Hp (HPQ) Asset Writedowns and Impairment (2009 - 2017)
Hp (HPQ) posted Asset Writedowns and Impairment of -$2 million for fiscal Q1 2017 (quarter ended Jan 31, 2017), compared with $34 million a year earlier.
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Analysis
Hp (HPQ) Asset Writedowns and Impairment (2009 - 2017) Analysis & Trends
For the trailing twelve months through Jan 31, 2017, Asset Writedowns and Impairment at Hp was $59 million, down 78.5% year-over-year; for FY2016 (ended Oct 31, 2016), it was $95 million, down 68.9% from FY2015.
- Annual Asset Writedowns and Impairment shows a five-year compound annual growth rate of -36.0% (FY2011 to FY2016).
- In prior fiscal years, Hp's Asset Writedowns and Impairment was $305 million in FY2015 (+44.5%), $211 million in FY2014 (-23.3%), $275 million in FY2013 (-98.5%) and $18.04 billion in FY2012.
- Quarterly Asset Writedowns and Impairment has run from a low of -$15 million in fiscal Q2 2016 to a high of $9.19 billion in fiscal Q3 2012 over five years.
- On a year-over-year basis, Asset Writedowns and Impairment increased in three of the last six quarters, with growth averaging 6.2%.
- The strongest year-over-year quarter for Asset Writedowns and Impairment in the past five years was fiscal Q1 2013, with growth of 170.6%; the weakest was fiscal Q3 2013, with a decline of 99.5%.
- According to Business Quant data, Asset Writedowns and Impairment for the three prior fiscal quarters was $19 million (Q4 2016), $57 million (Q3 2016) and -$15 million (Q2 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2017 | -2.00 Mn |
| Oct 31, 2016 | 19.00 Mn |
| Jul 31, 2016 | 57.00 Mn |
| Apr 30, 2016 | -15.00 Mn |
| Jan 31, 2016 | 34.00 Mn |
| Oct 31, 2015 | 78.00 Mn |
| Jul 31, 2015 | 92.00 Mn |
| Apr 30, 2015 | 71.00 Mn |
| Jan 31, 2015 | 64.00 Mn |
| Oct 31, 2014 | 45.00 Mn |
| Jul 31, 2014 | 67.00 Mn |
| Apr 30, 2014 | 38.00 Mn |
| Jan 31, 2014 | 61.00 Mn |
| Oct 31, 2013 | 53.00 Mn |
| Jul 31, 2013 | 44.00 Mn |
| Apr 30, 2013 | 86.00 Mn |
| Jan 31, 2013 | 92.00 Mn |
| Oct 31, 2012 | 8.85 Bn |
| Jul 31, 2012 | 9.19 Bn |
| Apr 30, 2012 | 56.00 Mn |
API Access
Hp Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=HPQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=HPQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();