Enveric Biosciences (ENVB) Receivables (2015 - 2020)
Enveric Biosciences (ENVB) posted Receivables of $7.56 million for Q3 2020, down 0.6% from $7.61 million a year earlier but up 3.7% from the prior quarter.
Enveric Biosciences (ENVB) Receivables (2015 - 2020) Analysis & Trends
At the end of FY2019, Enveric Biosciences' Receivables came in at $6.38 million, down 18.9% from FY2018.
- Annual Receivables shows a four-year compound annual growth rate of 7.0% (FY2015 to FY2019).
- In prior years, Enveric Biosciences' Receivables was $7.87 million in FY2018 (-10.9%), $8.84 million in FY2017 (+9.7%), $8.06 million in FY2016 (+65.4%) and $4.87 million in FY2015.
- Quarterly Receivables has run from a low of $4.13 million in Q2 2016 to a high of $9.59 million in Q1 2017 over five years.
- On a year-over-year basis, Receivables has declined in each of the last five quarters, with an average decline of 5.5% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q2 2017, with growth of 111.0%; the weakest was Q4 2019, with a decline of 18.9%.
- According to Business Quant data, Receivables for the three prior quarters was $7.29 million (Q2 2020), $8.1 million (Q1 2020) and $6.38 million (Q4 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 19.05 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 13.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.56 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 9.64 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.68 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.23 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 5.06 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 12.49 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.13 Bn |
| 10 | Enveric Biosciences | 5.86 Mn | -15.78 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 7.56 Mn |
| Jun 30, 2020 | 7.29 Mn |
| Mar 31, 2020 | 8.10 Mn |
| Dec 31, 2019 | 6.38 Mn |
| Sep 30, 2019 | 7.61 Mn |
| Jun 30, 2019 | 8.54 Mn |
| Mar 31, 2019 | 8.90 Mn |
| Dec 31, 2018 | 7.87 Mn |
| Sep 30, 2018 | 7.83 Mn |
| Jun 30, 2018 | 7.94 Mn |
| Mar 31, 2018 | 8.46 Mn |
| Dec 31, 2017 | 8.84 Mn |
| Sep 30, 2017 | 9.17 Mn |
| Jun 30, 2017 | 8.72 Mn |
| Mar 31, 2017 | 9.59 Mn |
| Dec 31, 2016 | 8.06 Mn |
| Sep 30, 2016 | 7.72 Mn |
| Jun 30, 2016 | 4.13 Mn |
| Mar 31, 2016 | 4.93 Mn |
| Dec 31, 2015 | 4.87 Mn |
Enveric Biosciences Receivables 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=receivables&ticker=ENVB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ENVB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();