EQUATOR Beverage (MOJO) Price to Earnings (2015 - 2026)
EQUATOR Beverage's (MOJO) Price to Earnings stood at 10.59 in Q2 2026, down 82.2% from the prior quarter.
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Analysis
EQUATOR Beverage (MOJO) Price to Earnings (2015 - 2026) Analysis & Trends
For FY2025, EQUATOR Beverage's Price to Earnings came in at 146.24.
- Across earlier years, Price to Earnings came in at 311.82 in FY2021.
- The Q2 2026 figure is the lowest quarterly Price to Earnings in data going back to Q3 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 370.54 Bn | 359.17 Bn | 8.42 Bn |
| 2 | Diageo | 205.37 Bn | 197.77 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 177.39 Bn | 177.39 Bn | 2.06 Bn |
| 4 | Pepsico | 171.43 Bn | 131.87 Bn | 13.11 Bn |
| 5 | Anheuser-Busch InBev | 131.23 Bn | 99.97 Bn | 9.58 Bn |
| 6 | Monster Beverage | 82.55 Bn | 70.80 Bn | 1.42 Bn |
| 7 | Ambev | 45.71 Bn | 31.73 Bn | 2.06 Bn |
| 8 | Coca-Cola Europacific Partners | 45.26 Bn | 38.51 Bn | - |
| 9 | Keurig Dr Pepper | 41.76 Bn | 42.00 Bn | 3.07 Bn |
| 10 | EQUATOR Beverage | 7.61 Mn | 7.61 Mn | 712,677.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.59 |
| Mar 31, 2026 | 59.52 |
| Dec 31, 2025 | 146.00 |
| Dec 31, 2021 | 311.82 |
| Sep 30, 2021 | 1,136.94 |
| Jun 30, 2021 | 338.02 |
| Sep 30, 2018 | 46.73 |
| Jun 30, 2018 | 56.57 |
| Mar 31, 2018 | 19.38 |
| Dec 31, 2017 | 17.30 |
| Sep 30, 2017 | 12.70 |
| Jun 30, 2017 | 11.74 |
| Mar 31, 2017 | 19.12 |
| Dec 31, 2016 | 23.19 |
| Sep 30, 2016 | 32.77 |
| Jun 30, 2016 | 22.62 |
| Dec 31, 2015 | 19.36 |
| Sep 30, 2015 | 251.67 |
API Access
EQUATOR Beverage Price to Earnings 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=price-to-earnings&ticker=MOJO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MOJO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();