Codexis (CDXS) Non Operating Interest Expenses (2009 - 2012)
Codexis (CDXS) posted Non Operating Interest Expenses of -$10,000 for FY2019.
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Analysis
Codexis (CDXS) Non Operating Interest Expenses (2009 - 2012) Analysis & Trends
Since FY2009, Codexis has reported Non Operating Interest Expenses for 6 years.
- The FY2019 figure stands as the highest annual Non Operating Interest Expenses since FY2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 417.00 Mn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 350.00 Mn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 135.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 143.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 100.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | - |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | - |
| 10 | Codexis | 127.04 Mn | -143.91 Mn | 15.25 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2012 | 157,000.00 |
| Mar 31, 2012 | 118,000.00 |
| Dec 31, 2011 | 297,000.00 |
| Sep 30, 2011 | 411,000.00 |
| Jun 30, 2011 | -16,000.00 |
| Mar 31, 2011 | -17,000.00 |
| Dec 31, 2010 | 152,000.00 |
| Sep 30, 2010 | 35,000.00 |
| Jun 30, 2010 | 654,000.00 |
| Mar 31, 2010 | -358,000.00 |
| Dec 31, 2009 | 3.57 Mn |
| Sep 30, 2009 | -744,000.00 |
| Jun 30, 2009 | -358,000.00 |
| Mar 31, 2009 | -427,000.00 |
API Access
Codexis Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();