Lyell Immunopharma (LYEL) Shares Outstanding (Diluted) (2020 - 2026)
Lyell Immunopharma (LYEL) reported Shares Outstanding (Diluted) of 23.36 million for Q2 2026, up 57.9% from 14.79 million a year earlier and up 6.8% from the prior quarter.
Lyell Immunopharma (LYEL) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Lyell Immunopharma posted Shares Outstanding (Diluted) of 17.09 million, up 30.7% from FY2024.
- Shares Outstanding (Diluted) has increased for six consecutive years, with a five-year compound annual growth rate of 91.5% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 13.07 million in FY2024 (+4.2%), 12.55 million in FY2023 (+1.6%), 12.35 million in FY2022 (+81.8%) and 6.8 million in FY2021 (+925.2%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2020.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last 17 quarters, with growth averaging 27.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 1.2% (Q3 2023) to 925.2% (Q4 2021).
- Per Business Quant data, the three quarters before Q2 2026 came in at 21.88 million (Q1 2026), 17.09 million (Q4 2025) and 18.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 893.70 Mn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 2.44 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 1.56 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 544.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Lyell Immunopharma | 220.17 Mn | 220.17 Mn | - | 23.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.36 Mn |
| Mar 31, 2026 | 21.88 Mn |
| Dec 31, 2025 | 17.09 Mn |
| Sep 30, 2025 | 18.27 Mn |
| Jun 30, 2025 | 14.79 Mn |
| Mar 31, 2025 | 14.75 Mn |
| Dec 31, 2024 | 13.07 Mn |
| Sep 30, 2024 | 12.82 Mn |
| Jun 30, 2024 | 12.77 Mn |
| Mar 31, 2024 | 12.71 Mn |
| Dec 31, 2023 | 12.55 Mn |
| Sep 30, 2023 | 12.57 Mn |
| Jun 30, 2023 | 12.51 Mn |
| Mar 31, 2023 | 12.48 Mn |
| Dec 31, 2022 | 12.35 Mn |
| Sep 30, 2022 | 12.42 Mn |
| Jun 30, 2022 | 12.32 Mn |
| Mar 31, 2022 | 12.21 Mn |
| Dec 31, 2021 | 6.80 Mn |
| Sep 30, 2021 | 11.97 Mn |
Lyell Immunopharma 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=LYEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "LYEL", "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=LYEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();