Biocryst Pharmaceuticals (BCRX) Work In Process (2015 - 2017)
Biocryst Pharmaceuticals' Work In Process came in at $1.31 million for Q2 2017, down 33.0% from $1.95 million a year earlier but up 99.2% from the prior quarter.
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Analysis
Biocryst Pharmaceuticals (BCRX) Work In Process (2015 - 2017) Analysis & Trends
At the end of FY2016, Biocryst Pharmaceuticals' Work In Process was $500,000, down 69.0% from FY2015.
- Going back by year, Work In Process was $1.61 million in FY2015.
- The five-year range for quarterly Work In Process is $500,000 (Q4 2016) to $2.23 million (Q3 2016).
- Year-over-year, Work In Process has declined for three consecutive quarters.
- Business Quant data shows BCRX's Work In Process at $655,000 (Q1 2017), $500,000 (Q4 2016) and $2.23 million (Q3 2016) in the three quarters before Q2 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Biocryst Pharmaceuticals | 2.16 Bn | 1.08 Bn | 214.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | 1.31 Mn |
| Mar 31, 2017 | 655,000.00 |
| Dec 31, 2016 | 500,000.00 |
| Sep 30, 2016 | 2.23 Mn |
| Jun 30, 2016 | 1.95 Mn |
| Mar 31, 2016 | 1.95 Mn |
| Dec 31, 2015 | 1.61 Mn |
API Access
Biocryst Pharmaceuticals Work In Process 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=work-in-process&ticker=BCRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "work-in-process", "ticker": "BCRX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=work-in-process&ticker=BCRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();