META

Meta Platforms Price

Closed
META
$596,70
+$24,18(+%4,22)

*Data last updated: 2026-04-08 04:32 (UTC+8)

As of 2026-04-08 04:32, Meta Platforms (META) is priced at $596,70, with a total market cap of $1,44T, a P/E ratio of 27,52, and a dividend yield of %0,36. Today, the stock price fluctuated between $564,76 and $599,56. The current price is %5,65 above the day's low and %0,47 below the day's high, with a trading volume of 8,98M. Over the past 52 weeks, META has traded between $520,00 to $796,25, and the current price is -%25,06 away from the 52-week high.

META Key Stats

Yesterday's Close$573,02
Market Cap$1,44T
Volume8,98M
P/E Ratio27,52
Dividend Yield (TTM)%0,36
Dividend Amount$0,52
Diluted EPS (TTM)23,98
Net Income (FY)$60,45B
Revenue (FY)$200,96B
Earnings Date2026-04-29
EPS Estimate6,67
Revenue Estimate$55,35B
Shares Outstanding2,52B
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

Learn More about Meta Platforms (META)

Gate Learn Articles

Understanding the Meta-game.

Meta-game is a complex and esoteric concept in the field of encryption, involving game theory and behavioral economics. It includes underlying mechanisms, behavioral changes, best response functions, and reflex loops. Metagames inspire narratives through catalysts, influence price movements, and form reflexive loops through behavioral changes among market participants. Metagames can be self-enhancing or self-defeating, affecting their duration and trading strategies. The article uses examples such as the ETH killer trade, Facebook’s rebranding to Meta, and BTC ETF flows to demonstrate how the metagame works and how investors can identify and exploit these games to gain value.

2024-05-27

What are Meta Transactions (ERC-2771)? (2025)

What are Meta Transactions (ERC-2771)? (2025) Learn about this standard and meta transactions. Explore its benefits, mechanics, and 2025 latest developments including expanded real-world applications in gaming and NFT platforms, Biconomy's multi-chain relayer advancements, improved ecosystem integration, and enhanced security frameworks driving mainstream blockchain adoption through gasless interactions.

2025-06-17

Pendle - Beyond the Point Meta

"Point Meta" refers to a system that distributes points through a protocol. Pendle’s YT function essentially allows users to "leverage to purchase points," attracting significant capital to the platform. However, Boros has introduced a series of additional features, creating a flywheel effect and achieving product-market fit.

2024-12-11

Meta Platforms (META) FAQ

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Meta Platforms (META) is currently trading at $596,70, with a 24h change of +%4,22. The 52-week trading range is $520,00–$796,25.

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Risk Warning

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Meta Platforms (META) Latest News

2026-04-03 00:16

SpaceX increases its IPO target valuation to $2 trillion, surpassing Meta and Tesla

Gate News message, April 3, a person with knowledge of the matter revealed that SpaceX has raised its target valuation for its first initial public offering (IPO) to more than $2 trillion. The company and its advisers are sharing this valuation target with prospective investors as they prepare for meetings over the coming weeks. These so-called “tasting-the-water” briefings may include more information supporting the valuation. In February, reports said that after SpaceX acquired Musk’s xAI, the combined company’s valuation was $1.25 trillion. Based on a $2 trillion valuation, SpaceX would surpass all companies in the S&P 500 except for Nvidia, Apple, Alphabet, the parent company of Google, Microsoft, and Amazon, and it would also surpass two additional companies among the U.S. stock “Magnificent Seven”—Meta and Tesla, which is also under Musk’s control.

2026-04-01 09:47

Bitcoin’s market cap drops to the world’s 14th largest asset, overtaken by Meta and Tesla

Gate News report: On April 1, according to 8marketcap data, Bitcoin (BTC) currently has a market cap of about $1.37 trillion, ranking 14th globally by asset market value, down 2 places from earlier. Meta Platforms (Facebook) has a market cap of about $1.447 trillion, ranking 12th; Tesla has a market cap of about $1.394 trillion, ranking 13th—both of which are ahead of Bitcoin.

2026-04-01 04:30

US tech mega-caps rebound collectively; Meta rises 6.67%, and Nvidia jumps 5.59%

Gate News, April 1, as geopolitical risks between the US and Iran notably cooled and boosted sentiment, the U.S. stock technology “Big Seven” (Meta, Nvidia, Google, Tesla, Amazon, Microsoft, and Apple) all rebounded today. Among them, Meta and Nvidia led the gains, up 6.67% and 5.59%, respectively; Google, Tesla, Amazon, Microsoft, and Apple rose in tandem, between 2.9% and 5.14%. The easing of the geopolitical situation effectively reduced the global risk premium, prompting capital to flow back into high-beta growth assets.

2026-03-28 02:35

The US stock market has evaporated over a trillion this week, falling for five consecutive weeks to a new low. The "seven giants" have collectively lost about 870 billion dollars.

BlockBeats news, on March 28, the S&P 500, Nasdaq, and Dow Jones all fell this week, marking the longest consecutive five-week decline since 2022. The total market capitalization of the seven tech giants shrank by about $870 billion in one week, with the Nasdaq down more than 13% from its peak in October last year. This week, U.S. stocks weakened significantly under multiple negative pressures. By Friday's close, the Dow Jones plunged 793 points in a single day, the S&P 500 fell to a seven-month low, and the Nasdaq further entered a technical correction zone. The average maximum drawdown of the 500 stocks in the S&P 500 has reached 17%, while the average maximum drawdown of Nasdaq stocks is even higher at 31%, indicating that the actual damage is far worse than the index numbers suggest. The tech sector was hit hardest. Meta fell about 12% in one week due to the dual pressure of losing two child safety lawsuits and layoff news; Tesla and Amazon both saw declines of over 3%; Nvidia was dragged down by shrinking expectations for AI capital expenditures, dropping nearly 5%. The total market capitalization of the "seven giants" evaporated by about $870 billion over the week, equivalent to over 6.3 trillion yuan. From a market structure perspective, the breadth and depth of this decline should not be underestimated. Although the main indices fell between 7% and 13%, more than half of the individual stocks have dropped over 20% from their respective peaks, entering a technical bear market.

Hot Posts About Meta Platforms (META)

probably_nothing_anon

probably_nothing_anon

2 hours ago
So looking back at 2023, that was actually a pretty wild year for the stock market if you really think about it. After 2022 got absolutely wrecked, the S&P 500 came roaring back with something like 21% gains through the end of the year. Yeah, most of that happened early on, but still - that's well above the typical 10% annual average we usually see. What really stood out to me was how much the narrative shifted throughout the year. Everyone was freaking about interest rates and inflation at the start, then suddenly the whole market started pricing in rate cuts for early 2024. That single shift changed everything. The Nasdaq went absolutely mental - up around 37% for the year. Even the Dow, which people think of as more stable, was up like 11%. But here's the thing that really dominated 2023 - those mega-cap tech stocks. Apple, Amazon, Nvidia, Meta, Microsoft, Alphabet, Tesla. The so-called Magnificent 7. These seven stocks basically doubled the overall market gains. Nvidia alone was up 220% because of the AI boom. Meta bounced back 172% after getting hammered the year before. It was honestly hard to make money in 2023 if you weren't in tech. Then there was that banking crisis in spring that everyone thought might tank everything. Silvergate, Silicon Valley Bank, Signature Bank, First Republic - all collapsed in just a few weeks. The Fed had to step in with emergency loans and basically guarantee deposits above the normal insurance limits. JPMorgan and some other big banks grabbed the assets. It was messy but they contained it pretty well. The stock market barely blinked after a couple rough weeks. The contrast between winners and losers was pretty brutal though. Solar stocks got destroyed - Solaredge down 72%, Enphase down 62%. Agricultural chemicals tanked too with FMC dropping 56%. Meanwhile cruise lines like Royal Caribbean were up 117% as people finally started traveling again after the pandemic. You had to pick the right sectors. The whole stock market in 2023 basically came down to two big themes - AI and rate expectations. Everyone was piling into anything with AI exposure because it seemed like the next big thing. And the crypto market thawed out too, with Bitcoin up 128% as people started betting on spot Bitcoin ETFs. Even defense stocks got a lift because of all the geopolitical stuff happening. Inflation was the real story though. The Fed had been hiking rates aggressively since March 2022, and by 2023 you could actually see it working. CPI peaked at 9.1% back in June 2022 but dropped to 6.4% by January 2023, then kept falling to 3.2% by October. Still above the Fed's 2% target, but the trend was clearly there. That's why the market kept rallying - investors realized the worst was probably over. Heading into 2024, the consensus was pretty bullish. Analysts were forecasting 11.6% earnings growth for S&P 500 companies, and the average price target was around 5,029, suggesting another 10% gain. People thought interest rates would start coming down, which would help growth stocks and dividend payers. The whole stock market setup looked decent if you believed the Fed was actually done fighting inflation. Looking back now from 2026, 2023 really was the inflection point where everything turned around from the disaster of 2022. The stock market rewarded patience that year.
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BitKE

BitKE

2 hours ago
Meta, the parent company of Facebook and Instagram, some of the leading social media platforms globally, has announced that users will soon be able to create NFT digital collectibles on Instagram and sell them to fans both on and off Instagram as it continues its foray into the NFT space. *“People can easily support their favorite creators by buying their digital collectibles directly on Instagram. We’re testing these new features with a small group of creators in the US first, and hope to expand to more countries soon.”* The NFT support comes through a toolkit that will enable users to create, and showcase their collectibles. Creation is handled on the Polygon blockchain while integration with the Solana blockchain and Phantom wallet are underway. Video collectibles are also expected to be supported soon. NFTs on Instagram will also contain additional metadata such as collection names and descriptions particularly coming from the OpenSea marketplace. Instagram has been testing ways for users to post NFTS on their pages and as profile pictures (PFPs) since May 2022, but this will be the first time that users can create NFTs and collections on the platform. In Africa, Instagram began to test the ability for users to dabble in NFTs in August 2022, announcing support for PFP NFTs hosted on Ethereum, Polygon, and Flow. Meta says it is pursuing NFTs for both Instagram and Facebook based on user feedback where creators said that NFTs help to ‘take control of their work, their relationship with their fans, and how they can monetize.’ Users connect their accounts to a wallet of their choice, upon which they can select any NFT they own that they would want to share on social media. > Once a creator or collector posts a digital collectible, it will have a shimmer effect and can display public information, such as a description of the NFT. Posts will also be visible on their profile. > > On Instagram, both a creator and collector can be tagged onto the NFT. Meta has previously said it aims to improve accessibility, lowering barriers to entry, and increase inclusivity in the NFT space. *Follow us on Twitter for latest posts and updates*
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LightningPacketLoss

LightningPacketLoss

3 hours ago
“Future AI agents may have more intelligence than humans, and humans will live in a world with hundreds of millions, even tens of billions of AI agents.” Meta CEO Mark Zuckerberg predicted this in an interview program this July. A report from Bank of America also pointed out that AI evolution is on the eve of the third wave—intelligent agent artificial intelligence (Agentic AI) is about to arrive. In the second half of this year, AI Agents have been all the rage, becoming a hot area that major tech giants such as Microsoft, Apple, Google, OpenAI, and others are throwing their strength behind. In China’s domestic market, large-model vendors, internet companies, and listed companies are all actively positioning for AI agents. As more and more companies roll out AI Agent products and ecosystems, industry insiders expect 2025 may become the breakout year for AI Agents. In its research report, Galaxy Securities forecasts that by 2028, the size of China’s AI Agent market will surge to RMB 852 billion, with a CAGR of 72.7%. **Vendors kick off the AI agent race** AIAgent—an artificial intelligence agent, also called an “AI intelligent agent”—is a system driven by a large language model as its “brain,” with the ability to autonomously understand, perceive, plan, remember, and use tools, enabling it to automatically execute and complete complex tasks. Unlike traditional artificial intelligence, AI Agents have the ability to gradually achieve a given goal through independent thinking and tool use. For a simple example: if a user wants to go out for a meal, the large language model can provide them with information and suggestions about dining places and specific restaurants. But an AI Agent can do more than just offer restaurant-picking advice—it can also search for cuisines and restaurants based on the user’s budget, execute the reservation, add the itinerary to the calendar, and send itinerary reminders. Since the second half of this year, AI Agents have been highly sought after, and tech giants such as Microsoft, Apple, Google, OpenAI, and Anthropic have all announced related progress. In June, Apple showcased its latest AI achievement Apple Intelligence at its developer conference. In November, Microsoft announced more than 10 commercial AI Agents at the “Microsoft Ignite 2024” conference. Google followed suit, announcing full-scale promotion of commercial AI Agents, rolling out a series of incentive activities and products, and it also specifically released one of the few global markets for commercial AI Agents. OpenAI plans to release a new AI Agent product code-named “Operator” in January 2025. In China’s domestic market, vendors represented by Zhipu have also put major focus on AI Agents, and a race centered on “AI Agents” is quietly underway. On October 25, Zhipu released AutoGLM Agent, which can read voice commands to understand user intent and simulate human behavior to automatically complete tasks such as ordering takeout, booking flights, and hotels. On November 29, Zhipu launched an upgraded version of AutoGLM Agent, which supports autonomous execution of long-step tasks of more than 50 steps and can flexibly switch between different apps while carrying out tasks. Zhipu believes that AI large models are moving from “Chat” to “Act.” In the future, a unified AI intelligent agent will operate various hardware devices to improve the efficiency of human-machine interaction. With increases in computing power, models and terminal-to-cloud collaborative architectures adapted to AI-native devices will gradually emerge. Smart devices such as phones, PCs, cars, glasses, and home devices are quickly coming to market.‌ Besides Zhipu, ByteDance, Baidu, Tencent, Alibaba, and other vendors are also rolling out AIAgent, including ByteDance’s Coze Agent platform, Baidu’s Qianfan AgentBuilder agent development tool, and Kunlun Wanwei’s Tiangong skyAgents. **Multiple listed companies roll out AI Agents** While domestic vendors kick off the AI Agent race, many listed companies in the A-share market are also actively positioning for AI Agents. For example, iFlytek has launched AI assistants for education, healthcare, judicial services, government services, and other fields. Jin Cai Internet’s “Xinzhiyue Tax & Finance Large Model” adopts an open-architecture design, combining the company’s tax and finance products and an open platform to build a tax-and-finance AIAgent intelligent agent. The AI Agent development and operating platform from Zhongke Jincai provides functions such as Agent creation, multi-base model calling, workflow definition, and more. It can automatically route and schedule the most suitable large model based on industry scenario needs to complete Agent creation. The company states that Zhongke Jincai’s AI Agents achieve multi-intent understanding: they can automatically execute multiple tasks based on user instructions or contextual information. After learning user preferences through understanding, they can provide personalized services and achieve highly human-like end-to-end natural-language interaction. Xin Guodu Holding’s subsidiary, Shanghai Shiyi’er District, is devoted to developing General Purpose AI Agent technology and conducting research on multimodal AI technologies and products. Xin Kaipu launched a campus life AI product called “Xiaomei Classmate” in October this year, built on the PanGu large model and the Tongyi Qianwen large model. On December 9, Zhitong responded that when asked by investors whether it has already deployed AI Agents, the company said it has been continuously promoting product and technical development in the area of AI Agents. For example, the company’s Rubik Avatar is an integrated and innovative product that combines various technologies including AI Agents. Including AI technologies such as machine learning, natural language processing, and computer vision, and based on edge-side intelligent technologies and naked-eye 3D technologies, and based on Qualcomm’s high-compute chip platform, using Zhitong’s Kanzi 3D rendering engine for real-time rendering of 3D graphics and images, etc. Nangxing shares recently said in its response to investor questions that its subsidiary Youyi Network is based on frontier AI large-model technology and has engaged in deep cooperation with industry-leading enterprises such as Microsoft to provide efficient and intelligent AIGC application products and solutions for industry customers. Xiaolu is an AIGC-based AI assistant that supports intelligent chatting and knowledge-base Q&A. Cooltech Smart, in its December 17 response to investor questions, said that the target of its Cooltech AI Agents 2.0 version is to become a universal digital intelligence tool and helper, helping traditional enterprises carry out digital-intelligence transformation and upgrade. Currently, the Cooltech AI Agents 2.0 version is under development. **2025**** may usher in a commercial explosion of AI Agents** For AI Agents, industry consensus holds that 2025 will be the breakout year for AI Agents. A research report from Shanxi Securities points out that Agents are expected to be deployed in batches in 2025, driving up demand for computing power, and further expanding investment demand for AI infrastructure. Debon Securities also predicts that by 2025, AI Agents may enter a boom period, and the terminal market will achieve a qualitative leap. As the Agent network gradually takes shape, improvements in market penetration will help build a favorable closed-loop business model for the entire AI ecosystem. “Right now, tech giants such as Apple, Google, and OpenAI have already viewed Agents as one of the key focuses for 2025. 2025 may become the first year when Agents break out, thereby driving AI application deployment.” said Zong Jianshu, an analyst at Yangtze River Securities. In the view of Tang Fangxin, head of government and enterprise business at Wanxing Technology, AI Agent development is in a transition stage from “experiments” to “applications” and has not yet reached maturity. But as computing power continues to improve and machine learning and natural language processing technologies advance, AI Agents’ capabilities in understanding user intent, providing personalized services, and executing complex tasks are continuously improving. At present, AI Agents have already been applied in multiple fields such as customer service, smart home, and personal assistants, and they are expanding into more industries and scenarios. Tang Fangxin believes that AI Agents will continue to evolve, gradually moving from the “usable” stage to the “really helpful” stage. They have already landed in some commercial scenarios—for example, the interactive digital human business launched by Wanxing Technology can, to a large extent, solve the scenes of reception and presentation in exhibition halls, smart demonstrations, speech reporting, and corporate guest welcoming. Using AI digital humans to introduce to audiences and consumers the service content for specific scenarios, and using AI to reinvent traditional interaction methods, it empowers and enhances audience experience. However, Tang Fangxin pointed out that the introduction of AI Agents involves the collection and processing of large amounts of user data. Therefore, safety and privacy issues are crucial and may trigger potential privacy concerns such as data misuse and privacy leakage. In addition, AI Agents must rely on local computing power and large models, which creates high requirements for technical maturity, vendors’ integration and implementation capabilities, and operational and maintenance service capabilities. At present, it is necessary to penetrate from single scenarios into related scenarios, continuously solidify mature paths and solution experience, and at the same time strengthen security and privacy regulation, exploring and embracing it with an open mindset. “From ‘training’ to ‘inference’—AI intelligent agents will be the necessary path to the general artificial intelligence era,” says a research report from Galaxy Securities. As large models iterate and upgrade rapidly, AI intelligent agents built on large-model technology have entered a stage of rapid development. The rise of AI intelligent agents is reshaping the AI industry chain and bringing new investment opportunities. It is expected that by 2028, the market size of China’s AI agent sector will surge to RMB 852 billion, with a CAGR of 72.7%. The AI intelligent agent industry chain is a diversified, highly coordinated ecosystem, and the future market space is broad.
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