Enveric Biosciences (ENVB) Restructuring Costs (2016 - 2018)
Enveric Biosciences (ENVB) posted Restructuring Costs of $95,285 for Q4 2018, up 4.8% from $90,949 a year earlier but down 58.2% from the prior quarter.
Powered by 
Analysis
Enveric Biosciences (ENVB) Restructuring Costs (2016 - 2018) Analysis & Trends
For FY2018, Enveric Biosciences' Restructuring Costs came in at $333,237, down 30.7% from FY2017.
- In prior years, Enveric Biosciences' Restructuring Costs was $481,123 in FY2017 (-69.6%) and $1.59 million in FY2016.
- Quarterly Restructuring Costs has run from a low of -$45,642 in Q4 2016 to a high of $1.02 million in Q3 2016 over five years.
- On a year-over-year basis, Restructuring Costs increased in 1 of the last five quarters, with an average decline of 52.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Enveric Biosciences | 5.86 Mn | -15.78 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 95,285.00 |
| Sep 30, 2018 | 227,952.00 |
| Mar 31, 2018 | 10,000.00 |
| Dec 31, 2017 | 90,949.00 |
| Sep 30, 2017 | 5,694.00 |
| Jun 30, 2017 | 175,136.00 |
| Mar 31, 2017 | 209,344.00 |
| Dec 31, 2016 | -45,642.00 |
| Sep 30, 2016 | 1.02 Mn |
| Jun 30, 2016 | 239,815.00 |
| Mar 31, 2016 | 375,405.00 |
API Access
Enveric Biosciences Restructuring Costs 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=restructuring-costs&ticker=ENVB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "ENVB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=restructuring-costs&ticker=ENVB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();