The information provided on EL7.AI is for educational and informational purposes only and does not constitute financial advice.
The information provided on EL7.AI is for educational and informational purposes only and does not constitute financial advice.
| Factor | Score | Distribution | Value | Avg | Verdict |
|---|---|---|---|---|---|
Valuation | 25 | 42.9x | 20.1x | Below average | |
Growth | 60 | 18.1% | 5.6% | Near average | |
Quality | 67 | 36.0% | 7.6% | Above average | |
Safety | 88 | -0.8x | 0.4x | Above average | |
Capital Return | 45 | — | 2.19% | Near average | |
Momentum | 83 | — | — | Above average | |
Sentiment | 37 | — | — | Near average |
Monster Beverage Corporation is a publicly traded stock representing ownership in the company, giving holders rights to dividends and voting.
You can buy Monster Beverage Corporation shares through a licensed brokerage. Research the company's financials before investing.
Key metrics include Price-to-Earnings (P/E) ratio, Return on Equity (ROE), revenue growth, and net profit margin.
Dividend policies vary by company. Check the dividends section on the stock page for the payout history.
Risks include market volatility, sector-specific risks, regulatory changes, and company financial performance. Diversification helps reduce risk.
AI analysis from the earnings call, financials and news
This section combines price targets, revision history, analyst coverage changes, and an AI summary of what changed on the Street.
Monster Beverage (MNST) stock has seen a steady positive revision in its average price target, with the consensus rising by 4.83% over the last 30 days to reach $89.5, which is nearly in line with the current trading price. These revisions reflect gradual optimism from the 13 analysts, despite qualitative Ratings remaining unchanged from major institutions such as Morgan Stanley and Evercore ISI, suggesting that the increase in targets is a technical adjustment based on performance rather than a fundamental change in recommendation.
Ten ratios that matter, each compared against its sector median and average — so you can see whether a number is rich or cheap relative to peers in the same sector.