Codexis (CDXS) Intangibles (2010 - 2016)
Codexis (CDXS) reported Intangibles of $281,000 for Q3 2016, down 92.3% from $3.66 million a year earlier and down 75.0% from the prior quarter.
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Analysis
Codexis (CDXS) Intangibles (2010 - 2016) Analysis & Trends
At the end of FY2015, Codexis posted Intangibles of $2.81 million, down 54.5% from FY2014.
- Intangibles has declined for five consecutive years, with a five-year compound annual growth rate of -32.6% (FY2010 to FY2015).
- By year, Intangibles came in at $6.19 million in FY2014 (-35.3%), $9.56 million in FY2013 (-26.1%), $12.93 million in FY2012 (-21.3%) and $16.44 million in FY2011 (-18.4%).
- The Q3 2016 figure ranks as the lowest quarterly Intangibles in data going back to Q4 2010.
- Year over year, Intangibles has now declined in each of the last 18 quarters, with an average decline of 56.2% over the last eight quarters.
- The year-over-year decline in Intangibles has ranged between 18.4% (Q4 2011) and 92.3% (Q3 2016) over the last five years.
- Per Business Quant data, the three quarters before Q3 2016 came in at $1.13 million (Q2 2016), $1.97 million (Q1 2016) and $2.81 million (Q4 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 18.61 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 17.21 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 21.36 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.14 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 10.24 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 5.74 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 6.92 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.38 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 448.00 Mn |
| 10 | Codexis | 127.03 Mn | -130.02 Mn | 11.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 281,000.00 |
| Jun 30, 2016 | 1.13 Mn |
| Mar 31, 2016 | 1.97 Mn |
| Dec 31, 2015 | 2.81 Mn |
| Sep 30, 2015 | 3.66 Mn |
| Jun 30, 2015 | 4.50 Mn |
| Mar 31, 2015 | 5.34 Mn |
| Dec 31, 2014 | 6.19 Mn |
| Sep 30, 2014 | 7.03 Mn |
| Jun 30, 2014 | 7.87 Mn |
| Mar 31, 2014 | 8.72 Mn |
| Dec 31, 2013 | 9.56 Mn |
| Sep 30, 2013 | 10.40 Mn |
| Jun 30, 2013 | 11.25 Mn |
| Mar 31, 2013 | 12.09 Mn |
| Dec 31, 2012 | 12.93 Mn |
| Sep 30, 2012 | 13.78 Mn |
| Jun 30, 2012 | 14.64 Mn |
| Mar 31, 2012 | 15.53 Mn |
| Dec 31, 2011 | 16.44 Mn |
API Access
Codexis 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=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();