion in FY2022 (unchanged) and 1.26 billion in FY2021 (-0.1%).
- The Q2 2026 figure is the lowest quarterly Shares Outstanding (Diluted) in data going back to Q1 2009.
- On a year-over-year basis, Shares Outstanding (Diluted) rose in two of the last eight quarters, with an average decline of 0.1%.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 1.0% in Q1 2025, against a decline of 1.1% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 1.25 billion (Q1 2026), 1.26 billion (Q4 2025) and 1.25 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 893.70 Mn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.44 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 1.56 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 544.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Vertex Pharmaceuticals | 127.87 Bn | 99.88 Bn | 2.84 Bn | 255.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.24 Bn |
| Mar 31, 2026 | 1.25 Bn |
| Dec 31, 2025 | 1.26 Bn |
| Sep 30, 2025 | 1.25 Bn |
| Jun 30, 2025 | 1.26 Bn |
| Mar 31, 2025 | 1.26 Bn |
| Dec 31, 2024 | 1.26 Bn |
| Sep 30, 2024 | 1.25 Bn |
| Jun 30, 2024 | 1.25 Bn |
| Mar 31, 2024 | 1.25 Bn |
| Dec 31, 2023 | 1.26 Bn |
| Sep 30, 2023 | 1.26 Bn |
| Jun 30, 2023 | 1.26 Bn |
| Mar 31, 2023 | 1.26 Bn |
| Dec 31, 2022 | 1.26 Bn |
| Sep 30, 2022 | 1.26 Bn |
| Jun 30, 2022 | 1.26 Bn |
| Mar 31, 2022 | 1.26 Bn |
| Dec 31, 2021 | 1.26 Bn |
| Sep 30, 2021 | 1.26 Bn |
Gilead Sciences 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=GILD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "GILD", "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=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();