EQUATOR Beverage (MOJO) Other Non-Current Liabilities (2013)
Analysis
EQUATOR Beverage (MOJO) Other Non-Current Liabilities (2013) Analysis & Trends
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 |
API Access
EQUATOR Beverage Other Non-Current Liabilities 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-non-current-liabilities&ticker=MOJO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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-non-current-liabilities&ticker=MOJO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();