RACE

Ferrari NV Price

Closed
RACE
$354,19
-$4,39(-%1,22)

*Data last updated: 2026-04-24 00:37 (UTC+8)

As of 2026-04-24 00:37, Ferrari NV (RACE) is priced at $354,19, with a total market cap of $62,79B, a P/E ratio of 35,17, and a dividend yield of %1,18. Today, the stock price fluctuated between $351,79 and $359,66. The current price is %0,68 above the day's low and %1,52 below the day's high, with a trading volume of 438,77K. Over the past 52 weeks, RACE has traded between $330,45 to $379,61, and the current price is -%6,69 away from the 52-week high.

RACE Key Stats

Yesterday's Close$358,58
Market Cap$62,79B
Volume438,77K
P/E Ratio35,17
Dividend Yield (TTM)%1,18
Dividend Amount$4,25
Diluted EPS (TTM)9,00
Net Income (FY)$1,59B
Revenue (FY)$7,14B
Earnings Date2026-05-05
EPS Estimate2,70
Revenue Estimate$2,10B
Shares Outstanding175,10M
Beta (1Y)0.601
Ex-Dividend Date2026-04-21
Dividend Payment Date2026-05-05

About RACE

Ferrari N.V., through its subsidiaries, designs, engineers, produces, and sells luxury performance sports cars. The company offers sports, GT, and special series cars; limited edition hyper cars; one-off and track cars; and Icona cars. It also provides racing cars, and spare parts and engines, as well as after sales, repair, maintenance, and restoration services for cars. In addition, the company licenses its Ferrari brand to various producers and retailers of luxury and lifestyle goods; Ferrari World, a theme park in Abu Dhabi, the United Arab Emirates; and Ferrari Land Portaventura, a theme park in Europe. Further, it provides direct or indirect finance and leasing services to retail clients and dealers; manages racetracks, as well as owns and manages two museums in Maranello and Modena, Italy; and develops and sells a line of apparel and accessories through its monobrand stores. As of December 31, 2021, it had a total of 30 retail Ferrari stores, including 14 franchised stores and 16 owned stores. The company also sells its products through a network of 172 authorized dealers operating 191 points of sale worldwide, as well as through its website, store.ferrari.com. Ferrari N.V. was founded in 1947 and is headquartered in Maranello, Italy.
SectorConsumer Cyclical
IndustryAuto - Manufacturers
CEOBenedetto Vigna
HeadquartersMaranello,MO,IT
Official Websitehttps://www.ferrari.com
Employees (FY)5,71K
Average Revenue (1Y)$1,24M
Net Income per Employee$279,27K

Learn More about Ferrari NV (RACE)

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Ferrari NV (RACE) FAQ

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Ferrari NV (RACE) is currently trading at $354,19, with a 24h change of -%1,22. The 52-week trading range is $330,45–$379,61.

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Ferrari NV (RACE) Latest News

2026-04-22 22:12

OpenAI Reaches $1 Trillion Pre-IPO Valuation Amid Race with SpaceX and Anthropic

Gate News message, April 22 — OpenAI has reached an implied $1 trillion pre-IPO valuation, according to on-chain pre-IPO instruments trading on Jupiter backed by SPV exposure. The valuation has surged 163% since October 2025, when speculation about a potential $1 trillion-plus IPO first emerged. SpaceX is reportedly targeting a valuation exceeding $1.7 trillion, while Anthropic is approaching the same $1 trillion milestone. These three companies are now in a high-stakes race to become the next major public listing. OpenAI's path to this valuation reflects the escalating costs of generative AI. A single ChatGPT exchange can cost $0.01 to $0.10, while high-definition image generation ranges from $0.10 to $0.20. With billions of daily requests in 2026, the computational demands are staggering. GPUs—primarily supplied by Nvidia—cost tens of thousands of dollars each, and cloud access runs several dollars per hour per chip. Industry estimates suggest that infrastructure investment could reach hundreds of billions of dollars by the end of the decade. OpenAI originally aimed to build AI "beneficial to humanity" and prevent a few firms from controlling the field. However, mounting costs forced a shift. In 2019, the company adopted a hybrid structure combining foundation control with capital-raising capabilities. ChatGPT's launch in late 2022 accelerated this transformation, reaching 100 million users in two months and 900 million weekly active users by early 2026. Revenue followed suit: from approximately $200 million in 2022 to over $10 billion in 2025—a 60-fold increase. OpenAI's subscription tiers now range from $20 to $200 monthly for consumers, while enterprise plans cost $25 to $60 per user per month. A company with 10,000 employees can therefore generate several million dollars in annual revenue. Meanwhile, Anthropic faced a pricing backlash when Claude Code appeared to vanish from its $20-per-month Pro tier, seemingly requiring a $100-per-month subscription instead. Anthropic later clarified the pricing page change affected only 2% of new sign-ups and that existing users saw no change. During the confusion, Sam Altman and OpenAI staff used the moment to promote Codex, OpenAI's competing coding tool.

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Hot Posts About Ferrari NV (RACE)

Deconstructionist

Deconstructionist

33 minutes ago
Grayscale has just fully entered the Hyperliquid ETF race. The company filed last week for a fund that would track the HYPE token, seeking listing on Nasdaq with the ticker GHYP. Basically, they want to give traditional investors access to the most active perpetual futures protocol in the market. The interesting part here is that Grayscale isn't alone in this. Bitwise and 21Shares had already made their own filings for similar ETFs. It seems that asset managers have finally realized that demand extends beyond Bitcoin and Ethereum. The decentralized derivatives market has grown too large to ignore. The numbers speak for themselves. Hyperliquid has maintained weekly volumes between $40 billion and $100 billion. Meanwhile, the total volume of perpetual futures in the market ranges from $125 billion to $300 billion weekly. That’s more than double what it was during the same period last year. The platform has secured a dominant position despite increasing competition from other platforms. An important detail is that Coinbase will act as custodian for the proposed ETF. Grayscale has not yet disclosed management fees, leaving some questions open at this early stage. Some issuers prefer to prioritize speed over full transparency about costs. Now, about staking. Grayscale has indicated it may incorporate staking rewards into the Hyperliquid ETF later, but this depends on regulatory clarity. Bitwise has already updated its filing to include staking, and 21Shares is also exploring this possibility. The idea is to offer investors a way to generate yield beyond token price appreciation. What really stands out is how Hyperliquid has evolved. It started as a niche protocol and now functions as trading infrastructure for tokenized real-world assets. The protocol allows continuous trading of gold, oil, and other assets even when traditional markets are closed. This has attracted interest from traditional finance players seeking 24-hour exposure. Competition has increased with platforms like Aster, Lighter, and edgeX entering the game. But the HYPE token maintains clear dominance most weeks. Network effects seem to be working well. Integration with various crypto services and the growing reliance of traders and liquidity providers have solidified the platform’s position. The big question now is what the SEC will do with these multiple filings. Approval timelines remain uncertain. Regulators are still reviewing digital asset ETFs beyond Bitcoin, and this category is still developing. The next major move will be whether the SEC recognizes the filing and sets a review schedule. Any signals of approval could significantly influence demand for these products. It’s worth keeping a close eye on.
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Aziz2030

Aziz2030

1 hours ago
Good morning. I wish you a productive and successful day. Here is a summary of the current technical landscape regarding artificial intelligence and advanced industries: ### **I. Updates on AI Tools and Models** * **Evolution of Autonomous AI Agents:** We are witnessing a surge in the capability of "agents" to manage complete software development lifecycles—from coding and debugging to testing interfaces (WPF/Web)—significantly reducing human intervention in repetitive tasks. * **Multimodal Models:** There have been radical improvements in computer vision models, which are now capable of analyzing screenshots and complex charts with higher accuracy, directly benefiting data analysis and software bug tracking. ### **II. Notable Technological Innovations and Products** * **Wearable Device Enhancements:** The integration of more precise biosensors into smartwatches is expanding, with a focus on proactive health metric tracking rather than purely reactive monitoring. * **Advanced Display Technologies:** There is an increased adoption of low-power OLED displays, which have become the new standard for high-performance workstations. ### **III. Advanced Industries (Chips, Quantum Computing, Smart Cars)** * **Semiconductor Sector:** The race continues toward ultra-fine precision architecture (sub-3nm). The industry is shifting toward designing processors exclusively for AI inference to mitigate heat generation and power consumption in enterprise servers. * **Quantum Computing:** Progress has been made in stabilizing "qubits" and reducing error rates, bringing applications in advanced cryptography (which is highly relevant to the crypto and blockchain sectors) closer to practical reality. * **Smart Vehicles:** There is a transition from simple "driver assistance" to full autonomous driving systems based on high-definition mapping and local (on-device) data processing, without relying entirely on the cloud. ### **Quick Analysis (Future Outlook)** The most prominent trend currently is the move toward **"energy-efficient AI."** The objective is no longer merely to increase raw computational power (as seen in H200 or B100 processors), but to prioritize **"performance per watt."** This shift will change the game for companies managing massive data centers, as the cost of electricity and thermal management is becoming the primary determinant of the success of any AI model or commercial application. This trend fosters the long-term stability of software infrastructure and provides developers with more efficient tools to build complex applications while consuming minimal resources. #Gate13thAnniversaryLive #WCTCTradingChallengeShare8MUSDT #BitcoinBouncesBack #EthereumMemeSeasonReturns #USIranTalksProgress $BTC ‌$GT ‌ $ETH ‌
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