Emmaus Life Sciences (EMMA) Shares Outstanding (Entity) (2010 - 2026)
Emmaus Life Sciences' Shares Outstanding (Entity) was 70.19 million in Q2 2026, up 9.9% from 63.87 million a year earlier and unchanged from the prior quarter.
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Analysis
Emmaus Life Sciences (EMMA) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
From Q3 2010 onward, Emmaus Life Sciences has reported Shares Outstanding (Entity) for 61 quarters.
- Shares Outstanding (Entity) has now increased for six consecutive years, with a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Entity) was 63.87 million in FY2024 (+3.3%), 61.85 million in FY2023 (+24.7%), 49.58 million in FY2022 (+0.6%) and 49.31 million in FY2021 (+0.7%).
- Compared with a year earlier, Shares Outstanding (Entity) has increased for three straight quarters, with growth averaging 6.5% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Entity) has ranged between 0.0% (Q3 2021) and 24.7% (Q4 2023) over the last five years.
- Per Business Quant data, EMMA's Shares Outstanding (Entity) in the three quarters before Q2 2026 was 70.19 million (Q1 2026), 70.19 million (Q4 2025) and 63.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,170.90 Bn | 1,139.49 Bn | 19.71 Bn | 941.36 Mn |
| 2 | Johnson & Johnson | 643.26 Bn | 561.78 Bn | 17.26 Bn | 2.41 Bn |
| 3 | AbbVie | 501.85 Bn | 474.96 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 370.72 Bn | 325.10 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 302.56 Bn | 266.55 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 268.35 Bn | 242.04 Bn | 12.86 Bn | - |
| 7 | Amgen | 242.39 Bn | 197.79 Bn | 7.24 Bn | 540.60 Mn |
| 8 | Gilead Sciences | 193.22 Bn | 167.42 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 172.25 Bn | 118.90 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Emmaus Life Sciences | 3.51 Mn | -2.79 Mn | 5.97 Mn | 70.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.19 Mn |
| Mar 31, 2026 | 70.19 Mn |
| Dec 31, 2025 | 70.19 Mn |
| Sep 30, 2025 | 63.87 Mn |
| Jun 30, 2025 | 63.87 Mn |
| Mar 31, 2025 | 63.87 Mn |
| Dec 31, 2024 | 63.87 Mn |
| Sep 30, 2024 | 63.87 Mn |
| Jun 30, 2024 | 63.87 Mn |
| Mar 31, 2024 | 63.87 Mn |
| Dec 31, 2023 | 61.85 Mn |
| Sep 30, 2023 | 53.64 Mn |
| Jun 30, 2023 | 53.64 Mn |
| Mar 31, 2023 | 53.64 Mn |
| Dec 31, 2022 | 49.58 Mn |
| Sep 30, 2022 | 49.56 Mn |
| Jun 30, 2022 | 49.56 Mn |
| Mar 31, 2022 | 49.31 Mn |
| Dec 31, 2021 | 49.31 Mn |
| Sep 30, 2021 | 49.31 Mn |
API Access
Emmaus Life Sciences Shares Outstanding (Entity) 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-entity&ticker=EMMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=EMMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();