Cocrystal Pharma (COCP) Tax Provisions (2010 - 2018)
Cocrystal Pharma's Tax Provisions came in at -$12.12 million for Q4 2018, compared with $6.88 million a year earlier.
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Analysis
Cocrystal Pharma (COCP) Tax Provisions (2010 - 2018) Analysis & Trends
For FY2018, Cocrystal Pharma's Tax Provisions was -$13.58 million.
- Going back by year, Tax Provisions was -$6.88 million in FY2017, -$29.39 million in FY2016, -$15.25 million in FY2015 and -$52,000 in FY2014.
- The Q4 2018 figure represents the lowest quarterly Tax Provisions in data going back to Q2 2010.
- Business Quant data shows COCP's Tax Provisions at -$483,000 (Q3 2018), -$554,000 (Q2 2018) and -$419,000 (Q1 2018) in the three quarters before Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.21 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 662.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 654.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -1.01 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -291.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 393.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 242.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -407.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 292.00 Mn |
| 10 | Cocrystal Pharma | 15.86 Mn | -6.05 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -12.12 Mn |
| Sep 30, 2018 | -483,000.00 |
| Jun 30, 2018 | -554,000.00 |
| Mar 31, 2018 | -419,000.00 |
| Dec 31, 2017 | 6.88 Mn |
| Dec 31, 2016 | 29.39 Mn |
| Dec 31, 2015 | 15.30 Mn |
| Jun 30, 2015 | -52,000.00 |
| Dec 31, 2010 | -95,945.00 |
| Sep 30, 2010 | 92,000.00 |
| Jun 30, 2010 | -40,000.00 |
API Access
Cocrystal Pharma Tax Provisions 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=tax-provisions&ticker=COCP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=COCP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();