Monster Beverage (MNST) Price to Earnings (2009 - 2026)
Monster Beverage's (MNST) quarterly Price to Earnings came in at 322.13 in Q2 2026, up 28.72% year-over-year from 250.25 in Q2 2025, and up 29.44% quarter-over-quarter from 248.86 in Q1 2026.
Monster Beverage (MNST) Price to Earnings (2009 - 2026) Analysis & Trends
Monster Beverage (MNST) has reported Price to Earnings for 18 consecutive years, with 322.13 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Earnings rose 28.72% year-over-year to 322.13 in Q2 2026; TTM through Jun 2026 was 88.5, a 13.83% increase from a year earlier, with the FY2025 full-year figure at 78.71, up 16.12% from the prior year.
- Price to Earnings was 322.13 for Q2 2026 at Monster Beverage, up from 248.86 in the prior quarter.
- Over five years, Price to Earnings peaked at 377.86 in Q4 2024 and troughed at 230.95 in Q2 2024.
- A 5-year average of 291.68 and a median of 283.56 in 2022 frame the typical range for Price to Earnings.
- Across the five-year window, Price to Earnings soared 49.33% in 2022 and slipped 20.57% in 2024, its largest moves.
- Over 5 years, Price to Earnings stood at 351.57 in 2022, then decreased by 6.98% to 327.02 in 2023, then advanced by 15.55% to 377.86 in 2024, then decreased by 11.63% to 333.9 in 2025, then fell by 3.52% to 322.13 in 2026.
- The last three Price to Earnings figures came in at 322.13 (Q2 2026), 248.86 (Q1 2026), and 333.9 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn |
| 2 | Diageo | 209.58 Bn | 209.63 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 185.97 Bn | 185.19 Bn | 2.06 Bn |
| 4 | Pepsico | 177.68 Bn | 167.14 Bn | 13.11 Bn |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - |
| 8 | Keurig Dr Pepper | 43.22 Bn | 45.90 Bn | 3.07 Bn |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn |
| 10 | Constellation Brands | 19.91 Bn | 19.81 Bn | 1.32 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 322.13 |
| Mar 31, 2026 | 248.86 |
| Dec 31, 2025 | 333.90 |
| Sep 30, 2025 | 250.78 |
| Jun 30, 2025 | 250.25 |
| Mar 31, 2025 | 257.64 |
| Dec 31, 2024 | 377.86 |
| Sep 30, 2024 | 273.55 |
| Jun 30, 2024 | 230.95 |
| Mar 31, 2024 | 279.39 |
| Dec 31, 2023 | 327.02 |
| Sep 30, 2023 | 243.39 |
| Jun 30, 2023 | 290.76 |
| Mar 31, 2023 | 284.46 |
| Dec 31, 2022 | 351.57 |
| Sep 30, 2022 | 282.67 |
| Jun 30, 2022 | 357.35 |
| Mar 31, 2022 | 287.70 |
| Dec 31, 2021 | 316.43 |
| Sep 30, 2021 | 278.78 |
Monster Beverage Price to Earnings 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=price-to-earnings&ticker=MNST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();