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 | 29 | 38.8x | 20.1x | Below average | |
Growth | 53 | -7.7% | 5.6% | Near average | |
Quality | 78 | 27.4% | 7.6% | Above average | |
Safety | 65 | 0.5x | 0.4x | Near average | |
Capital Return | 54 | 1.00% | 2.19% | Near average | |
Momentum | 17 | — | — | Below average | |
Sentiment | 71 | — | — | Above average |
Ferrari N.V. is a publicly traded stock representing ownership in the company, giving holders rights to dividends and voting.
You can buy Ferrari N.V. 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.
Ferrari stock shows remarkable stability in analyst estimates with a slight positive bias, as the average price target rose by 0.12% over the last 30 days to reach 457.33 dollars. This stability reflects the confidence of major financial institutions such as Bernstein and JP Morgan, which maintained high ratings (Outperform/Overweight), while the dispersion between the low (410) and high (555) targets indicates a variance in estimating the scale of future growth, despite a consensus that the stock is currently trading below its assumed fair value.
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.