Hp (HPQ) Pension (2009 - 2016)
Hp's Pension was $2.08 billion in fiscal Q2 2016 (quarter ended Apr 30, 2016), down 2.3% from the prior quarter.
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Analysis
Hp (HPQ) Pension (2009 - 2016) Analysis & Trends
At the end of FY2015 (ended Oct 31, 2015), Pension at Hp came in at $2.2 billion, down 65.5% from FY2014.
- Pension shows a five-year compound annual growth rate of -20.1% (FY2010 to FY2015).
- In earlier fiscal years, Pension was $6.38 billion in FY2014 (+25.1%), $5.1 billion in FY2013 (-34.5%), $7.78 billion in FY2012 (+43.7%) and $5.41 billion in FY2011 (-19.8%).
- The fiscal Q2 2016 figure marks the lowest quarterly Pension in data going back to fiscal Q4 2009.
- Per Business Quant data, HPQ's Pension in the three fiscal quarters before Q2 2016 was $2.12 billion (Q1 2016), $2.2 billion (Q4 2015) and $5.31 billion (Q3 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn |
| 10 | Hp | 26.18 Bn | 11.45 Bn | 2.95 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2016 | 2.08 Bn |
| Jan 31, 2016 | 2.12 Bn |
| Oct 31, 2015 | 2.20 Bn |
| Jul 31, 2015 | 5.31 Bn |
| Oct 31, 2014 | 6.38 Bn |
| Jul 31, 2014 | 4.65 Bn |
| Apr 30, 2014 | 4.98 Bn |
| Oct 31, 2013 | 5.10 Bn |
| Oct 31, 2012 | 7.78 Bn |
| Oct 31, 2011 | 5.41 Bn |
| Oct 31, 2010 | 6.75 Bn |
| Oct 31, 2009 | 6.43 Bn |
API Access
Hp Pension 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=pension&ticker=HPQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=HPQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();