EQUATOR Beverage (MOJO) Other Operating Expenses (2011 - 2020)
EQUATOR Beverage's Other Operating Expenses was -$417,223 in FY2015, compared with $691,463 in FY2014.
Analysis
EQUATOR Beverage (MOJO) Other Operating Expenses (2011 - 2020) Analysis & Trends
- Per Business Quant data, Other Operating Expenses in earlier years was $691,463 in FY2014 and $5,603 in FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 413.22 Bn | 399.53 Bn | 8.45 Bn |
| 2 | Diageo | 224.45 Bn | 204.52 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 196.49 Bn | 189.17 Bn | - |
| 4 | Pepsico | 192.84 Bn | 150.60 Bn | 13.75 Bn |
| 5 | Anheuser-Busch InBev | 148.28 Bn | 110.64 Bn | - |
| 6 | Monster Beverage | 88.63 Bn | 76.88 Bn | 1.42 Bn |
| 7 | Coca-Cola Europacific Partners | 53.10 Bn | 46.73 Bn | - |
| 8 | Keurig Dr Pepper | 50.04 Bn | 46.09 Bn | 3.07 Bn |
| 9 | Ambev | 43.10 Bn | 28.94 Bn | - |
| 10 | EQUATOR Beverage | 8.42 Mn | 8.42 Mn | 751,337.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 1.00 |
| Jun 30, 2019 | -1.00 |
| Dec 31, 2016 | -404.00 |
| Sep 30, 2016 | 1,620.00 |
| Dec 31, 2015 | -807.00 |
| Sep 30, 2015 | 60,000.00 |
| Jun 30, 2015 | -2.25 Mn |
| Mar 31, 2015 | 1.78 Mn |
| Dec 31, 2014 | -437,720.00 |
| Sep 30, 2014 | 253,708.00 |
| Jun 30, 2014 | 92,429.00 |
| Mar 31, 2014 | 92,120.00 |
| Sep 30, 2013 | -7,214.00 |
| Jun 30, 2013 | 463.00 |
| Mar 31, 2013 | 3,144.00 |
| Dec 31, 2011 | -889,618.00 |
| Sep 30, 2011 | 32,232.00 |
| Jun 30, 2011 | 134,052.00 |
API Access
EQUATOR Beverage Other Operating Expenses 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=other-operating-expenses&ticker=MOJO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=MOJO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();