Cdw (CDW) Non Operating Interest Expenses (2009 - 2014)
Cdw's Non Operating Interest Expenses came in at $48.5 million for Q2 2014, down 31.0% from $70.3 million a year earlier and down 3.2% from the prior quarter.
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Analysis
Cdw (CDW) Non Operating Interest Expenses (2009 - 2014) Analysis & Trends
Over the trailing twelve months to Jun 30, 2014, Cdw reported Non Operating Interest Expenses of $206.3 million, down 29.8% year-over-year; for FY2013, it was $250.1 million, down 18.6% from FY2012.
- Non Operating Interest Expenses has declined in each of the last four years, with a four-year compound annual growth rate of -12.8% (FY2009 to FY2013).
- Going back by year, Non Operating Interest Expenses was $307.4 million in FY2012 (-5.2%), $324.2 million in FY2011 (-17.3%), $391.9 million in FY2010 (-9.2%) and $431.7 million in FY2009.
- The Q2 2014 figure represents the lowest quarterly Non Operating Interest Expenses in data going back to Q2 2010.
- Year-over-year, Non Operating Interest Expenses has declined for eight consecutive quarters, with an average decline of 19.3% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q2 2012 (growth of 17.0%), and the weakest in Q2 2011 (a decline of 38.3%).
- Business Quant data shows CDW's Non Operating Interest Expenses at $50.1 million (Q1 2014), $51.5 million (Q4 2013) and $56.2 million (Q3 2013) in the three quarters before Q2 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | 1.15 Bn |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 19.00 Mn |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | - |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | - |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | 22.08 Mn |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | - |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | - |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 91.85 Mn |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 6.34 Mn |
| 10 | Ingram Micro Holding | 6.46 Bn | 1.87 Bn | 996.93 Mn | 79.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2014 | 48.50 Mn |
| Mar 31, 2014 | 50.10 Mn |
| Dec 31, 2013 | 51.50 Mn |
| Sep 30, 2013 | 56.20 Mn |
| Jun 30, 2013 | 70.30 Mn |
| Mar 31, 2013 | 72.10 Mn |
| Dec 31, 2012 | 74.90 Mn |
| Sep 30, 2012 | 76.70 Mn |
| Jun 30, 2012 | 76.90 Mn |
| Mar 31, 2012 | 78.90 Mn |
| Dec 31, 2011 | 80.90 Mn |
| Sep 30, 2011 | 85.50 Mn |
| Jun 30, 2011 | 65.70 Mn |
| Mar 31, 2011 | 92.10 Mn |
| Dec 31, 2010 | 103.20 Mn |
| Sep 30, 2010 | 105.10 Mn |
| Jun 30, 2010 | 106.40 Mn |
| Mar 31, 2010 | -77.30 Mn |
| Dec 31, 2009 | 749.40 Mn |
API Access
Cdw 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=CDW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "CDW", "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=CDW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();