Codexis (CDXS) Amortizatization of Intangibles (2010 - 2016)
Codexis' Amortizatization of Intangibles came in at $281,000 for Q4 2016, down 66.7% from $843,000 a year earlier and down 66.7% from the prior quarter.
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Analysis
Codexis (CDXS) Amortizatization of Intangibles (2010 - 2016) Analysis & Trends
For FY2016, Codexis' Amortizatization of Intangibles was $2.81 million, down 16.7% from FY2015.
- Amortizatization of Intangibles carries a five-year compound annual growth rate of -5.4% (FY2011 to FY2016).
- Going back by year, Amortizatization of Intangibles was $3.37 million in FY2015 (unchanged), $3.37 million in FY2014 (unchanged), $3.37 million in FY2013 (-3.8%) and $3.51 million in FY2012 (-5.6%).
- The Q4 2016 figure represents the lowest quarterly Amortizatization of Intangibles since Q3 2010.
- Over the past five years, the year-over-year decline in Amortizatization of Intangibles ranged from 0.0% (Q3 2016) to 66.7% (Q4 2016).
- Business Quant data shows CDXS's Amortizatization of Intangibles at $844,000 (Q3 2016), $843,000 (Q2 2016) and $844,000 (Q1 2016) in the three quarters before Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 485.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 658.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 463.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 24.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 175.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | - |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Codexis | 124.29 Mn | -132.76 Mn | 11.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 281,000.00 |
| Sep 30, 2016 | 844,000.00 |
| Jun 30, 2016 | 843,000.00 |
| Mar 31, 2016 | 844,000.00 |
| Dec 31, 2015 | 843,000.00 |
| Sep 30, 2015 | 844,000.00 |
| Jun 30, 2015 | 843,000.00 |
| Mar 31, 2015 | 844,000.00 |
| Dec 31, 2014 | 843,000.00 |
| Sep 30, 2014 | 844,000.00 |
| Jun 30, 2014 | 843,000.00 |
| Mar 31, 2014 | 844,000.00 |
| Dec 31, 2013 | 843,000.00 |
| Sep 30, 2013 | 844,000.00 |
| Jun 30, 2013 | 843,000.00 |
| Mar 31, 2013 | 844,000.00 |
| Dec 31, 2012 | 844,000.00 |
| Sep 30, 2012 | 859,000.00 |
| Jun 30, 2012 | 890,000.00 |
| Mar 31, 2012 | 916,000.00 |
API Access
Codexis Amortizatization of 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=amortizatization-of-intangibles&ticker=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "CDXS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();