Monster Beverage (MNST) Other Operating Expenses (2009 - 2026)
Monster Beverage's Other Operating Expenses was $679.19 million in Q2 2026, up 24.7% from $544.79 million a year earlier and up 20.6% from the prior quarter.
Monster Beverage (MNST) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Monster Beverage's Other Operating Expenses was $2.43 billion through Jun 30, 2026, up 12.4% year-over-year; for FY2025, it was $2.21 billion, up 4.4% from FY2024.
- Other Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- In earlier years, Other 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 marks the highest quarterly Other Operating Expenses in data going back to Q2 2009.
- Compared with a year earlier, Other Operating Expenses has increased for five straight quarters, with growth averaging 11.7% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q2 2022 (growth of 30.9%); the worst was Q1 2025 (a decline of 1.4%).
- Per Business Quant data, MNST's Other Operating Expenses in the three quarters before Q2 2026 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) |
|---|---|---|---|---|
| 1 | Coca Cola | 395.83 Bn | 382.30 Bn | 8.42 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 193.51 Bn | 193.51 Bn | 2.06 Bn |
| 3 | Pepsico | 175.42 Bn | 133.18 Bn | 13.75 Bn |
| 4 | Monster Beverage | 88.66 Bn | 76.91 Bn | 1.42 Bn |
| 5 | Diageo | 52.30 Bn | 32.37 Bn | - |
| 6 | Ambev | 50.76 Bn | 36.05 Bn | 2.06 Bn |
| 7 | Coca-Cola Europacific Partners | 50.09 Bn | 42.76 Bn | - |
| 8 | Keurig Dr Pepper | 46.34 Bn | 42.38 Bn | 3.07 Bn |
| 9 | Constellation Brands | 22.12 Bn | 21.67 Bn | 1.39 Bn |
| 10 | Coca-Cola Consolidated | 13.61 Bn | 11.24 Bn | 778.41 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 Other 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=other-operating-expenses&ticker=MNST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=MNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();