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.
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Analysis
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 Set
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 | Precision Biosciences | 264.98 Mn | -121.18 Mn | - |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();