META

Prezzo Meta Platforms

META
$684,15
+$6,63(+0,97%)

*Data last updated: 2026-04-17 14:33 (UTC+8)

As of 2026-04-17 14:33, Meta Platforms (META) is priced at $684,15, with a total market cap of $1,70T, a P/E ratio of 27,52, and a dividend yield of 0,31%. Today, the stock price fluctuated between $675,13 and $687,78. The current price is 1,33% above the day's low and 0,52% below the day's high, with a trading volume of 8,87M. Over the past 52 weeks, META has traded between $520,00 to $796,25, and the current price is -14,07% away from the 52-week high.

META Key Stats

Yesterday's Close$671,58
Market Cap$1,70T
Volume8,87M
P/E Ratio27,52
Dividend Yield (TTM)0,31%
Dividend Amount$0,52
Diluted EPS (TTM)23,98
Net Income (FY)$60,45B
Revenue (FY)$200,96B
Earnings Date2026-04-29
EPS Estimate6,69
Revenue Estimate$55,48B
Shares Outstanding2,54B
Beta (1Y)1.309
Ex-Dividend Date2026-03-16
Dividend Payment Date2026-03-26

About META

Meta Platforms, Inc. engages in the development of products that enable people to connect and share with friends and family through mobile devices, personal computers, virtual reality headsets, and wearables worldwide. It operates in two segments, Family of Apps and Reality Labs. The Family of Apps segment offers Facebook, which enables people to share, discuss, discover, and connect with interests; Instagram, a community for sharing photos, videos, and private messages, as well as feed, stories, reels, video, live, and shops; Messenger, a messaging application for people to connect with friends, family, communities, and businesses across platforms and devices through text, audio, and video calls; and WhatsApp, a messaging application that is used by people and businesses to communicate and transact privately. The Reality Labs segment provides augmented and virtual reality related products comprising consumer hardware, software, and content that help people feel connected, anytime, and anywhere. The company was formerly known as Facebook, Inc. and changed its name to Meta Platforms, Inc. in October 2021. Meta Platforms, Inc. was incorporated in 2004 and is headquartered in Menlo Park, California.
SectorCommunication Services
IndustryInternet Content & Information
CEOMark Elliot Zuckerberg
HeadquartersMenlo Park,CA,US
Official Websitehttp://www.meta.com
Employees (FY)78,86K
Average Revenue (1Y)$2,54M
Net Income per Employee$766,60K

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2026-03-12

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2026-02-26

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2026-02-25

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Meta Platforms (META) is currently trading at $684,15, with a 24h change of +0,97%. The 52-week trading range is $520,00–$796,25.

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Meta Platforms (META) Latest News

2026-04-17 12:11

Houston Crypto Fraudster Sentenced to 23 Years for $20M Meta-1 Coin Scam

Gate News message, April 17 — Robert Dunlap, a 55-year-old Houston entrepreneur, was sentenced to 23 years in federal prison on April 15 for orchestrating a massive cryptocurrency fraud scheme worth $20 million. U.S. District Judge LaShonda A. Hunt delivered the verdict in the Northern District of Illinois, where Dunlap was previously convicted on two counts of mail fraud. Between 2018 and 2023, Dunlap promoted Meta-1 Coin as a digital asset backed by $44 billion in gold (verified by an accounting firm) and $1 billion in fine art by Picasso, Van Gogh, and Dalí. Investors were promised minimal-risk returns of up to 224,923%. Dunlap's automated trading bots on the Meta Exchange platform created false impressions of rising prices and volume. However, the gold and paintings never existed. Dunlap and accomplices fabricated documents, misled over 1,000 victims who liquidated IRAs and life savings, and siphoned millions to purchase luxury items including a Ferrari. An SEC emergency asset freeze in 2020 failed to halt the scheme, which continued until federal authorities intervened. Dunlap was ordered to pay full restitution to victims. Prosecutors called him "unrepentant," noting his deceptions grew bolder over time. Dunlap's conviction coincides with rising crypto fraud. The FBI's 2025 Internet Crime Report, released April 6, revealed that U.S. citizens lost nearly $21 billion to cybercrimes, with crypto fraud accounting for 181,565 cases totaling over $11 billion—a 22% year-over-year increase. Texas ranked second nationally in cybercrime losses at $1.8 billion. Recently, an international operation between the U.S., Britain, and Canada targeted "pig-butchering" investment scams, freezing approximately $12 million in stolen crypto assets from an estimated $45 million in total theft.

2026-04-17 07:41

Australian Billionaire Forrest Challenges Meta's Section 230 Defense Over Scam Ads Using His Image

Gate News message, April 17 — Australian billionaire and mining executive Andrew Forrest is challenging Meta in court, asking a judge to rule that the platform cannot use Section 230 protections to avoid liability for deceptive Facebook ads that used his image to promote cryptocurrency and financial scams. According to the suit, thousands of paid ads have used Forrest's likeness since 2019, with Meta's ad tools helping to optimize, personalize, and distribute the fraudulent content. Meta argues that advertisers created the ads, not the company, and that it took reasonable steps to preserve relevant data. However, a federal judge found a factual dispute over Meta's role, stating that if Meta's ad-creation and optimization tools helped produce the allegedly illegal content, Section 230 protections may not apply at the motion-to-dismiss stage. The judge allowed Forrest's claims, including negligence and misappropriation, to proceed, with a ruling expected in the coming weeks. The case is part of a broader legal strategy to narrow Section 230 defenses by targeting platform design and systems rather than treating platforms as passive publishers. Other plaintiffs are now citing this ruling in similar cases involving Meta's ad tools, raising concerns that platforms could face significantly increased liability for third-party advertisements they help optimize or distribute.

2026-04-17 06:13

Google Launches Gemini 3.1 Flash TTS with Enhanced Emotional Expression and Multi-Speaker Capabilities

Gate News message, April 17 — Google unveiled Gemini 3.1 Flash TTS, an advanced text-to-speech model with enhanced emotional expression and control features, on April 15. The new model will be rolled out progressively through developer APIs, enterprise Vertex AI, and collaboration tools. The model's core capabilities include natural language-based audio tags for fine-tuning speed, intonation, and emotion, plus a "Director Mode" for specifying scenes and character roles to generate more nuanced voice outputs. A multi-speaker feature enables simultaneous dialogue generation, allowing more natural conversation flows suitable for podcasts, audio content, and AI assistants. The model supports over 70 languages and dialects, reflecting regional accents and expressions for localized voice experiences globally. Google emphasized performance and cost efficiency, achieving high scores on blind human evaluation benchmarks while reducing computational costs through its Flash architecture—designed for large-scale enterprise adoption. Generated audio includes SynthID watermarking to identify AI-generated content and combat misinformation. The move reflects intensifying competition in voice interfaces. OpenAI is combining real-time voice features with conversational AI for human-like interactions, while Meta is expanding investments in AI characters with voice-based social experiences. Industry observers note that while high-level acting and creative work may remain human-driven for now, repetitive and large-scale production markets could see gradual AI adoption in dubbing, advertising, and audiobook sectors.

2026-04-17 06:06

Crypto Fraudster Robert Dunlap Sentenced to 23 Years for $20M Meta-1 Coin Scam

Gate News message, April 17 — Robert Dunlap, 55, of Houston, Texas, was sentenced to 23 years in federal prison for orchestrating a $20 million cryptocurrency fraud through Meta-1 Coin Trust from 2018 to 2023. U.S. District Judge LaShonda A. Hunt of the Northern District of Illinois convicted Dunlap on mail fraud charges and ordered him to pay restitution to victims, many of whom lost retirement funds and life savings. Dunlap falsely claimed the Meta-1 Coin token was backed by $1 billion in fine art, including works attributed to Pablo Picasso, Vincent van Gogh, and Salvador Dalí, plus $44 billion in gold reserves—totaling approximately $45 billion in claimed assets. Prosecutors said none of this backing existed. Dunlap used fabricated audits, certifications, and other forged documents to make the assets appear real and attract nearly 1,000 investors. The scheme collected just over $20 million from victims despite the false $45 billion asset claims. The 23-year sentence ranks among the harshest imposed in a U.S. cryptocurrency fraud case, reflecting the severity of the scheme that combined cryptocurrency appeal with false references to high-value art and gold to persuade investors of legitimacy.

2026-04-17 02:31

Meta Raises Quest VR Headset Prices Citing Higher Memory Chip Costs

Gate News message, April 17 — Meta will increase US prices for its Quest 3S and Quest 3 VR headsets starting April 19, citing rising memory chip costs driven by strong AI data center demand. The Quest 3S price will rise to $349.99 to $449.99, while the Quest 3 will cost $599.99. Meta said the price increases will also apply to refurbished Quest units, though accessory prices remain unchanged. The move mirrors similar price hikes by Samsung, Microsoft, and Sony as memory chip shortages tighten consumer electronics supply.

Hot Posts su Meta Platforms (META)

CryptoDiscovery

CryptoDiscovery

6 minuti fa
#JaneStreetBets$7BonCoreWeave This is not just another investment headline. This is a signal that Wall Street is going all-in on AI infrastructure. Jane Street has committed $7 billion into CoreWeave — a combination of: $6B in AI cloud compute contracts $1B direct equity investment This is not venture capital. This is strategic positioning at scale. What Just Happened — And Why It Matters This deal is one of the clearest confirmations of a major shift: Financial firms are no longer just trading markets. They are investing directly into the infrastructure that powers them. Jane Street is not buying hype. They are buying compute power, data dominance, and speed advantage. The agreement gives them access to next-gen AI infrastructure, including massive GPU clusters used to train and deploy advanced models. This is where the real edge is built. The Real Trade — Not Stocks, But Intelligence Traditional edge in markets used to come from: Better models Faster execution More capital Now, the edge is shifting toward: Better data processing Larger AI models Faster compute infrastructure Jane Street is effectively securing the backbone required to: Train large-scale trading models Process massive noisy datasets Continuously refine strategies in real time This is not optimization. This is evolution of trading itself. Why CoreWeave? CoreWeave is not a typical cloud provider. It is an AI-native infrastructure company built specifically for: High-performance computing GPU-intensive workloads Large-scale model training Demand for this type of infrastructure is exploding. The company has already secured massive deals with major players like Meta and Anthropic, pushing its valuation above $60B. And now, financial institutions are entering the same race. Wall Street Is Entering the AI Arms Race This move changes the narrative completely. AI is no longer just a tech sector story. It is now a financial market arms race. Quant firms, hedge funds, and institutions are realizing: If you don’t control compute You don’t control models If you don’t control models You don’t control performance Jane Street is making sure it stays ahead. The Bigger Picture — Capital Rotation Into AI Look at the pattern: Massive AI infrastructure deals Billions flowing into compute providers Explosive demand for GPUs and data centers This is not random. This is capital rotation into the foundation layer of AI. Even CoreWeave itself is aggressively raising funds and expanding capacity to meet this demand surge. Because demand is not slowing down. It is accelerating. What This Means for Markets This changes how we should think about the future: Trading will become more AI-driven Markets will become faster and more efficient Competition will shift toward data + compute advantage And most importantly: The winners will not just be traders. The winners will be those who control infrastructure. Final Insight #JaneStreetBets$7BonCoreWeave is not just a deal. It is a declaration: Wall Street is no longer watching the AI revolution. It is actively funding and building it. Final Thought The next generation of market dominance will not be decided on trading screens. It will be decided in data centers. And right now… The smartest money is already positioning for that future.#JaneStreetBets$7BonCoreWeave
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Yusfirah

Yusfirah

1 ore fa
#AIInfraShiftstoApplications The Era of Building Is Ending. The Era of Deployment and Execution Has Begun. The global AI cycle is undergoing a structural transition that will define the next decade of technology value creation. For the past three years, the dominant narrative was infrastructure—GPUs, data centers, cloud expansion, and compute scaling. That phase created the physical foundation of AI, but it is no longer the primary source of competitive differentiation. In 2026, the center of gravity is shifting decisively from infrastructure accumulation to application-layer monetization and autonomous system deployment. The question is no longer who can build the largest compute stack, but who can convert that compute into scalable, governed, production-grade intelligence embedded directly into economic workflows. The scale of infrastructure investment has already reached historic proportions. Hyperscalers including Microsoft, Amazon, Alphabet, and Meta are collectively guiding toward nearly $700 billion in AI-related capital expenditure in 2026, overwhelmingly focused on compute infrastructure, networking, and data center expansion. Amazon alone is operating at roughly $200 billion annual capex, explicitly signaling that AI infrastructure is now a core industrial operating layer rather than a discretionary investment cycle. At the macro level, global AI spending is projected to exceed $2.5 trillion in 2026, with more than half still concentrated in infrastructure buildouts. However, this phase represents saturation of supply-side capability rather than expansion of value creation. Once compute becomes abundant, scarcity shifts toward orchestration, integration, and deployment efficiency. The defining structural shift underway is the rise of agentic AI systems. Gartner projects that nearly 40% of enterprise applications will embed autonomous AI agents by the end of 2026, compared to negligible adoption just two years earlier. This is not incremental feature adoption; it is a redefinition of enterprise software architecture. Venture capital activity confirms this transition, with agentic AI startups raising over $24 billion in 2025 alone, representing a dominant share of multi-year AI venture flows. Capital is no longer betting on model training improvements alone but on systems that can execute multi-step tasks, interact with enterprise tools, and autonomously manage workflows. Across the enterprise ecosystem, a synchronized shift is already visible. Microsoft is embedding persistent Copilot agents across its productivity stack, transforming static applications into continuous execution environments. AWS is building structured governance layers for agent fleets through Bedrock Agent frameworks, effectively creating an operating system for enterprise AI coordination. Google Cloud is expanding multimodal agent capabilities across its enterprise suite, while Oracle is integrating agentic workflows directly into Fusion applications across finance, HR, and supply chain systems. Meanwhile, Cloud-native ecosystems are evolving toward treating agents as first-class compute entities rather than API-driven extensions. The strategic race is no longer about model superiority but about control over the orchestration layer where agents operate, interact, and execute decisions. This shift is fundamentally altering AI economics. The earlier phase was dominated by training scale, parameter growth, and inference optimization. The current phase is driven by execution density—how many meaningful tasks can be automated per unit of compute. Value is migrating from model providers toward systems that own workflows, integrate deeply into enterprise operations, and reduce decision latency. In this new structure, software is no longer a passive toolset but an active operational layer capable of executing business logic continuously. The winners are those who control not just intelligence, but deployment surfaces where intelligence acts. A parallel signal is emerging in digital asset markets, where AI-linked tokens have shown relative strength compared to broader crypto weakness. AI-focused sectors remained among the few positive performers in early 2026 even as major assets declined significantly. Decentralized AI networks such as Bittensor and related ecosystems are experimenting with incentive structures for distributed intelligence, compute contribution, and model coordination. While still highly experimental and volatility-driven, this reflects an early-stage attempt to build open coordination layers for AI systems outside centralized cloud control. At the institutional level, convergence between traditional compute infrastructure and formerly crypto-native firms is accelerating, reinforcing the idea that AI, compute, and incentive networks are beginning to intersect structurally. Looking forward, the next evolution is the emergence of agent economies, where AI systems not only execute tasks but coordinate with other agents, allocate resources, and optimize multi-system workflows autonomously. In such an environment, humans define objectives while agents handle execution, negotiation, and optimization across enterprise and digital systems. This marks a shift from software-assisted decision-making to autonomous operational loops embedded across industries. Ultimately, the winners of this cycle will not be defined by who built the most advanced models or deployed the most GPUs. They will be defined by who owns the deepest integration into real-world workflows, who controls agent orchestration layers, and who enables autonomous systems to operate safely, reliably, and at scale inside production environments. Infrastructure enabled AI. Applications are monetizing it. Agents are transforming it into an autonomous economic layer. The shift is not a prediction. It is already in motion.
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PumpDetector

PumpDetector

1 ore fa
Just scrolled through some wild wealth rankings and honestly, the gap between regular CEO compensation and these guys is absolutely insane. So Elon Musk is still crushing it at $411 billion net worth. Even after the Twitter acquisition drama, dude's basically untouchable. The guy went from $150 billion surge between 2020-2021, and he's just kept the momentum going. Meanwhile, Jeff Bezos is sitting at $245 billion but he's not even a CEO anymore, so technically Musk's the highest paid CEO in the world when you factor in actual operational control. Mark Zuckerberg's at $247.6 billion now - became a millionaire at 22, billionaire at 23. That's wild. The Meta rebrand didn't slow him down one bit despite all the criticism. Then you've got Jensen Huang at Nvidia with $153.8 billion. This guy's basically riding the AI wave. Nvidia's market cap hit $3.14 trillion. Only owns 3% but that's enough to make him one of the richest execs on the planet. Warren Buffett's still in the club with $143.8 billion running Berkshire Hathaway. What's interesting is he's planning to step back at the end of 2025 - guy's 95 and actually wants to retire. Plus he's given away like $60 billion already, which is insane. The rest of the list gets interesting too. Amin Nasser running Saudi Aramco sits at $23 billion. Then you've got Tim Cook at Apple with $2.4 billion - rare non-founder billionaire. Sundar Pichai and Satya Nadella both around $1.1 billion each. The real thing that stands out? Most of the highest paid CEO in world rankings are founders or early equity holders. Just a salary doesn't get you there - it's the stock holdings and ownership stakes that create these massive fortunes. Wild to see how different their wealth is compared to regular executive compensation packages.
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