Emmaus Life Sciences (EMMA) Shares Outstanding (Diluted) (2010 - 2026)
Emmaus Life Sciences' Shares Outstanding (Diluted) was 120.54 million in Q2 2026, up 88.7% from 63.87 million a year earlier and up 71.7% from the prior quarter.
Emmaus Life Sciences (EMMA) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Emmaus Life Sciences came in at 64.04 million, up 1.3% from FY2024.
- Shares Outstanding (Diluted) has now increased for four consecutive years, with a five-year compound annual growth rate of 276.4% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 63.23 million in FY2024 (+19.1%), 53.11 million in FY2023 (+7.4%), 49.44 million in FY2022 (+0.4%) and 49.25 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Diluted) since Q3 2024.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for three straight quarters, with growth averaging 10.0% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q3 2023 (growth of 179.2%); the worst was Q3 2025 (a decline of 60.8%).
- Per Business Quant data, EMMA's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 70.19 million (Q1 2026), 64.04 million (Q4 2025) and 63.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 893.70 Mn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 2.44 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 1.56 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 544.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Emmaus Life Sciences | 3.51 Mn | -2.79 Mn | 5.97 Mn | 120.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 120.54 Mn |
| Mar 31, 2026 | 70.19 Mn |
| Dec 31, 2025 | 64.04 Mn |
| Sep 30, 2025 | 63.87 Mn |
| Jun 30, 2025 | 63.87 Mn |
| Mar 31, 2025 | 63.87 Mn |
| Dec 31, 2024 | 63.23 Mn |
| Sep 30, 2024 | 162.73 Mn |
| Jun 30, 2024 | 63.36 Mn |
| Mar 31, 2024 | 61.85 Mn |
| Dec 31, 2023 | 53.11 Mn |
| Sep 30, 2023 | 138.38 Mn |
| Jun 30, 2023 | 52.87 Mn |
| Mar 31, 2023 | 50.71 Mn |
| Dec 31, 2022 | 49.44 Mn |
| Sep 30, 2022 | 49.56 Mn |
| Jun 30, 2022 | 49.32 Mn |
| Mar 31, 2022 | 49.31 Mn |
| Dec 31, 2021 | 49.25 Mn |
| Sep 30, 2021 | 49.31 Mn |
Emmaus Life 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=EMMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "EMMA", "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=EMMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();