Monster Beverage (MNST) EBITDA (2009 - 2026)
Monster Beverage (MNST) posted EBITDA of $770.23 million for Q2 2026, up 16.8% from $659.18 million a year earlier and up 1.6% from the prior quarter.
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Analysis
Monster Beverage (MNST) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Monster Beverage was $2.81 billion, up 30.3% year-over-year; for FY2025, it came in at $2.53 billion, up 26.0% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- In prior years, Monster Beverage's EBITDA was $2.01 billion in FY2024 (-0.6%), $2.02 billion in FY2023 (+22.9%), $1.65 billion in FY2022 (-10.9%) and $1.85 billion in FY2021 (+9.3%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q3 2009.
- On a year-over-year basis, EBITDA has increased in each of the last six quarters, with growth averaging 17.3% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2025, with growth of 43.1%; the weakest was Q2 2022, with a decline of 27.8%.
- According to Business Quant data, EBITDA for the three prior quarters was $758.36 million (Q1 2026), $575.05 million (Q4 2025) and $704.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 395.88 Bn | 382.35 Bn | 8.42 Bn | 4.94 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 193.50 Bn | 193.50 Bn | 2.06 Bn | - |
| 3 | Pepsico | 175.26 Bn | 133.02 Bn | 13.75 Bn | 5.15 Bn |
| 4 | Monster Beverage | 88.72 Bn | 76.97 Bn | 1.42 Bn | 770.23 Mn |
| 5 | Diageo | 52.28 Bn | 32.35 Bn | - | - |
| 6 | Ambev | 50.60 Bn | 35.89 Bn | 2.06 Bn | 1.25 Bn |
| 7 | Coca-Cola Europacific Partners | 50.03 Bn | 42.70 Bn | - | - |
| 8 | Keurig Dr Pepper | 46.25 Bn | 42.30 Bn | 3.07 Bn | 971.00 Mn |
| 9 | Constellation Brands | 22.09 Bn | 21.64 Bn | 1.39 Bn | 901.80 Mn |
| 10 | Coca-Cola Consolidated | 13.61 Bn | 11.24 Bn | 778.41 Mn | 330.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 770.23 Mn |
| Mar 31, 2026 | 758.36 Mn |
| Dec 31, 2025 | 575.05 Mn |
| Sep 30, 2025 | 704.97 Mn |
| Jun 30, 2025 | 659.18 Mn |
| Mar 31, 2025 | 594.59 Mn |
| Dec 31, 2024 | 401.84 Mn |
| Sep 30, 2024 | 499.83 Mn |
| Jun 30, 2024 | 546.60 Mn |
| Mar 31, 2024 | 562.47 Mn |
| Dec 31, 2023 | 452.49 Mn |
| Sep 30, 2023 | 528.51 Mn |
| Jun 30, 2023 | 539.38 Mn |
| Mar 31, 2023 | 501.87 Mn |
| Dec 31, 2022 | 409.55 Mn |
| Sep 30, 2022 | 433.54 Mn |
| Jun 30, 2022 | 388.77 Mn |
| Mar 31, 2022 | 414.09 Mn |
| Dec 31, 2021 | 425.18 Mn |
| Sep 30, 2021 | 456.82 Mn |
API Access
Monster Beverage EBITDA 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=ebitda&ticker=MNST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();