Emmaus Life Sciences (EMMA) EV to EBITDA (2012 - 2026)
Emmaus Life Sciences' (EMMA) EV to EBITDA was -0.46 for Q2 2026.
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Analysis
Emmaus Life Sciences (EMMA) EV to EBITDA (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Emmaus Life Sciences' EV to EBITDA came in at -1.21; for FY2025, it came in at -5.28.
- By year, EV to EBITDA came in at 1.02 in FY2023.
- The Q2 2026 figure ranks as the highest quarterly EV to EBITDA since Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn |
| 10 | Emmaus Life Sciences | 4.21 Mn | -2.09 Mn | 5.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.40 |
| Mar 31, 2026 | -0.35 |
| Dec 31, 2025 | -1.72 |
| Mar 31, 2025 | -0.28 |
| Sep 30, 2024 | 0.47 |
| Jun 30, 2024 | 4.37 |
| Mar 31, 2024 | 1.04 |
| Dec 31, 2023 | 0.59 |
| Sep 30, 2023 | 1.56 |
| Jun 30, 2023 | 4.50 |
| Sep 30, 2021 | 51.26 |
| Jun 30, 2021 | 30.38 |
| Mar 31, 2021 | 119.71 |
| Dec 31, 2020 | 14.25 |
| Sep 30, 2020 | 7.83 |
| Jun 30, 2020 | 6.44 |
| Mar 31, 2020 | 1.41 |
| Dec 31, 2019 | 3.40 |
| Sep 30, 2019 | 6.15 |
| Jun 30, 2019 | 5.79 |
API Access
Emmaus Life Sciences EV to EBITDA 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=ev-to-ebitda&ticker=EMMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=EMMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();