Processa Pharmaceuticals (PCSA) Price to Sales (2014 - 2016)
Processa Pharmaceuticals' Price to Sales was 551.25 in Q4 2016, compared with 33.19 a year earlier and up 240.9% from the prior quarter.
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Analysis
Processa Pharmaceuticals (PCSA) Price to Sales (2014 - 2016) Analysis & Trends
From Q1 2014 onward, Processa Pharmaceuticals has reported Price to Sales for 12 quarters.
- In earlier years, Price to Sales was 39.05 in FY2015 (-78.5%) and 181.95 in FY2014.
- The Q4 2016 figure marks the highest quarterly Price to Sales in data going back to Q1 2014.
- Compared with a year earlier, Price to Sales was higher in three of the last seven quarters, with growth averaging 66.7%.
- Per Business Quant data, PCSA's Price to Sales in the three quarters before Q4 2016 was 161.70 (Q3 2016), 45.10 (Q2 2016) and 17.59 (Q1 2016).
Peer Set
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 | Processa Pharmaceuticals | 4.53 Mn | 4.53 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 551.25 |
| Sep 30, 2016 | 161.70 |
| Jun 30, 2016 | 45.10 |
| Mar 31, 2016 | 17.59 |
| Dec 31, 2015 | 33.19 |
| Sep 30, 2015 | 179.81 |
| Jun 30, 2015 | 311.45 |
| Mar 31, 2015 | 145.93 |
| Dec 31, 2014 | 181.79 |
| Sep 30, 2014 | 60.91 |
| Jun 30, 2014 | 60.36 |
| Mar 31, 2014 | 65.99 |
API Access
Processa Pharmaceuticals Price to Sales 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=price-to-sales&ticker=PCSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=PCSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();