Zebra Technologies (ZBRA) Long-Term Investments (2009 - 2015)
Zebra Technologies' Long-Term Investments came in at $30.18 million for Q3 2015, up 44.3% from $20.92 million a year earlier and unchanged from the prior quarter.
Zebra Technologies (ZBRA) Long-Term Investments (2009 - 2015) Analysis & Trends
At the end of FY2014, Zebra Technologies' Long-Term Investments was $31.76 million, up 49.5% from FY2013.
- Long-Term Investments carries a five-year compound annual growth rate of -19.2% (FY2009 to FY2014).
- Going back by year, Long-Term Investments was $21.24 million in FY2013 (+131.0%), $9.2 million in FY2012 (-91.5%), $107.88 million in FY2011 (+26.2%) and $85.48 million in FY2010 (-7.1%).
- The five-year range for quarterly Long-Term Investments is $2.59 million (Q3 2013) to $155.85 million (Q3 2012).
- Year-over-year, Long-Term Investments increased in six of the last seven quarters, with growth averaging 159.1%.
- The fastest year-over-year change in Long-Term Investments over five years came in Q3 2014 (growth of 708.2%), and the weakest in Q3 2013 (a decline of 98.3%).
- Business Quant data shows ZBRA's Long-Term Investments at $30.18 million (Q2 2015), $30.18 million (Q1 2015) and $31.76 million (Q4 2014) in the three quarters before Q3 2015.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,825.63 Bn | 4,573.12 Bn | 54.77 Bn | 84.12 Bn |
| 2 | Cisco Systems | 429.17 Bn | 365.10 Bn | 11.06 Bn | - |
| 3 | Dell Technologies | 346.69 Bn | 302.44 Bn | 9.83 Bn | 2.70 Bn |
| 4 | Sandisk | 261.00 Bn | 249.52 Bn | 7.58 Bn | 1.78 Bn |
| 5 | Arista Networks | 257.88 Bn | 211.33 Bn | 1.91 Bn | - |
| 6 | Seagate Technology Holdings | 214.45 Bn | 209.44 Bn | 1.90 Bn | - |
| 7 | Western Digital | 166.98 Bn | 155.11 Bn | 2.03 Bn | - |
| 8 | Sony | 144.46 Bn | 94.85 Bn | 6.53 Bn | 2.19 Bn |
| 9 | Lumentum Holdings | 92.66 Bn | 84.47 Bn | 477.30 Mn | - |
| 10 | Zebra Technologies | 17.76 Bn | 16.31 Bn | 825.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2015 | 30.18 Mn |
| Jul 4, 2015 | 30.18 Mn |
| Apr 4, 2015 | 30.18 Mn |
| Dec 31, 2014 | 31.76 Mn |
| Sep 27, 2014 | 20.92 Mn |
| Jun 28, 2014 | 22.87 Mn |
| Mar 29, 2014 | 2.59 Mn |
| Dec 31, 2013 | 21.24 Mn |
| Sep 28, 2013 | 2.59 Mn |
| Jun 29, 2013 | 8.35 Mn |
| Mar 30, 2013 | 3.44 Mn |
| Dec 31, 2012 | 9.20 Mn |
| Sep 29, 2012 | 155.85 Mn |
| Jun 30, 2012 | 133.97 Mn |
| Mar 31, 2012 | 145.13 Mn |
| Dec 31, 2011 | 107.88 Mn |
| Oct 1, 2011 | 108.09 Mn |
| Jul 2, 2011 | 86.35 Mn |
| Apr 2, 2011 | 130.82 Mn |
| Dec 31, 2010 | 85.48 Mn |
Zebra Technologies Long-Term Investments 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=long-term-investments&ticker=ZBRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "ticker": "ZBRA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-investments&ticker=ZBRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();