Ferrari NV (RACE) Stock Price Today—Real Time Charts and Quotes

Q: What's the stock price of Ferrari NV (RACE) today?

Ferrari NV (RACE) is currently trading at $334.01, with a 24h change of -1.26%. The 52-week trading range is $330.45–$341.86.

Q: What are the 52-week high and low prices for Ferrari NV (RACE)?

RACE has a 52-week high of $341.86 and a 52-week low of $330.45, with the current price at $334.01.

Q: What is the price-to-earnings (P/E) ratio of Ferrari NV (RACE)? What does it indicate?

The current P/E ratio (TTM) of RACE is 35.17180303731927, indicating how much investors pay for each dollar of earnings. A higher P/E ratio often reflects stronger growth expectations, while a lower P/E ratio may suggest a more attractive valuation or slower growth. Comparing it with the average P/E of the Auto - Manufacturers industry for a better context.

Q: What is the market cap of Ferrari NV (RACE)?

Ferrari NV (RACE) currently has a market cap of approximately $59.13B.

Q: What is the most recent quarterly earnings per share (EPS) for Ferrari NV (RACE)?

Ferrari NV (RACE)'s diluted earnings per share (Diluted EPS) is 9.004738348508068. EPS = Net Income / Total Diluted Shares, which is a key metric for measuring a company's profitability.

Q: Should you buy or sell Ferrari NV (RACE) now?

As of now, RACE is trading at $334.01, with a P/E ratio of 35.17180303731927 and a diluted EPS of 9.004738348508068. Your buy or sell decisions should be based on your investment goals and risk tolerance. We recommend making an overall judgment by considering Ferrari NV's financial reports, the outlook of the Auto - Manufacturers sector, and your own holdings. Investing involves risk—please make decisions prudently.

Q: What factors can affect the stock price of Ferrari NV (RACE)?

Key factors include: company quarterly reports (revenue, EPS), competition and trends in the Auto - Manufacturers sector, macroeconomic environment (interest rate, inflation), market sentiment, as well as major events like product releases and mergers & acquisitions.

Q: How to buy Ferrari NV (RACE) stock?

You can buy Ferrari NV (RACE) through Gate. Sign up for a Gate account and complete identity verification, then go to the Ferrari NV trading page to make a purchase. Gate supports fractional share trading, so you can start investing without buying a whole share.

$334,01

-$4,27(-%1,26)

*Data last updated: 2026-04-07 17:54 (UTC+8)

As of 2026-04-07 17:54, Ferrari NV (RACE) is priced at $334,01, with a total market cap of $59,13B, a P/E ratio of 35,17, and a dividend yield of %1,03. Today, the stock price fluctuated between $330,45 and $337,36. The current price is %1,07 above the day's low and %0,99 below the day's high, with a trading volume of 143,42K. Over the past 52 weeks, RACE has traded between $330,45 to $341,86, and the current price is -%2,29 away from the 52-week high.

RACE Key Stats

Yesterday's Close$338,28

Market Cap$59,13B

Volume143,42K

P/E Ratio35,17

Dividend Yield (TTM)%1,03

Dividend Amount$4,16

Diluted EPS (TTM)9,00

Net Income (FY)$1,59B

Revenue (FY)$7,14B

Earnings Date2026-05-05

EPS Estimate2,64

Revenue Estimate$2,04B

Shares Outstanding174,81M

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)

Gate Learn Articles

What is Base Blockchain? Can it be a Dark Horse in the L2 Race?

This article explains the L2 public chain Base launched by Coinbase, how it was born, the development of its on-chain ecosystem, and whether the entire L2 race will welcome a new dark horse.

2023-09-15

Inside SVM: The Race Between Solayer, SOON, and Sonic

Against the background that Solana's new narrative is in urgent need of succession, Sonic, SOON, and Solayer of the SVM ecosystem are using differentiated technical paths to try to answer the ultimate industry proposition of "high concurrency, low latency, and cross-chain compatibility." This article will also dismantle the deep logic of this SVM arms race from the three dimensions of underlying architecture, ecological strategy, and market position.

2025-02-14

LK Venture Research Report | Telegram vs. X (Twitter): Who Will Win in the Super App Race in the Web3 Era?

X and Telegram are globally renowned social media platforms. They are two significant players in the super app race in the Web3 era. User experience reshaping, new standards of privacy and security, technological innovation, and ecosystem integration are the three critical elements determining the outcome of the race. X and Telegram possess different strengths, with X focusing on public topic discussions and information dissemination, while Telegram emphasizes privacy protection and security. This race will drive the evolution of the Web3 world, leading us into a more open, decentralized, secure, and user-friendly digital era.

2023-12-28

Blogs

Who Will Succeed Powell? The 2026 Fed Chair Race and Bitcoin’s Potential Turning Point

Federal Reserve Chair Nomination Stalls as Kevin Warsh Faces Senate Opposition: Analyzing How the Power Transition Could Reshape Monetary Policy Expectations and Its Impact on the Crypto Market in 2026

2026-03-30

Circle’s Plunge and Tether’s Audit: Who Will Win the Stablecoin Race?

Clarity bill proposes to ban interest-bearing stablecoins, causing Circle’s stock to plunge over 20%. Meanwhile, Tether has hired a Big Four accounting firm for its first comprehensive audit. This article provides an in-depth analysis of the divergent strategies of these two stablecoin giants and their impact on the industry.

2026-03-25

Trillion-Dollar Race for Dominance: How Gate TradFi Is Reshaping Traditional Assets Through Tokenization

The tokenization of TradFi assets isn’t just a future option—it’s a necessity today. Gate is leading this financial paradigm shift with its forward-thinking product suite and robust compliance foundation.

2026-03-12

Ferrari NV (RACE) FAQ

What's the stock price of Ferrari NV (RACE) today?

Ferrari NV (RACE) is currently trading at $334,01, with a 24h change of -%1,26. The 52-week trading range is $330,45–$341,86.

What are the 52-week high and low prices for Ferrari NV (RACE)?

What is the price-to-earnings (P/E) ratio of Ferrari NV (RACE)? What does it indicate?

What is the market cap of Ferrari NV (RACE)?

What is the most recent quarterly earnings per share (EPS) for Ferrari NV (RACE)?

Should you buy or sell Ferrari NV (RACE) now?

What factors can affect the stock price of Ferrari NV (RACE)?

How to buy Ferrari NV (RACE) stock?

Risk Warning

The stock market involves a high level of risk and price volatility. The value of your investment may increase or decrease, and you may not recover the full amount invested. Past performance is not a reliable indicator of future results. Before making any investment decisions, you should carefully assess your investment experience, financial situation, investment objectives, and risk tolerance, and conduct your own research. Where appropriate, consult an independent financial adviser.

Disclaimer

The content on this page is provided for informational purposes only and does not constitute investment advice, financial advice, or trading recommendations. Gate shall not be held liable for any loss or damage resulting from such financial decisions. Further, take note that Gate may not be able to provide full service in certain markets and jurisdictions, including but not limited to the United States of America, Canada, Iran, and Cuba. For more information on Restricted Locations, please refer to the User Agreement.

Other Trading Markets

RACE

CFD

Trade

Ferrari NV (RACE) Latest News

2026-03-25 10:30

Gate will hold the "Racing the Future" crossover exhibition at Victoria Harbour in Hong Kong from April 18 to 24.

Gate News, March 25 — The digital asset platform Gate announced that it will partner with the F1 Red Bull Racing Team to jointly launch the outdoor crossover exhibition "Racing the Future" from April 18 to 24 at Victoria Harbour, Hong Kong. As a key highlight of Gate's 13th anniversary global celebration, the event will be held at the landmark cultural and commercial space K11 MUSEA Waterfront Promenade, covering 238 square meters and open to the public. The exhibition will showcase racing engineering and immersive interactive experiences, blending speed culture with technological elements. As an official sponsor of the F1 Red Bull Racing Team, Gate will feature the new 2026 Red Bull Racing cars and core equipment for the first time, along with an immersive interactive zone that recreates the fusion of top-tier racing engineering and speed aesthetics. Exhibits including racing suits, gear, and gloves of champion driver Max Verstappen and driver Isack Hadjar will be on display, along with a giant helmet installation of Max Verstappen.

2026-03-22 04:13

Haun Ventures CEO: Mastercard's $1.8 Billion Acquisition of Stablecoin Company, AI Agents to Drive Demand Growth

Gate News reports that on March 22, Haun Ventures founder and CEO Katie Haun told CNBC that a global arms race is underway in the payments sector. Mastercard announced this week it has acquired stablecoin infrastructure company BVNK for up to $1.8 billion, marking one of its largest acquisitions ever. Stablecoins enable instant, frictionless transfer of digital dollars worldwide, with transaction volumes reaching $12.5 trillion. On the regulatory front, Katie Haun said that this week, the CFTC and SEC jointly issued guidance on the core issues of what constitutes a security versus a commodity in the crypto industry. The Senate Banking Committee is pushing forward a compromise plan, which is expected to be announced as early as today. With only three working months left before the midterm elections, Congress needs to swiftly pass the CLARITY Act after the Easter recess. Regarding the integration of AI and blockchain, Katie Haun stated that AI agents will increasingly replace humans in executing transactions and payments. These agents require 24/7, real-time settlement worldwide, and stablecoins are the infrastructure built for this new era.

2026-03-19 07:39

Musk: AI Race Will Be Won by Google in the West, China on Earth, and SpaceX in Space

Gate News reports that on March 19, Abacus.AI CEO and co-founder Bindu Reddy posted on X criticizing Google Gemini 3.0 for not meeting expectations, noting that most users are still on version 2.5. She suggested that Google abandon side projects and train 100 models with 100 teams to select the best. Elon Musk replied, "Google will win the AI race in the West, China will win the Earth, and SpaceX will win space." SpaceX completed its merger with xAI in February this year, with a post-merger valuation of $1.25 trillion. Musk's comment indicates that SpaceX's AI business is included in this valuation.

2026-03-19 06:56

Privacy AI Race Heats Up: Venice Launches End-to-End Encryption Model, VVV Token Rises 10% in One Day

Gate News, March 19 — Venice, an AI project founded by Erik Voorhees, has released a new encrypted AI interface model that introduces end-to-end encryption (E2EE) and Trusted Execution Environment (TEE), emphasizing the concept of "verifiable privacy." Following this announcement, the VVV token price surged briefly, rising from about $5.4 to nearly $6, an increase of approximately 10%. This upgrade further enhances the existing anonymous proxy access and zero-data retention mechanisms. TEE is supported by NEAR AI Cloud and Phala Network, running AI computation tasks in hardware-isolated environments and generating encrypted proofs through remote attestation, allowing external users to verify the integrity of the model's operation and prevent operators from accessing sensitive data. In terms of data security, E2EE ensures full encryption from the user device to the GPU computing nodes, with decryption only occurring within verified secure environments. This means that neither Venice nor its infrastructure partners can access plaintext data at any stage, significantly reducing the risk of data leaks. However, this mode also introduces certain functional limitations. For example, features like web search and context memory depend on unencrypted data access, so they are disabled in the current version. The team states this is a trade-off between privacy and functionality, prioritizing data security and verifiability. Currently, TEE and E2EE features are only available to Venice Pro subscription users. Industry experts believe that as AI and blockchain integration deepens, AI infrastructure with verifiable privacy features may become a new focus of competition. The short-term performance of the VVV token also reflects the market's increasing sensitivity to the "privacy AI + encrypted computing" narrative.

2026-03-05 02:34

Sahara AI Releases 2026 Strategic Blueprint: Leading the Agentic AI Race

PANews March 5 News, Sahara AI announced its 2026 strategic roadmap. With flagship investment intelligence Sorin and the local deployment tool ClawApp based on OpenClaw, Sahara AI is driving the paradigm shift of AI from dialogue to autonomous execution. Its underlying architecture will fully incorporate long-term memory for agents, multi-agent collaboration networks, and automatic settlement at the protocol layer, creating a closed loop for on-chain value flow. Currently, Sahara AI has served over 40 top institutions including Microsoft, Amazon, and MIT, generating tens of millions of dollars in revenue. By 2026, it aims to evolve AI from an assistant into autonomous productivity, upgrading the living experience while building a fair, open, decentralized Agentic Economy.

Hot Posts About Ferrari NV (RACE)

Ariella_Steep

18 minutes ago

BREAKING: The White House now believes a deal with Iran is POSSIBLE before the 8PM deadline tonight… And suddenly, the entire global market is holding its breath. This isn’t just another headline. This is a tipping point moment. For weeks, tensions have been escalating; airstrikes, threats, disrupted oil routes, rising global fear. Then comes the ultimatum: Iran has until 8PM to respond… or face massive escalation, including potential strikes on critical infrastructure like power plants and bridges. At the same time, something interesting is happening behind the scenes. Negotiations haven’t stopped. They’ve intensified. Iran has already sent proposals. Mediators from multiple countries are involved. And U.S. officials are seeing just enough progress to believe a deal could still happen. Vice President JD Vance even hinted that the next move is now in Iran’s hands, expressing confidence that a response will come before the deadline. So what we’re watching right now is not just diplomacy… It’s a race against escalation. Two possible outcomes: • A last-minute deal → de-escalation, market relief • No deal → immediate escalation, global shockwaves And the stakes? Massive. We’re talking: – oil supply disruption – global inflation pressure – risk asset volatility – crypto reacting in real time This is why the market feels unstable. Because it’s not just reacting to price anymore… it’s reacting to real-world decisions happening in real time. And moments like this? They remind you of one thing: Markets don’t move on charts alone. They move on events, uncertainty, and human decisions. https://www.gate.com/referral/registry?ref=VQURUFOOBG&ref_type=103&page=superRebate #GateSquareAprilPostingChallenge

K-LinePoet

45 minutes ago

If someone asks who the biggest winner is in the AI era, the answer is almost beyond doubt—NVIDIA. With a steady stream of H100 chips in high demand, it’s like a vendor selling shovels during a gold rush: while AI companies around the world fight tooth and nail, NVIDIA quietly rolls in massive profits, with its market value surging skyward. The latest financial filings show that NVIDIA will invest a total of $26 billion over the next 5 years to fully advance the R&D of open-source AI foundation models. This means NVIDIA is no longer satisfied with just selling shovels—it’s about to jump in personally to dig for gold. 　　**Big-Spending Investment** 　　On March 12, according to financial filings submitted by NVIDIA to the U.S. Securities and Exchange Commission (SEC), NVIDIA will invest a total of $26 billion (about RMB 178.8 billion) over the next 5 years to fully advance the R&D of open-source AI foundation models. NVIDIA has also officially begun its strategic transition from a “chip manufacturer” to a “full-stack top AI laboratory.” 　　According to the plan, NVIDIA’s $26 billion investment is not focused solely on developing a single model. Instead, it will cover the entire industrial chain of open-source AI foundation models. The funding will be rolled out gradually within the next 18 to 24 months, and the first self-developed open-source AI models are expected to be officially released as early as late 2026 to early 2027. 　　For comparison, this scale of investment far exceeds the $3 billion spent when OpenAI trained GPT-4. And on the technical roadmap, NVIDIA has chosen a “open-weight” “middle path.” This model sits between OpenAI’s fully closed approach and Meta’s fully open Llama series. 　　Specifically, NVIDIA will make the key parameters (weights) of the open model public, allowing enterprises and developers to download and use them for free, run and fine-tune them on their own devices or private clouds—meeting companies’ needs for data privacy, customization, and cost control. However, the model’s training data and code may not be fully disclosed. 　　Andy Konwinski, founder of the non-profit Laude Institute focused on promoting AI openness and a computer scientist, characterized NVIDIA’s investment as a milestone signal. “They are at the point of intersection between many open and closed AI projects,” Konwinski said. “This is an unprecedented statement of their belief in openness.” 　　In addition, industry analysis notes that an open-source strategy also has longer-term commercial significance for NVIDIA. When NVIDIA releases its models, it will publish weights and technical details, making it easier for startups and researchers to modify and innovate on top of its technical foundation. This helps form a developer network around NVIDIA’s hardware ecosystem, further strengthening the stickiness of NVIDIA’s chips in the market. 　　**Comparable to OpenAI** 　　Since NVIDIA released its first Nemotron model in November 2023, it has gradually rolled out specialized models for vertical fields such as robotics, climate modeling, and protein folding. NVIDIA’s Vice President of Research in Deep Learning, Bryan Catanzaro, also revealed that NVIDIA has recently completed the pre-training of a 550-billion-parameter model. In core model R&D, NVIDIA will focus on developing frontier large models that are multimodal and cross-domain, covering multiple directions such as language, code, scientific computing, and agents. 　　Recently, NVIDIA also introduced a new generation of open large language model, Nemotron 3 Super, designed specifically for enterprise-grade multi-agent systems. The model has a total parameter count of 128 billion (with inference activating only 12 billion). It natively supports a super-long context window of 1 million tokens. Unlike the mainstream API access model, NVIDIA has opened the model weights, the pre-training/post-training datasets, and the full training scheme. 　　With 128 billion parameters, the scale is broadly comparable to the largest version of OpenAI GPT-OSS. NVIDIA claims that in the AI Index composite score, Nemotron 3 Super scored 37 points, while GPT-OSS scored only 33 points. 　　Worth noting is that NVIDIA also acknowledges that the scores of some Chinese models are higher than this level. In addition, NVIDIA says that Nemotron 3 Super participated in a new benchmarking test called PinchBench, which specifically evaluates a model’s control ability over OpenClaw. Nemotron 3 Super ranked first in this test. 　　On the technical side, NVIDIA has disclosed multiple innovative methods used to train this model, covering architectural and training techniques that improve the model’s inference capability, long-context handling ability, and reinforcement-learning response capacity. 　　Catanzaro said, “NVIDIA is giving far more attention than ever before to open-model development, and we are making a lot of progress.” 　　On the ecosystem front, NVIDIA has already reached partnerships with major cloud service providers and hardware vendors such as Google Cloud Vertex AI, Oracle Cloud infrastructure, Dell Technologies, HPE, and others. Integration with Amazon AWS Bedrock and Microsoft Azure is also in the works. Software agent companies such as CodeRabbit, Factory, and Greptile, as well as life science institutions Edison Scientific and Lila Sciences, have also announced that they will integrate this model into their agent workflows. 　　**Redefining the Roadmap** 　　For a long time, NVIDIA’s core advantage has been concentrated in chip hardware. Its global market share in AI chips exceeds 80%, but its influence in the AI model layer has been comparatively weaker. Previously, most technical standards and training paradigms for large models were defined by vendors such as OpenAI and Meta. 　　NVIDIA’s move to develop a top open-source model in-house is essentially intended to define the technical roadmap for AI models from the ground up—making its own hardware architecture and software stack become the de facto standards across the entire AI industry. By driving compute demand through open-source models, the aim is that if Nemotron becomes the mainstream foundation model for enterprise agent AI, then the GPU infrastructure required to run it at scale will still rely heavily on NVIDIA. While pushing openness at the model layer, NVIDIA also consolidates demand lock-in at the hardware layer. 　　Financial analysts predict that if NVIDIA can successfully capture 10% share in the foundation model market while consolidating its position as a hardware hegemon, this could add as much as $50 billion in extra revenue per year for the company within three years. Bryan Catanzaro said that promoting the development of an open-source ecosystem fully aligns with NVIDIA’s core interests. This large-scale investment is not blind bandwagoning—it is a strategic choice made after long-term industry research and judgment. 　　Local time on Tuesday, NVIDIA CEO Jensen Huang also published a rare long-form blog post about artificial intelligence. It is the seventh public long article he has published since 2016. The piece systematically explains the underlying logic of the AI industry, and in the article Huang defines AI’s “five-layer architecture.” He said that the AI industry is still in an extremely early stage of development; although the industry has invested thousands of billions of dollars, the true potential of AI has not yet been fully unlocked. In the future, it will still require ongoing investments of tens of thousands of billions to improve the underlying infrastructure. 　　Huang pointed out that AI has become one of the strongest forces shaping the world today. It is not a single intelligent application or model, but—like electricity and the internet—it is vital infrastructure. It runs on real-world hardware, energy, and economic foundations, can absorb raw materials and convert them into scalable intelligence. In the future, every company will use AI, and every country will build AI infrastructure. 　　Regarding employment concerns brought about by AI development, Huang believes that AI will not reduce jobs. Instead, it will create a large number of new employment opportunities—especially in infrastructure and skilled trades. The labor required to support building AI infrastructure is extremely large. AI factories need electricians, plumbers, steelworkers, network technicians, installers, operators, and so on. These are high-skill, high-pay jobs that are currently in short supply. AI is filling the massive global labor gaps in jobs such as truck drivers, nurses, and accountants, rather than manufacturing unemployment.

Hachedr9

1 hours ago

#Gate广场四月发帖挑战 The trend behind the hashtag OpenAI is quietly positioning itself toward what could become one of the most significant IPOs in the AI era, and the reason this hashtag is trending is not hype, but data. Valuation and Financial Momentum The rise of #OpenAIPlansIPO is driven by a clear combination of increasing valuation, revenue expansion, and growing institutional interest. OpenAI is currently valued between $80 billion and $100 billion in private markets, making it one of the most valuable AI companies worldwide. This valuation is supported by billions in revenue from ChatGPT subscriptions, enterprise API usage, and large-scale licensing deals. Why IPO expectations are forming: What makes this hashtag relevant now is the transformation happening within the AI industry. AI is no longer a testing ground; it has become essential infrastructure. This shift requires massive and ongoing capital, and that’s where IPO expectations start to take shape. Public markets provide long-term liquidity and expansion that private funding alone cannot support with such growth. Competitive Pressure in AI: At the same time, competition is accelerating. Companies like Google DeepMind, Anthropic, and xAI are expanding rapidly, turning the AI field into a high-stakes race. In this environment, an IPO is not just a financial event but a strategic move to ensure long-term dominance. Investor Demand and Market Position: Another key reason for the hashtag’s prominence is investor demand. Institutional capital is actively seeking direct exposure to AI. While companies like Nvidia represent the infrastructure layer, OpenAI represents the application and intelligence layer— the part of the package that typically captures long-term value once adoption scales. Business Model Strength: This business model further reinforces the narrative. OpenAI does not rely on a single revenue source. It operates through consumer subscriptions, enterprise integrations, and strategic partnerships, creating a diverse and scalable structure. The rapid growth in enterprise adoption is particularly important, as companies embed AI into daily operations, turning usage into recurring revenue. Risks and Reality Check: However, the hashtag is not driven by optimism alone. Real constraints are part of the discussion. Regulatory pressures around AI safety and data use are increasing worldwide. The cost of building and maintaining advanced AI systems remains very high, requiring billions in infrastructure investments. Additionally, reliance on key partners like Microsoft adds both strength and dependency risks. Market Sentiment: Market sentiment around #OpenAIPlansIPO reflects a mix of excitement and caution. Social discussions are intensifying, investors are watching closely, and the overall AI narrative continues to gain momentum. At the same time, expectations are very high, meaning any future IPO will face intense scrutiny from day one. IPO Timeline Indicators: There is currently no confirmed IPO schedule, but signals typically seen before a public listing are already forming. Strong valuation growth, revenue expansion, increased institutional interest, and a clear competitive position all point toward a realistic path to public markets in the coming years. Final Summary: The reason this hashtag is significant is simple. OpenAI is no longer just a research organization; it has become a central player in the global AI economy. An IPO will not just be another tech listing but a major shift in how the AI industry is financed, expanded, and valued. The trend is not about whether OpenAI will go public but when the timing aligns for maximum market impact, and data now suggests that moment is approaching more closely. #OpenAIPlansIPO #GateSquareAprilPostingChallenge Deadline: April 15 Details: https://www.gate.com/announcements/article/50520

Ferrari NV Price