{"data":{"ticker":"META","slug":"meta-platforms","name":"Meta Platforms","exchange":"NASDAQ","sector":"Communication Services","headquarters":"Menlo Park, California","ceo":"Mark Elliot Zuckerberg","employees":66775,"website":"https://www.meta.com","founded":"2004","layers":[{"slug":"foundation-models","name":"Foundation Models"},{"slug":"ai-saas","name":"AI Applications"}],"exposure":{"score":60,"tier":"Strategic","rationale":"Spends heavily on GPUs and data centers to power AI ad targeting, recommendations, and open Llama models, monetized almost entirely through advertising. The thesis hinges on AI improving ad yield and engagement rather than direct AI product sales."},"quote":{"price":610.15,"change24hPct":0.84,"change7dPct":-0.79,"change30dPct":-15.36,"change1yPct":-1.53,"high52w":777.59,"low52w":524.82,"marketCap":1560051712000,"peRatio":20.82,"eps":29.31,"volume24h":9553401049},"nextEarningsDate":"2027-01-27","summary":"Meta Platforms runs the world's largest family of social apps and makes nearly all of its money from advertising. AI decides what content users see and which ads they are shown, so improvements in its models flow directly into engagement and ad revenue.","explainer":["Meta Platforms runs the world's largest family of social apps and makes nearly all of its money from advertising. AI decides what content users see and which ads they are shown, so improvements in its models flow directly into engagement and ad revenue.","Meta is also one of the biggest builders in AI. It develops the open Llama model family, ships the Meta AI assistant across its apps, created PyTorch, the framework much of the AI world builds on, and sells Advantage+ AI Ads that automate campaign creation for advertisers, alongside AI-powered Reels recommendations.","Founded in 2004 and headquartered in Menlo Park, California, Meta trades on the NASDAQ and employs about 75,500 people under CEO Mark Zuckerberg."],"buildoutRole":"Meta spans the Foundation Models and AI Applications layers. It trains frontier open models, spends heavily on GPUs and data centers, and applies AI across ad targeting and recommendations. What separates it from pure plays is monetization: nearly all of that AI investment is cashed in through advertising rather than sold as AI products. The thesis hinges on AI improving ad yield and engagement, and Supercycle scores it 60 out of 100.","faq":[{"q":"What does Meta Platforms do?","a":"Meta runs Facebook, Instagram, and its other social apps, earning nearly all revenue from advertising. AI drives its content feeds, ad targeting, and a growing family of open models."},{"q":"How is Meta exposed to AI?","a":"Deeply, through advertising. Heavy GPU and data center spending powers AI ad targeting, recommendations, and the Llama models, monetized almost entirely via ads. Supercycle scores it 60 out of 100."},{"q":"What are Meta's main AI products?","a":"The Llama open model family, the Meta AI assistant, PyTorch, AI-powered Reels recommendations, and Advantage+ AI Ads for automated advertiser campaigns."},{"q":"What is Llama?","a":"Llama is Meta's family of open AI models. Meta releases them openly for developers and enterprises to build on, extending its influence across the AI ecosystem beyond its own apps."},{"q":"Where is Meta headquartered and who leads it?","a":"Meta is headquartered in Menlo Park, California, was founded in 2004, and is led by founder and CEO Mark Zuckerberg. It employs about 75,500 people and trades on the NASDAQ."},{"q":"Is META a pure play AI stock?","a":"No. Meta invests at pure play scale but monetizes AI through advertising rather than selling AI itself. Its score of 60 out of 100 reflects that indirect but substantial exposure."}],"history1y":[{"date":"2026-09-28","close":715.62},{"date":"2026-09-29","close":738.79},{"date":"2026-09-30","close":725.18},{"date":"2026-10-01","close":725.93},{"date":"2026-10-02","close":728.08},{"date":"2026-10-05","close":741.9},{"date":"2026-10-06","close":738.88},{"date":"2026-10-07","close":721.31},{"date":"2026-10-08","close":720.89},{"date":"2026-10-09","close":718.67},{"date":"2026-10-12","close":742.96},{"date":"2026-10-13","close":762.5},{"date":"2026-10-14","close":737.54},{"date":"2026-10-15","close":736.72},{"date":"2026-10-16","close":709.33},{"date":"2026-10-19","close":705.44},{"date":"2026-10-20","close":694.25},{"date":"2026-10-21","close":697.52},{"date":"2026-10-22","close":648.85},{"date":"2026-10-23","close":642.62},{"date":"2026-10-26","close":630.56},{"date":"2026-10-27","close":620.19},{"date":"2026-10-28","close":612.49},{"date":"2026-10-29","close":624.52},{"date":"2026-10-30","close":614.99},{"date":"2026-11-02","close":606.73},{"date":"2026-11-03","close":621.03},{"date":"2026-11-04","close":630},{"date":"2026-11-05","close":605.08},{"date":"2026-11-06","close":610.15}],"incomeStatements":[{"ticker":"META","report_period":"2025-12-31","fiscal_period":"2025-FY","period":"annual","currency":"USD","revenue":200966000000,"cost_of_revenue":36175000000,"gross_profit":164791000000,"operating_expense":0,"operating_income":83276000000,"net_income":60458000000,"earnings_per_share":23.49,"earnings_per_share_diluted":23.49,"research_and_development":57372000000,"selling_general_and_administrative_expenses":24143000000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0},{"ticker":"META","report_period":"2024-12-31","fiscal_period":"2024-FY","period":"annual","currency":"USD","revenue":164501000000,"cost_of_revenue":30161000000,"gross_profit":134340000000,"operating_expense":0,"operating_income":69380000000,"net_income":62360000000,"earnings_per_share":23.86,"earnings_per_share_diluted":23.86,"research_and_development":43873000000,"selling_general_and_administrative_expenses":21087000000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0},{"ticker":"META","report_period":"2023-12-31","fiscal_period":"2023-FY","period":"annual","currency":"USD","revenue":134902000000,"cost_of_revenue":25959000000,"gross_profit":108943000000,"operating_expense":0,"operating_income":46751000000,"net_income":39098000000,"earnings_per_share":14.87,"earnings_per_share_diluted":14.87,"research_and_development":38483000000,"selling_general_and_administrative_expenses":23709000000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0},{"ticker":"META","report_period":"2022-12-31","fiscal_period":"2022-FY","period":"annual","currency":"USD","revenue":116609000000,"cost_of_revenue":25249000000,"gross_profit":91360000000,"operating_expense":0,"operating_income":28944000000,"net_income":23200000000,"earnings_per_share":8.59,"earnings_per_share_diluted":8.59,"research_and_development":35338000000,"selling_general_and_administrative_expenses":27078000000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0}],"balanceSheets":[{"ticker":"META","report_period":"2025-12-31","fiscal_period":"2025-FY","period":"annual","currency":"USD","total_assets":366021000000,"current_assets":108722000000,"cash_and_equivalents":35873000000,"total_liabilities":148778000000,"current_liabilities":41836000000,"total_debt":83897000000,"shareholders_equity":217243000000,"retained_earnings":121179000000},{"ticker":"META","report_period":"2024-12-31","fiscal_period":"2024-FY","period":"annual","currency":"USD","total_assets":276054000000,"current_assets":100045000000,"cash_and_equivalents":43889000000,"total_liabilities":93417000000,"current_liabilities":33596000000,"total_debt":49060000000,"shareholders_equity":182637000000,"retained_earnings":102506000000},{"ticker":"META","report_period":"2023-12-31","fiscal_period":"2023-FY","period":"annual","currency":"USD","total_assets":229623000000,"current_assets":85365000000,"cash_and_equivalents":41862000000,"total_liabilities":76455000000,"current_liabilities":31960000000,"total_debt":37234000000,"shareholders_equity":153168000000,"retained_earnings":82070000000},{"ticker":"META","report_period":"2022-12-31","fiscal_period":"2022-FY","period":"annual","currency":"USD","total_assets":185727000000,"current_assets":59549000000,"cash_and_equivalents":14681000000,"total_liabilities":60014000000,"current_liabilities":27026000000,"total_debt":26591000000,"shareholders_equity":125713000000,"retained_earnings":64799000000}],"holders13f":[{"slug":"chase-coleman","personName":"Chase 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Costs”","source":null,"url":"https://www.tikr.com/blog/microsoft-and-google-face-a-new-bill-as-data-centers-have-to-pay-their-own-costs?ref=yahoofinance&tlnk=yf-261106-5qc3f788&.tsrc=rss","date":"2026-11-06"},{"title":"Bill Ackman Bought Meta “at a Huge Discount.” He Says Analysts Are Missing Its Growth","source":null,"url":"https://www.tikr.com/blog/bill-ackman-bought-meta-at-a-huge-discount-he-says-analysts-are-missing-its-growth?ref=yahoofinance&tlnk=yf-261106-jqwqvqqq&.tsrc=rss","date":"2026-11-06"},{"title":"Not Alphabet. Not Meta. This Is the Digital Advertising Stock I'd Buy Right Now.","source":null,"url":"https://www.fool.com/investing/2026/11/06/not-alphabet-not-meta-this-is-the-digital-ad-stock/?.tsrc=rss","date":"2026-11-06"},{"title":"If Meta Reaches $700, Your $1,000 Investment Would Be Worth This Much","source":null,"url":"https://247wallst.com/investing/2026/11/06/if-meta-reaches-700-your-1000-investment-would-be-worth-this-much/?.tsrc=rss","date":"2026-11-06"},{"title":"Apple, Meta, Musk Face New Threat From Democrats","source":null,"url":"https://finance.yahoo.com/technology/articles/apple-meta-musk-face-threat-172226280.html?.tsrc=rss","date":"2026-11-06"},{"title":"Meta (META) Stock May Be A Bargain After Huge AI Fundraising","source":null,"url":"https://finance.yahoo.com/markets/stocks/articles/meta-meta-stock-may-bargain-161228184.html?.tsrc=rss","date":"2026-11-06"},{"title":"Rethinking Meta Following The Blue Wave and It Isn’t Just Lawsuits","source":null,"url":"https://247wallst.com/investing/2026/11/06/rethinking-meta-following-the-blue-wave-and-it-isnt-just-lawsuits/?.tsrc=rss","date":"2026-11-06"}]},"meta":{"version":"v1","asOf":"2026-11-06","builtAt":"2026-11-08T15:24:45.395Z","tier":"free","source":"https://supercyclehq.com/stock/meta-platforms","disclaimer":"Informational only, not investment advice. The AI Exposure Score is Supercycle's editorial opinion. Agent portfolios are simulated paper portfolios run by AI.","license":"Free to use and quote with attribution to supercyclehq.com. Do not redistribute as a dataset."},"links":{"self":"https://supercyclehq.com/api/v1/stocks/META","html":"https://supercyclehq.com/stock/meta-platforms","md":"https://supercyclehq.com/stock/meta-platforms.md","docs":"https://supercyclehq.com/api/v1/openapi.json"}}