Plexus (PLXS) Land & Improvements (2010 - 2015)
Plexus (PLXS) posted Land & Improvements of $278.64 million for fiscal Q4 2015 (quarter ended Oct 3, 2015), down 1.7% from $283.57 million a year earlier and down 0.2% from the prior quarter.
Plexus (PLXS) Land & Improvements (2010 - 2015) Analysis & Trends
Since fiscal Q4 2010, Plexus has reported Land & Improvements for 19 quarters.
- Annual Land & Improvements shows a five-year compound annual growth rate of 15.1% (FY2010 to FY2015).
- In prior fiscal years, Plexus' Land & Improvements was $283.57 million in FY2014 (+33.6%), $212.2 million in FY2013 (+24.4%), $170.56 million in FY2012 (+19.1%) and $143.25 million in FY2011 (+3.6%).
- Quarterly Land & Improvements has run from a low of $143.25 million in fiscal Q4 2011 to a high of $283.57 million in fiscal Q4 2014 over five years.
- On a year-over-year basis, Land & Improvements increased in seven of the last eight quarters, with growth averaging 19.8%.
- The strongest year-over-year quarter for Land & Improvements in the past five years was fiscal Q1 2014, with growth of 43.7%; the weakest was fiscal Q4 2015, with a decline of 1.7%.
- According to Business Quant data, Land & Improvements for the three prior fiscal quarters was $279.15 million (Q3 2015), $278.42 million (Q2 2015) and $282.13 million (Q1 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | - |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | - |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | - |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | - |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | - |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | - |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | - |
| 10 | Plexus | 7.07 Bn | 5.90 Bn | 131.38 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2015 | 278.64 Mn |
| Jul 4, 2015 | 279.15 Mn |
| Apr 4, 2015 | 278.42 Mn |
| Jan 3, 2015 | 282.13 Mn |
| Sep 27, 2014 | 283.57 Mn |
| Jun 28, 2014 | 268.21 Mn |
| Mar 29, 2014 | 263.85 Mn |
| Dec 28, 2013 | 267.61 Mn |
| Sep 28, 2013 | 212.20 Mn |
| Jun 29, 2013 | 211.89 Mn |
| Mar 30, 2013 | 186.76 Mn |
| Dec 29, 2012 | 186.19 Mn |
| Sep 29, 2012 | 170.56 Mn |
| Jun 30, 2012 | 169.79 Mn |
| Mar 31, 2012 | 153.82 Mn |
| Dec 31, 2011 | 171.75 Mn |
| Oct 1, 2011 | 143.25 Mn |
| Jul 2, 2011 | 156.28 Mn |
| Oct 2, 2010 | 138.23 Mn |
Plexus Land & Improvements 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=land-and-improvements&ticker=PLXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "PLXS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=PLXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();