Monster Beverage (MNST) Operating Expenses (2009 - 2026)
Monster Beverage (MNST) posted Operating Expenses of $679.19 million for Q2 2026, up 24.7% from $544.79 million a year earlier and up 20.6% from the prior quarter.
Monster Beverage (MNST) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Monster Beverage was $2.43 billion, up 12.4% year-over-year; for FY2025, it came in at $2.21 billion, up 4.4% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- In prior years, Monster Beverage's Operating Expenses was $2.12 billion in FY2024 (+15.1%), $1.84 billion in FY2023 (+15.8%), $1.59 billion in FY2022 (+21.3%) and $1.31 billion in FY2021 (+20.2%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2009.
- On a year-over-year basis, Operating Expenses has increased in each of the last five quarters, with growth averaging 11.7% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2022, with growth of 30.9%; the weakest was Q1 2025, with a decline of 1.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $563.39 million (Q1 2026), $640.7 million (Q4 2025) and $549.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 395.88 Bn | 382.35 Bn | 8.42 Bn | 3.72 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 193.50 Bn | 193.50 Bn | 2.06 Bn | 1.49 Bn |
| 3 | Pepsico | 175.26 Bn | 133.02 Bn | 13.75 Bn | 9.49 Bn |
| 4 | Monster Beverage | 88.72 Bn | 76.97 Bn | 1.42 Bn | 679.19 Mn |
| 5 | Diageo | 52.28 Bn | 32.35 Bn | - | - |
| 6 | Ambev | 50.60 Bn | 35.89 Bn | 2.06 Bn | -263.15 Mn |
| 7 | Coca-Cola Europacific Partners | 50.03 Bn | 42.70 Bn | - | -1.63 Bn |
| 8 | Keurig Dr Pepper | 46.25 Bn | 42.30 Bn | 3.07 Bn | 2.40 Bn |
| 9 | Constellation Brands | 22.09 Bn | 21.64 Bn | 1.39 Bn | 538.20 Mn |
| 10 | Coca-Cola Consolidated | 13.61 Bn | 11.24 Bn | 778.41 Mn | 507.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 679.19 Mn |
| Mar 31, 2026 | 563.39 Mn |
| Dec 31, 2025 | 640.70 Mn |
| Sep 30, 2025 | 549.13 Mn |
| Jun 30, 2025 | 544.79 Mn |
| Mar 31, 2025 | 478.22 Mn |
| Dec 31, 2024 | 621.22 Mn |
| Sep 30, 2024 | 519.88 Mn |
| Jun 30, 2024 | 492.34 Mn |
| Mar 31, 2024 | 485.14 Mn |
| Dec 31, 2023 | 504.41 Mn |
| Sep 30, 2023 | 473.24 Mn |
| Jun 30, 2023 | 450.42 Mn |
| Mar 31, 2023 | 412.79 Mn |
| Dec 31, 2022 | 389.96 Mn |
| Sep 30, 2022 | 415.80 Mn |
| Jun 30, 2022 | 406.91 Mn |
| Mar 31, 2022 | 377.18 Mn |
| Dec 31, 2021 | 354.70 Mn |
| Sep 30, 2021 | 344.69 Mn |
Monster 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=MNST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MNST", "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=MNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();