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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.42 Bn | 1,106.00 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.98 Bn | 536.51 Bn | 17.26 Bn |
| 3 | AbbVie | 502.80 Bn | 475.92 Bn | 12.70 Bn |
| 4 | Merck | 368.67 Bn | 323.05 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.36 Bn | 262.35 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.17 Bn | 234.85 Bn | 12.86 Bn |
| 7 | Amgen | 237.18 Bn | 192.58 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.11 Bn | 165.31 Bn | 6.22 Bn |
| 9 | Pfizer | 169.83 Bn | 116.48 Bn | 10.94 Bn |
| 10 | Enveric Biosciences | 6.06 Mn | -15.58 Mn | - |
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 |
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_KEY
import 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();