Ensysce Biosciences (ENSC) Other Operating Expenses (2018 - 2021)
Ensysce Biosciences (ENSC) reported Other Operating Expenses of $915,183 for Q1 2020, up 383.8% from $189,174 a year earlier but down 52.6% from the prior quarter.
Ensysce Biosciences (ENSC) Other Operating Expenses (2018 - 2021) Analysis & Trends
For FY2019, Ensysce Biosciences posted Other Operating Expenses of $3.33 million, up 454.8% from FY2018.
- By year, Other Operating Expenses came in at $600,005 in FY2018.
- Five-year quarterly Other Operating Expenses spans a low of $170,134 in Q1 2018 and a high of $1.93 million in Q4 2019.
- Year over year, Other Operating Expenses gained in three of the last four quarters, with growth averaging 123.3%.
- Per Business Quant data, the three quarters before Q1 2020 came in at $1.93 million (Q4 2019), $584,418 (Q3 2019) and $625,938 (Q2 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Ensysce Biosciences | 4.69 Mn | -3.04 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2021 | 20.02 Mn |
| Sep 30, 2020 | 19,755.00 |
| Mar 31, 2020 | 915,183.00 |
| Dec 31, 2019 | 1.93 Mn |
| Sep 30, 2019 | 584,418.00 |
| Jun 30, 2019 | 625,938.00 |
| Mar 31, 2019 | 189,174.00 |
| Sep 30, 2018 | 600,005.00 |
| Jun 30, 2018 | 311,538.00 |
| Mar 31, 2018 | 170,134.00 |
Ensysce Biosciences Other Operating Expenses 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=other-operating-expenses&ticker=ENSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "ENSC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=ENSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();