Processa Pharmaceuticals (PCSA) Return on Sales [ROS] (2012 - 2016)
Processa Pharmaceuticals (PCSA) posted Return on Sales [ROS] of -1430.52% for Q4 2016, down 189.77 percentage points from -1240.75% a year earlier and down 67.87 percentage points from the prior quarter.
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Analysis
Processa Pharmaceuticals (PCSA) Return on Sales [ROS] (2012 - 2016) Analysis & Trends
Since Q2 2012, Processa Pharmaceuticals has reported Return on Sales [ROS] for 19 quarters.
- Annual Return on Sales [ROS] shows a four-year change of -247.68 percentage points (FY2012 to FY2016).
- In prior years, Processa Pharmaceuticals' Return on Sales [ROS] was -2372.57% in FY2015 (+770.27 pp), -3142.84% in FY2014 (-2195.16 pp), -947.68% in FY2013 (+235.16 pp) and -1182.84% in FY2012.
- Quarterly Return on Sales [ROS] has run from a low of -9389.49% in Q2 2015 to a high of -214.70% in Q3 2015 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +813.05 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2016, with a gain of 8860.75 percentage points; the weakest was Q2 2015, with a drop of 8735.21 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -1362.65% (Q3 2016), -528.74% (Q2 2016) and -1510.30% (Q1 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 28.37% |
| 10 | Processa Pharmaceuticals | 4.53 Mn | 4.53 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | -1,430.52% |
| Sep 30, 2016 | -1,362.65% |
| Jun 30, 2016 | -528.74% |
| Mar 31, 2016 | -1,510.30% |
| Dec 31, 2015 | -1,240.75% |
| Sep 30, 2015 | -214.70% |
| Jun 30, 2015 | -9,389.49% |
| Mar 31, 2015 | -1,213.94% |
| Dec 31, 2014 | -3,140.21% |
| Sep 30, 2014 | -1,257.66% |
| Jun 30, 2014 | -654.28% |
| Mar 31, 2014 | -6,284.45% |
| Dec 31, 2013 | -1,130.78% |
| Sep 30, 2013 | -535.64% |
| Jun 30, 2013 | -712.59% |
| Mar 31, 2013 | -4,172.48% |
| Dec 31, 2012 | -2,440.49% |
| Sep 30, 2012 | -1,158.02% |
| Jun 30, 2012 | -417.60% |
API Access
Processa Pharmaceuticals Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PCSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PCSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();