Emmaus Life Sciences (EMMA) Intangibles (2015 - 2019)
Emmaus Life Sciences (EMMA) reported Intangibles of $74,300 for Q2 2019, down 16.0% from the prior quarter.
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Analysis
Emmaus Life Sciences (EMMA) Intangibles (2015 - 2019) Analysis & Trends
At the end of FY2018, Emmaus Life Sciences posted Intangibles of $102,400.
- Intangibles has a three-year compound annual growth rate of 98.5% (FY2015 to FY2018).
- By year, Intangibles came in at $60,200 in FY2017 (-30.9%), $87,100 in FY2016 (+564.9%) and $13,100 in FY2015.
- The Q2 2019 figure ranks as the lowest quarterly Intangibles since Q4 2017.
- Year over year, Intangibles gained in four of the last five quarters, with growth averaging 43.3%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 18.11 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 48.23 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 49.14 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 24.98 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 42.07 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 37.72 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 20.49 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 14.03 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 47.05 Bn |
| 10 | Emmaus Life Sciences | 3.51 Mn | -2.79 Mn | 5.97 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 74,300.00 |
| Mar 31, 2019 | 88,400.00 |
| Dec 31, 2018 | 102,400.00 |
| Sep 30, 2018 | 116,500.00 |
| Jun 30, 2018 | 130,500.00 |
| Mar 31, 2018 | 146,300.00 |
| Dec 31, 2017 | 158,300.00 |
| Sep 30, 2017 | 60,200.00 |
| Jun 30, 2017 | 88,200.00 |
| Mar 31, 2017 | 76,200.00 |
| Dec 31, 2016 | 81,900.00 |
| Sep 30, 2016 | 87,100.00 |
| Jun 30, 2016 | 77,200.00 |
| Mar 31, 2016 | 9,000.00 |
| Sep 30, 2015 | 13,100.00 |
API Access
Emmaus Life Sciences Intangibles 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=intangibles&ticker=EMMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=EMMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();