EQUATOR Beverage (MOJO) Other Operating Expenses (2011 - 2020)
EQUATOR Beverage (MOJO) reported Other Operating Expenses of $1.00 for Q3 2020.
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Analysis
EQUATOR Beverage (MOJO) Other Operating Expenses (2011 - 2020) Analysis & Trends
For FY2016, EQUATOR Beverage posted Other Operating Expenses of $518.00, up 354.4% from FY2015.
- By year, Other Operating Expenses came in at $114.00 in FY2015 (-78.8%) and $537.00 in FY2014.
- The Q3 2020 figure ranks as the highest quarterly Other Operating Expenses since Q3 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 370.32 Bn | 358.96 Bn | 8.42 Bn |
| 2 | Diageo | 208.31 Bn | 200.71 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 181.53 Bn | 181.53 Bn | 2.06 Bn |
| 4 | Pepsico | 172.96 Bn | 133.40 Bn | 13.11 Bn |
| 5 | Anheuser-Busch InBev | 132.06 Bn | 100.80 Bn | 9.58 Bn |
| 6 | Monster Beverage | 81.53 Bn | 69.78 Bn | 1.42 Bn |
| 7 | Ambev | 46.02 Bn | 32.04 Bn | 2.06 Bn |
| 8 | Coca-Cola Europacific Partners | 45.68 Bn | 38.92 Bn | - |
| 9 | Keurig Dr Pepper | 41.29 Bn | 41.52 Bn | 3.07 Bn |
| 10 | EQUATOR Beverage | 6.56 Mn | 6.56 Mn | 712,677.00 |
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 | -437,315.00 |
| Sep 30, 2014 | 253,612.00 |
| Jun 30, 2014 | 92,120.00 |
| 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_KEYimport 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();