Processa Pharmaceuticals (PCSA) Change in Inventory (2012 - 2015)
Processa Pharmaceuticals (PCSA) posted Change in Inventory of $31,898 for Q4 2015, compared with -$16,878 a year earlier and down 62.7% from the prior quarter.
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Analysis
Processa Pharmaceuticals (PCSA) Change in Inventory (2012 - 2015) Analysis & Trends
For FY2015, Processa Pharmaceuticals' Change in Inventory came in at -$7,065.
- In prior years, Processa Pharmaceuticals' Change in Inventory was -$73,085 in FY2014, -$97,369 in FY2013 and -$48,749 in FY2012.
- Quarterly Change in Inventory has run from a low of -$135,732 in Q2 2013 to a high of $85,485 in Q3 2015 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 150.00 Mn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 148.00 Mn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | - |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 105.00 Mn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 252.00 Mn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | - |
| 10 | Processa Pharmaceuticals | 5.21 Mn | -8.53 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 31,898.00 |
| Sep 30, 2015 | 85,485.00 |
| Mar 31, 2015 | -124,448.00 |
| Dec 31, 2014 | -16,878.00 |
| Sep 30, 2014 | 5,526.00 |
| Jun 30, 2014 | 57,503.00 |
| Mar 31, 2014 | -119,236.00 |
| Dec 31, 2013 | 60,883.00 |
| Sep 30, 2013 | -8,629.00 |
| Jun 30, 2013 | -135,732.00 |
| Mar 31, 2013 | -13,891.00 |
| Dec 31, 2012 | -934.00 |
| Sep 30, 2012 | 14,659.00 |
API Access
Processa Pharmaceuticals Change in Inventory 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=change-in-inventory&ticker=PCSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=PCSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();