Monster Beverage (MNST) Return on Sales [ROS] (2009 - 2026)
Monster Beverage's Return on Sales [ROS] was 29.18% in Q2 2026, down 0.73 percentage points from 29.91% a year earlier and down 1.84 percentage points from the prior quarter.
Monster Beverage (MNST) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Monster Beverage's Return on Sales [ROS] was 29.16% through Jun 30, 2026, up 2.23 percentage points year-over-year; for FY2025, it came in at 29.17%, up 3.41 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -6.35 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 25.76% in FY2024 (-1.60 pp), 27.36% in FY2023 (+2.25 pp), 25.11% in FY2022 (-7.33 pp) and 32.44% in FY2021 (-3.08 pp).
- Quarterly Return on Sales [ROS] has moved between 21.04% (Q4 2024) and 31.51% (Q3 2021) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in five of the last eight quarters, with an average year-over-year change of +0.94 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2023 (a gain of 5.71 percentage points); the worst was Q2 2022 (a drop of 13.45 percentage points).
- Per Business Quant data, MNST's Return on Sales [ROS] in the three quarters before Q2 2026 was 31.02% (Q1 2026), 25.46% (Q4 2025) and 30.74% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 411.73 Bn | 398.05 Bn | 8.45 Bn | 33.37% |
| 2 | Diageo | 221.87 Bn | 201.94 Bn | - | - |
| 3 | Pepsico | 192.76 Bn | 150.52 Bn | 13.75 Bn | 16.86% |
| 4 | Coca Cola Femsa Sab De Cv | 192.22 Bn | 192.22 Bn | 2.15 Bn | 14.90% |
| 5 | Monster Beverage | 89.55 Bn | 77.80 Bn | 1.42 Bn | 29.18% |
| 6 | Coca-Cola Europacific Partners | 53.01 Bn | 45.68 Bn | - | - |
| 7 | Keurig Dr Pepper | 49.85 Bn | 45.89 Bn | 3.07 Bn | 8.59% |
| 8 | Ambev | 43.57 Bn | 28.38 Bn | 2.14 Bn | 25.65% |
| 9 | Constellation Brands | 24.18 Bn | 23.73 Bn | 1.39 Bn | 28.58% |
| 10 | Brown Forman | 14.04 Bn | 12.73 Bn | 549.00 Mn | 21.34% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.18% |
| Mar 31, 2026 | 31.02% |
| Dec 31, 2025 | 25.46% |
| Sep 30, 2025 | 30.74% |
| Jun 30, 2025 | 29.91% |
| Mar 31, 2025 | 30.72% |
| Dec 31, 2024 | 21.04% |
| Sep 30, 2024 | 25.51% |
| Jun 30, 2024 | 27.74% |
| Mar 31, 2024 | 28.54% |
| Dec 31, 2023 | 25.08% |
| Sep 30, 2023 | 27.51% |
| Jun 30, 2023 | 28.24% |
| Mar 31, 2023 | 28.55% |
| Dec 31, 2022 | 26.07% |
| Sep 30, 2022 | 25.73% |
| Jun 30, 2022 | 22.53% |
| Mar 31, 2022 | 26.31% |
| Dec 31, 2021 | 28.97% |
| Sep 30, 2021 | 31.51% |
Monster Beverage Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=MNST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=MNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();