Cocrystal Pharma (COCP) Intangibles (2011 - 2013)
Cocrystal Pharma (COCP) posted Intangibles of $162,616 for Q2 2013, down 25.8% from $219,172 a year earlier and down 8.0% from the prior quarter.
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Analysis
Cocrystal Pharma (COCP) Intangibles (2011 - 2013) Analysis & Trends
At the end of FY2012, Cocrystal Pharma's Intangibles came in at $190,894, down 22.9% from FY2011.
- In prior years, Cocrystal Pharma's Intangibles was $247,450 in FY2011.
- On a year-over-year basis, Intangibles has declined in each of the last three quarters.
- According to Business Quant data, Intangibles for the three prior quarters was $176,755 (Q1 2013), $190,894 (Q4 2012) and $205,033 (Q3 2012).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 48.23 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 49.14 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 24.98 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 42.07 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 37.72 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 20.49 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 14.03 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 47.05 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 412.80 Mn |
| 10 | Cocrystal Pharma | 15.86 Mn | -6.05 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2013 | 162,616.00 |
| Mar 31, 2013 | 176,755.00 |
| Dec 31, 2012 | 190,894.00 |
| Sep 30, 2012 | 205,033.00 |
| Jun 30, 2012 | 219,172.00 |
| Mar 31, 2012 | 233,311.00 |
| Dec 31, 2011 | 247,450.00 |
API Access
Cocrystal Pharma Intangibles 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=intangibles&ticker=COCP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "COCP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=intangibles&ticker=COCP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();