Meta Platforms (META) Stock Price Today—Real Time Charts and Quotes

Q: What's the stock price of Meta Platforms (META) today?

Meta Platforms (META) is currently trading at $596.7, with a 24h change of +4.21%. The 52-week trading range is $520–$796.25.

Q: What are the 52-week high and low prices for Meta Platforms (META)?

META has a 52-week high of $796.25 and a 52-week low of $520, with the current price at $596.7.

Q: What is the price-to-earnings (P/E) ratio of Meta Platforms (META)? What does it indicate?

The current P/E ratio (TTM) of META is 27.524676469615272, 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 Internet Content & Information industry for a better context.

Q: What is the market cap of Meta Platforms (META)?

Meta Platforms (META) currently has a market cap of approximately $1.44T.

Q: What is the most recent quarterly earnings per share (EPS) for Meta Platforms (META)?

Meta Platforms (META)'s diluted earnings per share (Diluted EPS) is 23.981753272510907. EPS = Net Income / Total Diluted Shares, which is a key metric for measuring a company's profitability.

Q: Should you buy or sell Meta Platforms (META) now?

As of now, META is trading at $596.7, with a P/E ratio of 27.524676469615272 and a diluted EPS of 23.981753272510907. Your buy or sell decisions should be based on your investment goals and risk tolerance. We recommend making an overall judgment by considering Meta Platforms's financial reports, the outlook of the Internet Content & Information sector, and your own holdings. Investing involves risk—please make decisions prudently.

Q: What factors can affect the stock price of Meta Platforms (META)?

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

Q: How to buy Meta Platforms (META) stock?

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

$596,70

+$24,18(+%4,22)

*Data last updated: 2026-04-08 01:16 (UTC+8)

As of 2026-04-08 01:16, 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)

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Blogs

Tech Giants Make Their Move Again: Meta Acquires Moltbook, MOLT Soars 258% in 24 Hours — In-Depth Analysis

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2026-03-12

Meta Revives Its Stablecoin Initiative: An In-Depth Analysis of Meta’s 2026 Crypto Strategy

Meta plans to relaunch stablecoin payments in the second half of 2026. This article takes an in-depth look at the timeline and key reasons behind the failure of Libra/Diem, and explores how this shift could impact Circle and the broader stablecoin sector across multiple scenarios.

2026-02-26

Stripe, Google, and Meta: How Tech Giants Are Reshaping the Global Stablecoin Payments Landscape

Stripe, Google, and Meta—three leading tech giants—are entering the market through distinctly different approaches, collectively reshaping the future landscape of global stablecoin payments.

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Meta Platforms (META) FAQ

What's the stock price of Meta Platforms (META) today?

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.

What are the 52-week high and low prices for Meta Platforms (META)?

What is the price-to-earnings (P/E) ratio of Meta Platforms (META)? What does it indicate?

What is the market cap of Meta Platforms (META)?

What is the most recent quarterly earnings per share (EPS) for Meta Platforms (META)?

Should you buy or sell Meta Platforms (META) now?

What factors can affect the stock price of Meta Platforms (META)?

How to buy Meta Platforms (META) 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

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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)

LiquidationKing

15 minutes ago

Recently, I've been pondering a question: what is the most worthwhile investment direction in this era? My answer is AI, and I’ve noticed three stocks that are particularly worth paying attention to. First, let's talk about Meta. The company's investment in AI is truly incredible, with capital expenditures last year exceeding $10 billion. Why so aggressive? Because they see the huge potential of AI for advertising business. Their developed AI agents can automatically optimize ad placements on Facebook and Instagram. What does this mean? Small businesses can more easily run ads, and marketing costs actually decrease. As a result, ad revenue grew by 21% in the first nine months of last year. In the long term, generative AI can also help creators produce better content and increase user engagement. Although large-scale capital spending may temporarily suppress profits, Meta’s long-term growth prospects are quite clear. The current valuation is about 23 times forward P/E, which is not expensive for one of the best AI stocks. The story of Salesforce is even more interesting. Their launched product, Agentforce, is changing the way enterprise software works. What is it? It’s a platform used to develop AI agents to automate business processes. Last year, this product’s annual recurring revenue grew by 330%. Although the base is still small, the growth rate is truly crazy. More importantly, customers using Agentforce are increasing their spending on Salesforce by 200% to 300%. Management has already seen multiple cases where customer spending doubles directly. What does this mean? Salesforce can not only increase the value of existing customers but also open a completely new revenue engine. They project that by 2030, revenue could reach $60 billion with an operating profit margin of around 40%. Compared to the current $41 billion and 34% profit margin, there’s still significant room for growth. The current stock price is only about 19 times forward P/E, making it a pretty attractive entry point for one of the best AI stocks. Finally, TSMC. Honestly, this company is the biggest beneficiary of exploding demand for AI chips. Their manufacturing process is leading globally, and no other foundry can keep up with the demand for high-end GPUs and AI accelerators. Last year, sales grew by 35.9%, gross margin reached 59.9%, and market share hit 72%. Even more impressive, they started raising prices for advanced process chips this year and plan to continue doing so until 2029. These high-end chips account for about 75% of their revenue. In terms of capital expenditure, they plan to invest between $52 billion and $56 billion this year, a 31% increase from last year’s $40.9 billion. What’s behind this? Their confidence in a 25% compound growth rate over the next five years. TSMC has always been conservative and doesn’t waste money recklessly. Such large-scale investment indicates they see real demand. The current valuation of about 23 times forward P/E remains attractive for one of the best AI stocks. Honestly, these three companies have all found their place in the AI wave. Meta at the application layer, Salesforce at the enterprise layer, and TSMC at the infrastructure layer form a complete AI industry chain. If you’re wondering what the best AI stocks to buy are, these three directions are worth deep research. Recently, I’ve also been following related assets on Gate. If you’re interested, you can check them out yourself.

LightningPacketLoss

1 hours ago

With the rapid development of large-model technology, and the compelling performance of Meta Ray-Ban smart glasses’ massive shipments, 2024 saw AI glasses spark a new wave of smart eyewear. As a new blue-ocean market in the wearable space, AI glasses have drawn major bets from tech giants such as Apple, Samsung, and Amazon. On the domestic front, manufacturers including Huawei and Meizu have also moved to roll out AI glasses. Recently, Baidu released native AI glasses powered by a Chinese language large model—Xiaodu AI Glasses—adding another boost to this hot AI glasses track. With the AI glasses craze surging, listed companies across the industry are also eager and ready to seize the initiative in this opportunity. In the capital markets, the AI glasses concept has attracted significant attention. Since the end of September, shares tied to the AI glasses concept have been rising for three consecutive months. Recently, AI glasses concept stocks have been active; multiple stocks such as Zhuyi Technology have hit daily trading limits. Despite the heat in the sector, the AI glasses industry may still be on the verge of an explosion. A research report by Western Securities noted that 2025 is expected to become the breakout year for AI glasses. According to wellsennXR data and forecasts, starting in 2025, AI smart glasses will quickly penetrate traditional glasses amid a backdrop of stable growth in traditional eyewear sales. By 2035, the sales volume of AI smart glasses is expected to reach 1.4 billion pairs. **New products from many manufacturers roll out one after another, and the “Hundred Glasses Battle” begins** The earliest AI glasses can be traced back to 2012, when Google launched Google Glass. However, because it failed to achieve the anticipated market performance, Google ultimately suspended sales of the consumer version of Google Glass in 2015. After that, in September 2021, Meta and Ray-Ban collaborated to launch the first-generation smart glasses Ray-Ban Stories. As of February 2023, only about 300k units had been sold. In September 2023, Meta and Ray-Ban’s second-generation product, Meta Ray-Ban, was launched. Weighing under 50g, it had a starting price of $299. After its release, it became a major hit product, especially after it added AI features in April 2024, when sales surged rapidly. According to IDC data, in Q4 2023 and Q1 2024, Meta Ray-Ban shipments reached 360k units and 100k units, respectively. As of Q2 2024, shipments of the product had already exceeded 1 million units. Meta Ray-Ban’s booming performance has fully ignited market enthusiasm for AI glasses, and domestic manufacturers quickly followed suit. In May this year, Huawei held its Huawei Summer Full-Scenario New Product Launch Conference and officially released the Huawei Smart Glasses 2 Frame Sunglasses, priced at RMB 2,299. The product is equipped with Huawei HarmonyOS 4, and has already been connected to Huawei Pangu AI large model. In August, Hive Tech launched Jiehuan AI audio glasses. In September, Starry Meizu released “StarV Air2,” an AI+AR smart glasses model focused on tech-fashion styling. The embedded AI system can provide real-time translation, voice recognition, and smart assistant functions. Since November, domestic manufacturers have even more densely released news related to AI glasses, showing how intense the “battle” is. First, at Baidu World 2024, Baidu released native AI glasses powered by a Chinese language large model—Xiaodu AI Glasses—which include first-person-view recording, asking while walking, object recognition encyclopedia, audio-visual translation, and smart reminders. They are expected to launch in the first half of 2025. Next, on November 16, Looktech Technology released Looktech AI smart glasses. On November 18, Rokid launched the AI+AR glasses RokidGlasses, integrating the algorithm capability of Alibaba’s Tongyi Qianwen large model. On November 20,闪极科技 announced that it had completed tens of millions of RMB in Series A financing, and previewed that on December 19 it will jointly launch the first domestic mass-produced AI capture glasses with LOHO and iFLYTEK. Worth noting is that, according to Veshin Information (Wellsenn XR) news, Samsung Electronics also finalized an AI smart glasses project plan in early November, powered by Google Gemini large model, with the product planned to launch in the third quarter of 2025. **AI glasses concept stays hot, and listed companies in the industry rush to grab the opportunity** Smartphone makers and internet tech giants flooding into the AI glasses space have pushed the popularity of AI glasses to a new high, and listed companies across the industry are also eager to seize the initiative in this window. Judging from the components of AI glasses, the display lenses are undoubtedly an important part. This segment involves several major industries such as optics, display, and chips. Among listed companies, companies such as Crystal Optoelectronics and Sunny Optical Technology Group can provide key optical components for AI glasses, such as lenses and optical waveguides. SoC chips from companies such as Montage Technology and Rockchip Technology can provide AI glasses with computing and processing capabilities. Leyard stated on an investor interaction platform that its optical motion capture technology can be used for accuracy verification and evaluation of AI glasses positioning, 4D gesture tracking, and more. It has already provided products for multiple AR/VR glasses manufacturers at home and abroad. In the sensor sector, Will Semiconductor disclosed that its image sensor products have advantages in small size and low power consumption, and are highly aligned with the needs of end customers for AR and VR, including devices such as AI glasses. In addition, its LCOS products, with features such as high resolution, compact form factor, low power consumption, and low cost, will provide additional support for new emerging markets such as AR and VR, including AI glasses, in terms of economic adaptability and feasibility of solutions. GoerTek, Luxshare Precision, Huaqing Technology, and others, relying on their strong capabilities in complete-device assembly, have become important manufacturers of smart glasses. Among traditional eyewear manufacturers,博士眼镜 started laying out the smart glasses segment in 2022. It has already established cooperation with industry AI glasses brands (such as Raybird Innovation, ROKID, and Meizu), providing lens fitting and sales channels for smart glasses. In August this year,博士眼镜 and Raybird Innovation jointly collaborated to set up a joint venture company with shared investment. According to Raybird Innovation, the two sides will jointly carry out R&D design, sales, marketing, and services for the next generation of AI glasses. The first AI glasses are expected to be released by the end of 2024. Recently, multiple listed companies have rushed to disclose their latest plans in the AI glasses field. Jingwang Electronics said that its products such as HDI/Anylayer, rigid-flex boards, flex boards, and boards resembling carrier boards can be applied to AI smart glasses. The company closely monitors the trend of device intelligence, actively participates in discussions and pre-research on related solutions, and prepares for further expansion of product categories. Unimicron Technology introduced that AI glasses have high requirements for being lightweight, compact, and easy to assemble with non-standard external forms. SiP module technology can meet these needs and offers advantages. The company’s SiP module products are already used in customers’ similar products. At the same time, its wireless communication SiP module products can be applied to AI smart glasses, and production will start in 2025. Tianjian Shares said recently that the company has a technical reserve including open-ear audio technology and spatial audio technology, and has production capabilities for acoustic-optical-electronic products such as various headphones and smart glasses. The company continuously tracks the development and application of artificial intelligence technologies, and will plan and deploy related business based on market demand, its own business, and technology development needs. Due to requirements for business confidentiality, it is not convenient to respond to AI glasses contract manufacturing and potential customer information. “The company has already signed cooperation agreements with multiple domestic and international brand eyewear customers in the AI glasses category. At present, the company’s AI glasses products are still in the sample and optimization development stage and have not reached mass production. Related markets are also in the early stage of industry development; consumer habits need to be cultivated, and there are still uncertainties in market expansion.” 亿道信息 said. On November 25, Yujing Technology stated on an investor interaction platform that it is actively carrying out pre-research for AI glasses-related products. On November 26, Xingchen Technology said on an interactive platform that it has invested R&D resources in AI glasses chips, is currently engaging with some customers, and plans to have products launched in 2025. The company’s low-power technologies accumulated in security and surveillance and off-grid, off-electrical outdoor scenarios, industry-leading ISP visual effects, and advanced process SOC capabilities will all be applied to AI glasses. As companies from various sides enter the field and “add fuel to the fire,” AI glasses concept stocks have been igniting multiple times in the secondary market this year. In mid-August, AI glasses concept stocks triggered a surge to the daily limit; multiple stocks hit strong limit-up positions.博士眼镜 repeatedly closed at four consecutive “20CM” daily limit-up moves from August 13 to August 16, with a total rise of more than 107% over four trading days. On August 16, 亚世光电 closed with four consecutive daily limit-up boards. Starting at the end of September, AI glasses concept stocks have continued rising for three consecutive months. Among the 68 AI glasses concept stocks on Eastmoney, 65 saw their prices rise. Recently, AI glasses concept stocks have continued to rally. On November 28, Zhuyi Technology saw a straight-line limit-up intraday and closed up 5.28%. Zhongke Lanjun closed up more than 10%, and Mingyue Lenses closed up more than 6%.博士眼镜, 亿道信息, Juxin Technology, 恒玄科技, and others also followed the rise. **2025 is expected to become the breakout year for AI glasses** Although a number of manufacturers are tightening their layout for AI glasses, the AI glasses industry may still be on the verge of a breakout. The industry generally believes that 2025 could become the breakout year for AI glasses. A research report by Bank of China Securities suggested that the manufacturers entering AI glasses in the near term have strong capabilities in defining both hardware and software, and also possess the central ecosystem of smart phones. Their entry will accelerate the industry trend of AI glasses. On one hand, it could better refine AI glasses application scenarios and hardware design; on the other hand, it will better expand interaction experiences between eyewear and mature application ecosystems (such as smart agent calls to APPs), enhancing the practicality of AI glasses. AI glasses could become a new type of hardware terminal from “0 to 1.” At this point, 2025 may be the time node for major releases of AI glasses products from various players. “The AI glasses are still in the early stages of development, but industry heat is increasing and the room for vision is large.” the research report by Bank of China Securities also noted. “Tech giants are actively laying out, and 2025 is expected to become the breakout year for AI glasses.” Western Securities’ research report believes that with interactive multimodal large models, the interaction mode of AI glasses will shift from “providing hardware services to users” to “providing large-model services to users.” Interactive multimodal large models can understand multiple input modalities such as speech and images, helping eyewear products achieve more efficient and concise human-computer interaction, thereby increasing user acceptance. From the supply chain perspective, a research report by Everbright Securities stated that, because current AI smart glasses do not yet require displays, by removing upstream AR optical displays and optical segments, upstream technologies in the supply chain are mature, and each segment of China’s supply chain is very mature and well developed. AI glasses may enter a moment where they break beyond niche adoption. According to wellsenn XR data and forecasts, global eyeglass sales in 2023 were about 1.56 billion pairs. After 10 years, global eyeglass sales are expected to reach around 2 billion pairs. Starting in 2025, AI smart glasses will quickly penetrate traditional eyewear amid a backdrop of stable growth in traditional eyewear sales. By 2029, annual sales of AI smart glasses are expected to reach 55 million pairs. By 2035, AI smart glasses sales are expected to reach 1.4 billion pairs. However, in Zhongguancun Online’s intelligent PC and hardware analyst Yin Hang’s view, the development of the AI glasses industry also faces considerable challenges. “On the technical side, as AI applications deepen, requirements for chip performance are getting higher. The addition of real-time computing and cloud AI computing also makes battery life a new challenge. In terms of comfort, although AI glasses compared with head-mounted displays have greatly improved comfort, there is still room for further improvement.” Yin Hang believes that looking ahead, the long-term development of the AI glasses industry will depend on technological progress and innovation capability. Among them, large models play a crucial role. Large models are the underlying driving force that promotes development in AI glasses’ sub-sectors. Their diversification and optimization for hardware directly affect the AI glasses application ecosystem and user experience. In the future, AI glasses will not only need strong local computing power, but also must be able to be compatible with and support multiple devices to realize a diversified development path.

K-LinePoet

3 hours ago

Meta has launched a new Meta AI-driven feature in Facebook Marketplace.

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