Precision Biosciences (DTIL) Accumulated Expenses (2018 - 2020)
Precision Biosciences (DTIL) posted Accumulated Expenses of $1.44 million for fiscal Q3 2020 (quarter ended Sep 30, 2020), down 27.0% from $1.98 million a year earlier but up 2.9% from the prior quarter.
Precision Biosciences (DTIL) Accumulated Expenses (2018 - 2020) Analysis & Trends
At the end of FY2019 (ended Dec 31, 2019), Precision Biosciences' Accumulated Expenses came in at $1.58 million, up 78.6% from FY2018.
- In prior fiscal years, Precision Biosciences' Accumulated Expenses was $887,000 in FY2018.
- Quarterly Accumulated Expenses has run from a low of $887,000 in fiscal Q4 2018 to a high of $5.81 million in fiscal Q2 2019 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last three quarters, with an average decline of 17.3% over the last four quarters.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $1.4 million (Q2 2020), $2.43 million (Q1 2020) and $1.58 million (Q4 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Precision Biosciences | 167.32 Mn | -181.86 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 1.44 Mn |
| Jun 30, 2020 | 1.40 Mn |
| Mar 31, 2020 | 2.43 Mn |
| Dec 31, 2019 | 1.58 Mn |
| Sep 30, 2019 | 1.98 Mn |
| Jun 30, 2019 | 5.81 Mn |
| Mar 31, 2019 | 4.42 Mn |
| Dec 31, 2018 | 887,000.00 |
Precision Biosciences Accumulated 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=accumulated-expenses&ticker=DTIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "DTIL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();