Pc Connection (CNXN) Interest Expenses (2010 - 2014)
Pc Connection's Interest Expenses came in at $107,000 for FY2020, unchanged from $107,000 in FY2019.
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Analysis
Pc Connection (CNXN) Interest Expenses (2010 - 2014) Analysis & Trends
Going back to FY2009, Pc Connection's Interest Expenses data covers 9 years.
- Per Business Quant, earlier years put Interest Expenses at $107,000 in FY2019 (-26.2%) and $145,000 in FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 12.57 Mn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 13.00 Mn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | - |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 22.08 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 66.46 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 76.25 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | - |
| 10 | Pc Connection | 2.26 Bn | 705.84 Mn | 157.47 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | 14,000.00 |
| Sep 30, 2014 | 36,000.00 |
| Jun 30, 2014 | 26,000.00 |
| Mar 31, 2014 | 10,000.00 |
| Dec 31, 2013 | 11,000.00 |
| Sep 30, 2013 | 39,000.00 |
| Jun 30, 2013 | 46,000.00 |
| Mar 31, 2013 | 53,000.00 |
| Dec 31, 2012 | 33,000.00 |
| Sep 30, 2012 | 69,000.00 |
| Jun 30, 2012 | 64,000.00 |
| Dec 31, 2011 | 148,000.00 |
| Sep 30, 2011 | 93,000.00 |
| Jun 30, 2011 | 87,000.00 |
| Mar 31, 2011 | 41,000.00 |
| Dec 31, 2010 | 185,000.00 |
| Sep 30, 2010 | 111,000.00 |
| Jun 30, 2010 | 95,000.00 |
API Access
Pc Connection 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=CNXN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "CNXN", "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=CNXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();