Codexis (CDXS) Interest Expenses (2010 - 2012)
Codexis' Interest Expenses came in at $157,000 for Q2 2012, compared with -$16,000 a year earlier and up 33.1% from the prior quarter.
Codexis (CDXS) Interest Expenses (2010 - 2012) Analysis & Trends
Over the trailing twelve months to Jun 30, 2012, Codexis reported Interest Expenses of $983,000, up 538.3% year-over-year; for FY2011, it was $675,000, down 43.7% from FY2010.
- Going back by year, Interest Expenses was $1.2 million in FY2010 (-41.1%) and $2.04 million in FY2009.
- The five-year range for quarterly Interest Expenses is -$17,000 (Q1 2011) to $654,000 (Q2 2010).
- Business Quant data shows CDXS's Interest Expenses at $118,000 (Q1 2012), $297,000 (Q4 2011) and $411,000 (Q3 2011) in the three quarters before Q2 2012.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Codexis | 127.03 Mn | -130.02 Mn | 11.40 Mn | - |
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 |
Codexis 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=interest-expenses&ticker=CDXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();