Hp (HPQ) Operating Interest Expenses (2012 - 2015)
Hp's Operating Interest Expenses came in at $58 million for fiscal Q4 2015 (quarter ended Oct 31, 2015), down 12.1% from $66 million a year earlier and unchanged from the prior quarter.
Hp (HPQ) Operating Interest Expenses (2012 - 2015) Analysis & Trends
For FY2015 (ended Oct 31, 2015), Hp's Operating Interest Expenses was $240 million, down 13.4% from FY2014.
- Operating Interest Expenses has declined in each of the last three fiscal years, with a four-year compound annual growth rate of -5.9% (FY2011 to FY2015).
- Going back by fiscal year, Operating Interest Expenses was $277 million in FY2014 (-11.2%), $312 million in FY2013 (-1.6%), $317 million in FY2012 (+3.6%) and $306 million in FY2011.
- The five-year range for quarterly Operating Interest Expenses is $58 million (fiscal Q3 2015) to $81 million (fiscal Q2 2013).
- Year-over-year, Operating Interest Expenses has declined for ten consecutive quarters, with an average decline of 12.3% over the last eight quarters.
- The fastest year-over-year change in Operating Interest Expenses over five years came in fiscal Q2 2013 (growth of 1.3%), and the weakest in fiscal Q3 2015 (a decline of 17.1%).
- Business Quant data shows HPQ's Operating Interest Expenses at $58 million (Q3 2015), $61 million (Q2 2015) and $63 million (Q1 2015) in the three fiscal quarters before Q4 2015.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn | - |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn | - |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | - |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | - |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | - |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | - |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn | - |
| 10 | Hp | 27.78 Bn | 13.05 Bn | 2.95 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2015 | 58.00 Mn |
| Jul 31, 2015 | 58.00 Mn |
| Apr 30, 2015 | 61.00 Mn |
| Jan 31, 2015 | 63.00 Mn |
| Oct 31, 2014 | 66.00 Mn |
| Jul 31, 2014 | 70.00 Mn |
| Apr 30, 2014 | 69.00 Mn |
| Jan 31, 2014 | 72.00 Mn |
| Oct 31, 2013 | 74.00 Mn |
| Jul 31, 2013 | 77.00 Mn |
| Apr 30, 2013 | 81.00 Mn |
| Jan 31, 2013 | 80.00 Mn |
| Oct 31, 2012 | 79.00 Mn |
| Jul 31, 2012 | 80.00 Mn |
| Apr 30, 2012 | 80.00 Mn |
Hp 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=operating-interest-expenses&ticker=HPQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-expenses", "ticker": "HPQ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-interest-expenses&ticker=HPQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();