EQUATOR Beverage (MOJO) Property, Plant & Equipment (Net) (2010 - 2016)
EQUATOR Beverage (MOJO) posted Property, Plant & Equipment (Net) of $655.00 for Q3 2016, down 67.6% from $2,020 a year earlier and down 12.1% from the prior quarter.
EQUATOR Beverage (MOJO) Property, Plant & Equipment (Net) (2010 - 2016) Analysis & Trends
At the end of FY2015, EQUATOR Beverage's Property, Plant & Equipment (Net) came in at $1,811, down 30.4% from FY2014.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -59.4% (FY2010 to FY2015).
- In prior years, EQUATOR Beverage's Property, Plant & Equipment (Net) was $2,603 in FY2014 (-41.8%), $4,470 in FY2013 (+99.3%) and $2,243 in FY2012.
- The Q3 2016 figure stands as the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last ten quarters, with an average decline of 47.0% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q2 2013, with growth of 120.9%; the weakest was Q3 2012, with a decline of 99.4%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $745.00 (Q2 2016), $1,627 (Q1 2016) and $1,811 (Q4 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 368.60 Bn | 357.24 Bn | 8.42 Bn | 9.64 Bn |
| 2 | Diageo | 206.17 Bn | 198.57 Bn | - | 9.00 Bn |
| 3 | Coca Cola Femsa Sab De Cv | 179.07 Bn | 179.07 Bn | 2.06 Bn | - |
| 4 | Pepsico | 171.83 Bn | 132.26 Bn | 13.11 Bn | 29.77 Bn |
| 5 | Anheuser-Busch InBev | 131.95 Bn | 100.69 Bn | 9.58 Bn | 23.00 Bn |
| 6 | Monster Beverage | 84.12 Bn | 72.37 Bn | 1.42 Bn | 1.10 Bn |
| 7 | Ambev | 46.97 Bn | 32.99 Bn | 2.06 Bn | 5.07 Bn |
| 8 | Coca-Cola Europacific Partners | 45.38 Bn | 38.63 Bn | - | 7.16 Bn |
| 9 | Keurig Dr Pepper | 41.33 Bn | 41.57 Bn | 3.07 Bn | 6.32 Bn |
| 10 | EQUATOR Beverage | 9.41 Mn | 9.41 Mn | 712,677.00 | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 655.00 |
| Jun 30, 2016 | 745.00 |
| Mar 31, 2016 | 1,627.00 |
| Dec 31, 2015 | 1,811.00 |
| Sep 30, 2015 | 2,020.00 |
| Jun 30, 2015 | 2,213.00 |
| Mar 31, 2015 | 1,939.00 |
| Dec 31, 2014 | 2,603.00 |
| Sep 30, 2014 | 3,496.00 |
| Jun 30, 2014 | 4,794.00 |
| Mar 31, 2014 | 4,614.00 |
| Dec 31, 2013 | 4,470.00 |
| Sep 30, 2013 | 4,882.00 |
| Jun 30, 2013 | 6,141.00 |
| Mar 31, 2013 | 3,497.00 |
| Dec 31, 2012 | 2,243.00 |
| Sep 30, 2012 | 2,630.00 |
| Jun 30, 2012 | 2,780.00 |
| Sep 30, 2011 | 428,438.00 |
| Jun 30, 2011 | 350,596.00 |
EQUATOR Beverage Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=MOJO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "MOJO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=MOJO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();