EQUATOR Beverage (MOJO) Operating Expenses (2011 - 2026)
EQUATOR Beverage (MOJO) posted Operating Expenses of $473,970 for Q2 2026, up 53.4% from $309,045 a year earlier and up 13.0% from the prior quarter.
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Analysis
EQUATOR Beverage (MOJO) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at EQUATOR Beverage was $2.14 million, up 19.8% year-over-year; for FY2025, it was $1.79 million, down 11.2% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- In prior years, EQUATOR Beverage's Operating Expenses was $2.01 million in FY2024 (+71.2%), $1.18 million in FY2023 (+36.8%), $859,155 in FY2022 (+1.7%) and $844,654 in FY2021 (-7.2%).
- Quarterly Operating Expenses has run from a low of $188,230 in Q2 2022 to a high of $778,786 in Q3 2024 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 29.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2024, with growth of 117.2%; the weakest was Q1 2025, with a decline of 37.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $419,331 (Q1 2026), $620,800 (Q4 2025) and $625,780 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 375.10 Bn | 363.73 Bn | 8.42 Bn | 3.72 Bn |
| 2 | Diageo | 209.77 Bn | 202.17 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 182.89 Bn | 182.89 Bn | 2.06 Bn | 1.49 Bn |
| 4 | Pepsico | 175.39 Bn | 135.83 Bn | 13.11 Bn | 9.09 Bn |
| 5 | Anheuser-Busch InBev | 138.58 Bn | 107.33 Bn | 9.58 Bn | 2.35 Bn |
| 6 | Monster Beverage | 82.00 Bn | 70.25 Bn | 1.42 Bn | 679.19 Mn |
| 7 | Coca-Cola Europacific Partners | 46.20 Bn | 39.44 Bn | - | -1.63 Bn |
| 8 | Ambev | 45.08 Bn | 31.10 Bn | 2.06 Bn | -263.15 Mn |
| 9 | Keurig Dr Pepper | 42.81 Bn | 43.05 Bn | 3.07 Bn | 2.40 Bn |
| 10 | EQUATOR Beverage | 7.32 Mn | 7.32 Mn | 712,677.00 | 473,970.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 473,970.00 |
| Mar 31, 2026 | 419,331.00 |
| Dec 31, 2025 | 620,800.00 |
| Sep 30, 2025 | 625,780.00 |
| Jun 30, 2025 | 309,045.00 |
| Mar 31, 2025 | 231,178.00 |
| Dec 31, 2024 | 467,440.00 |
| Sep 30, 2024 | 778,786.00 |
| Jun 30, 2024 | 396,865.00 |
| Mar 31, 2024 | 368,743.00 |
| Dec 31, 2023 | 363,256.00 |
| Sep 30, 2023 | 358,639.00 |
| Jun 30, 2023 | 258,671.00 |
| Mar 31, 2023 | 194,912.00 |
| Dec 31, 2022 | 191,237.00 |
| Sep 30, 2022 | 198,122.00 |
| Jun 30, 2022 | 188,230.00 |
| Mar 31, 2022 | 281,566.00 |
| Dec 31, 2021 | 199,313.00 |
| Sep 30, 2021 | 223,571.00 |
API Access
EQUATOR Beverage 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=operating-expenses&ticker=MOJO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=MOJO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();