Italy's Ferrari Q2 revenue up 8%; raises 2026 revenue forecast
Italy's Ferrari Q2 revenue up 8%; raises 2026 revenue forecast
Overview
Italy luxury automaker's preliminary Q2 revenue rose 8%, beating analyst expectations
Diluted EPS for Q2 rose 10% to €2.62
Company raised 2026 guidance on stronger personalizations and lower currency headwinds
Outlook
Ferrari raises 2026 net revenue guidance to ~EUR 7.60 bln from ~EUR 7.50 bln
Company now sees 2026 adj EBITDA at or above EUR 2.97 bln, up from at or above EUR 2.93 bln
Ferrari expects 2026 adj diluted EPS of at least EUR 9.68, up from at least EUR 9.45
Result Drivers
PRODUCT MIX AND PERSONALIZATIONS - Ferrari said Q2 benefited from a richer sports car mix and increased contribution from personalizations
RACING AND SPONSORSHIP - Higher racing revenues and sponsorships contributed to growth, partly offset by lower Formula 1 commercial revenues
NEW MODEL LAUNCHES AND STRONG DEMAND - Launch of new models and a full order book through 2027 supported results, per CEO Benedetto Vigna
Company press release: ID:nGNE4LCjJR
Key Details
Metric | Beat/Miss | Actual | Consensus Estimate |
Q2 Revenue | Beat | EUR 1.94 bln | EUR 1.88 bln (7 Analysts) |
Q2 Free Cash Flow |
| EUR 276 mln |
|
Analyst Coverage
The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 16 "strong buy" or "buy", 3 "hold" and 1 "sell" or "strong sell"
The average consensus recommendation for the auto & truck manufacturers peer group is "buy"
Wall Street's median 12-month price target for Ferrari NV is €380.00, about 11.8% above its July 29 closing price of €339.80
The stock recently traded at 33 times the next 12-month earnings vs. a P/E of 29 three months ago
Reuters Recommended Reads
July 29 - Ferrari has already hit 2026 sales target for Luce EV, FT says
July 29 - Lamborghini's operating profit falls as geopolitical turmoil shakes luxury car sector
July 29 - Aston Martin keeps forecast, bets on Valhalla after wider-than-expected loss
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(This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)