EQUATOR Beverage (MOJO) Net Long-Term Debt Issued (Repaid) (2012 - 2026)
EQUATOR Beverage's Non-Current Debt was $35,508 in Q2 2020.
Analysis
EQUATOR Beverage (MOJO) Net Long-Term Debt Issued (Repaid) (2012 - 2026) Analysis & Trends
At the end of FY2010, Non-Current Debt at EQUATOR Beverage came in at $1.49 million.
- The Q2 2020 figure marks the highest quarterly Non-Current Debt since Q2 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 413.22 Bn | 399.53 Bn | 8.45 Bn | -1.60 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 | -103.00 Mn |
| 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 | -349.00 Mn |
| 9 | Ambev | 43.10 Bn | 28.94 Bn | - | - |
| 10 | EQUATOR Beverage | 8.42 Mn | 8.42 Mn | 751,337.00 | -160,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -160,000.00 |
| Jun 30, 2026 | -70,000.00 |
| Mar 31, 2026 | -110,000.00 |
| Dec 31, 2025 | -59,000.00 |
| Sep 30, 2025 | -60,000.00 |
| Jun 30, 2025 | 171,000.00 |
| Mar 31, 2025 | 173,000.00 |
| Dec 31, 2024 | -195,000.00 |
| Sep 30, 2024 | -6,000.00 |
| Jun 30, 2024 | -44,000.00 |
| Mar 31, 2024 | 130,000.00 |
| Dec 31, 2023 | -10,000.00 |
| Sep 30, 2023 | -50,000.00 |
| Jun 30, 2023 | 55,000.00 |
| Mar 31, 2023 | 10,000.00 |
| Dec 31, 2022 | -50,000.00 |
| Sep 30, 2022 | 50,000.00 |
| Jun 30, 2022 | 98,000.00 |
| Mar 31, 2022 | 127,000.00 |
| Mar 31, 2013 | 50,000.00 |
API Access
EQUATOR Beverage Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=MOJO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=MOJO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();