Processa Pharmaceuticals (PCSA) Gross Profit (2012 - 2016)
Processa Pharmaceuticals (PCSA) recorded Gross Profit of $5,000 in FY2016, compared with -$12,451 in FY2015.
Analysis
Processa Pharmaceuticals (PCSA) Gross Profit (2012 - 2016) Analysis & Trends
Starting with FY2012, Processa Pharmaceuticals' Gross Profit history includes 5 years.
- Annual Gross Profit has a four-year compound annual growth rate of -46.0% (FY2012 to FY2016).
- Annual Gross Profit has ranged from -$12,451 in FY2015 to $124,478 in FY2013 over the past five years.
- Per Business Quant data, PCSA's Gross Profit was -$12,451 in FY2015, $40,406 in FY2014 (-67.5%), $124,478 in FY2013 (+111.4%) and $58,890 in FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | Processa Pharmaceuticals | 4.81 Mn | -8.93 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 5,000.00 |
| Dec 31, 2015 | -40,792.00 |
| Sep 30, 2015 | 15,547.00 |
| Jun 30, 2015 | 9,033.00 |
| Mar 31, 2015 | 12,794.00 |
| Dec 31, 2014 | -40,774.00 |
| Sep 30, 2014 | 27,332.00 |
| Jun 30, 2014 | 42,643.00 |
| Mar 31, 2014 | 11,205.00 |
| Dec 31, 2013 | 36,188.00 |
| Sep 30, 2013 | 45,460.00 |
| Jun 30, 2013 | 35,755.00 |
| Mar 31, 2013 | 7,075.00 |
| Dec 31, 2012 | -1,655.00 |
| Sep 30, 2012 | 15,142.00 |
| Jun 30, 2012 | 43,194.00 |
API Access
Processa Pharmaceuticals Gross Profit 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=gross-profit&ticker=PCSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit", "ticker": "PCSA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gross-profit&ticker=PCSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();