Monster Beverage (MNST) Other Accumulated Expenses (2010 - 2026)
Monster Beverage (MNST) reported Other Accumulated Expenses of $434.01 million for Q2 2026, up 20.4% from $360.41 million a year earlier and up 7.8% from the prior quarter.
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Analysis
Monster Beverage (MNST) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Monster Beverage posted Other Accumulated Expenses of $384.07 million, up 43.5% from FY2024.
- Other Accumulated Expenses has a five-year compound annual growth rate of 15.5% (FY2020 to FY2025).
- By year, Other Accumulated Expenses came in at $267.71 million in FY2024 (-0.5%), $269.06 million in FY2023 (+5.3%), $255.63 million in FY2022 (+20.9%) and $211.46 million in FY2021 (+13.3%).
- The Q2 2026 figure ranks as the highest quarterly Other Accumulated Expenses in data going back to Q4 2010.
- Year over year, Other Accumulated Expenses has now increased in each of the last five quarters, with growth averaging 16.9% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was Q4 2025 (growth of 43.5%); the low point was Q1 2025 (a decline of 4.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $402.44 million (Q1 2026), $384.07 million (Q4 2025) and $392.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 394.76 Bn | 381.23 Bn | 8.42 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 193.90 Bn | 193.90 Bn | 2.06 Bn |
| 3 | Pepsico | 175.24 Bn | 133.00 Bn | 13.75 Bn |
| 4 | Monster Beverage | 88.77 Bn | 77.03 Bn | 1.42 Bn |
| 5 | Diageo | 52.19 Bn | 32.26 Bn | - |
| 6 | Ambev | 50.68 Bn | 35.97 Bn | 2.06 Bn |
| 7 | Coca-Cola Europacific Partners | 50.06 Bn | 42.72 Bn | - |
| 8 | Keurig Dr Pepper | 46.50 Bn | 42.54 Bn | 3.07 Bn |
| 9 | Constellation Brands | 22.07 Bn | 21.62 Bn | 1.39 Bn |
| 10 | Coca-Cola Consolidated | 13.60 Bn | 11.23 Bn | 778.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 434.01 Mn |
| Mar 31, 2026 | 402.44 Mn |
| Dec 31, 2025 | 384.07 Mn |
| Sep 30, 2025 | 392.63 Mn |
| Jun 30, 2025 | 360.41 Mn |
| Mar 31, 2025 | 304.67 Mn |
| Dec 31, 2024 | 267.71 Mn |
| Sep 30, 2024 | 301.97 Mn |
| Jun 30, 2024 | 319.76 Mn |
| Mar 31, 2024 | 318.90 Mn |
| Dec 31, 2023 | 269.06 Mn |
| Sep 30, 2023 | 296.58 Mn |
| Jun 30, 2023 | 283.65 Mn |
| Mar 31, 2023 | 308.09 Mn |
| Dec 31, 2022 | 255.63 Mn |
| Sep 30, 2022 | 281.65 Mn |
| Dec 31, 2021 | 211.46 Mn |
| Sep 30, 2021 | 232.39 Mn |
| Jun 30, 2021 | 227.41 Mn |
| Mar 31, 2021 | 197.38 Mn |
API Access
Monster Beverage Other Accumulated 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-accumulated-expenses&ticker=MNST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=MNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();