{"data":{"ticker":"GOOGL","slug":"alphabet","name":"Alphabet","exchange":"NASDAQ","sector":"Communication Services","headquarters":"Mountain View, California","ceo":"Sundar Pichai","employees":204757,"website":"https://abc.xyz","founded":"1998","layers":[{"slug":"cloud-infrastructure","name":"Cloud & Hyperscalers"},{"slug":"ai-software","name":"AI Software & Platforms"},{"slug":"foundation-models","name":"Foundation Models"}],"exposure":{"score":70,"tier":"Core","rationale":"Monetizes AI through Google Cloud, Gemini models, and custom TPUs, while AI powers its core search and advertising products. The thesis hinges on AI expanding cloud share and defending search economics, with a huge ad business behind it."},"quote":{"price":284.78,"change24hPct":0.78,"change7dPct":1.77,"change30dPct":-18.23,"change1yPct":2.4,"high52w":402.12,"low52w":273.16,"marketCap":3501085163520,"peRatio":14.87,"eps":19.15,"volume24h":10316720218},"nextEarningsDate":"2026-10-28","summary":"Alphabet is the parent company of Google. It makes most of its money from advertising on search and other Google products, with a growing cloud business selling computing and AI services to enterprises.","explainer":["Alphabet is the parent company of Google. It makes most of its money from advertising on search and other Google products, with a growing cloud business selling computing and AI services to enterprises.","Its AI stack runs deep. The Gemini family of foundation models powers products across the company, DeepMind leads its research, Google Cloud AI and Vertex AI sell model access and tooling to businesses, and custom Tensor Processing Units give it in-house AI chips instead of relying only on outside suppliers.","Founded in 1998 and headquartered in Mountain View, California, Alphabet trades on the NASDAQ and employs roughly 199,000 people."],"buildoutRole":"Alphabet spans three layers of the AI buildout: Cloud & Hyperscalers, AI Software & Platforms, and Foundation Models. It trains frontier models with Gemini and DeepMind, runs them on its own TPU chips, and sells AI capacity and tooling through Google Cloud and Vertex AI. AI also defends and powers its core search and advertising franchise. The thesis hinges on AI expanding its cloud share while protecting search economics, with one of the world's largest ad businesses funding the effort.","faq":[{"q":"What does Alphabet do?","a":"Alphabet is Google's parent company. It earns most of its money from search and advertising, sells cloud computing and AI services through Google Cloud, and develops frontier AI through DeepMind and its Gemini models."},{"q":"How is Alphabet exposed to AI?","a":"Broadly. It builds Gemini foundation models, sells AI through Google Cloud and Vertex AI, designs its own TPU chips, and uses AI across search and ads. Supercycle rates it an AI Exposure Score of 70 out of 100."},{"q":"What are Alphabet's main AI products?","a":"The Gemini model family, Google Cloud AI services, DeepMind research, Vertex AI for enterprise model building, and custom Tensor Processing Units that power its AI infrastructure."},{"q":"Is GOOGL a pure play AI stock?","a":"No. Advertising remains the core of the business, but AI runs through nearly everything Alphabet does, from models and chips to cloud services. Its AI Exposure Score of 70 out of 100 reflects that deep but not exclusive exposure."},{"q":"Where is Alphabet based and who leads it?","a":"Alphabet is headquartered in Mountain View, California, and is led by CEO Sundar Pichai. It was founded in 1998 and employs roughly 199,000 people."}],"history1y":[{"date":"2026-09-28","close":342.75},{"date":"2026-09-29","close":340.92},{"date":"2026-09-30","close":344.08},{"date":"2026-10-01","close":338.24},{"date":"2026-10-02","close":343.5},{"date":"2026-10-05","close":346.47},{"date":"2026-10-06","close":347.68},{"date":"2026-10-07","close":350.5},{"date":"2026-10-08","close":348.29},{"date":"2026-10-09","close":351.66},{"date":"2026-10-12","close":352.72},{"date":"2026-10-13","close":353.78},{"date":"2026-10-14","close":347.64},{"date":"2026-10-15","close":349.22},{"date":"2026-10-16","close":340.59},{"date":"2026-10-19","close":344.18},{"date":"2026-10-20","close":340.28},{"date":"2026-10-21","close":334.76},{"date":"2026-10-22","close":324.22},{"date":"2026-10-23","close":320.21},{"date":"2026-10-26","close":316.8},{"date":"2026-10-27","close":320.58},{"date":"2026-10-28","close":324.89},{"date":"2026-10-29","close":283.82},{"date":"2026-10-30","close":279.84},{"date":"2026-11-02","close":278.99},{"date":"2026-11-03","close":280.03},{"date":"2026-11-04","close":288.93},{"date":"2026-11-05","close":282.57},{"date":"2026-11-06","close":284.78}],"incomeStatements":[{"ticker":"GOOGL","report_period":"2025-12-31","fiscal_period":"2025-FY","period":"annual","currency":"USD","revenue":402836000000,"cost_of_revenue":162535000000,"gross_profit":240301000000,"operating_expense":0,"operating_income":129039000000,"net_income":132170000000,"earnings_per_share":10.81,"earnings_per_share_diluted":10.81,"research_and_development":61087000000,"selling_general_and_administrative_expenses":50175000000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0},{"ticker":"GOOGL","report_period":"2024-12-31","fiscal_period":"2024-FY","period":"annual","currency":"USD","revenue":350018000000,"cost_of_revenue":146306000000,"gross_profit":203712000000,"operating_expense":0,"operating_income":112390000000,"net_income":100118000000,"earnings_per_share":8.04,"earnings_per_share_diluted":8.04,"research_and_development":49326000000,"selling_general_and_administrative_expenses":41996000000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0},{"ticker":"GOOGL","report_period":"2023-12-31","fiscal_period":"2023-FY","period":"annual","currency":"USD","revenue":307394000000,"cost_of_revenue":133332000000,"gross_profit":174062000000,"operating_expense":0,"operating_income":84293000000,"net_income":73795000000,"earnings_per_share":5.8,"earnings_per_share_diluted":5.8,"research_and_development":45427000000,"selling_general_and_administrative_expenses":44342000000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0},{"ticker":"GOOGL","report_period":"2022-12-31","fiscal_period":"2022-FY","period":"annual","currency":"USD","revenue":282836000000,"cost_of_revenue":126203000000,"gross_profit":156633000000,"operating_expense":0,"operating_income":74842000000,"net_income":59972000000,"earnings_per_share":4.56,"earnings_per_share_diluted":4.56,"research_and_development":39500000000,"selling_general_and_administrative_expenses":42291000000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0}],"balanceSheets":[{"ticker":"GOOGL","report_period":"2025-12-31","fiscal_period":"2025-FY","period":"annual","currency":"USD","total_assets":595281000000,"current_assets":206038000000,"cash_and_equivalents":30708000000,"total_liabilities":0,"current_liabilities":102745000000,"total_debt":59291000000,"shareholders_equity":415265000000,"retained_earnings":324055000000},{"ticker":"GOOGL","report_period":"2024-12-31","fiscal_period":"2024-FY","period":"annual","currency":"USD","total_assets":450256000000,"current_assets":163711000000,"cash_and_equivalents":23466000000,"total_liabilities":0,"current_liabilities":89122000000,"total_debt":22574000000,"shareholders_equity":325084000000,"retained_earnings":245084000000},{"ticker":"GOOGL","report_period":"2023-12-31","fiscal_period":"2023-FY","period":"annual","currency":"USD","total_assets":402392000000,"current_assets":171530000000,"cash_and_equivalents":24048000000,"total_liabilities":0,"current_liabilities":81814000000,"total_debt":27121000000,"shareholders_equity":283379000000,"retained_earnings":211247000000},{"ticker":"GOOGL","report_period":"2022-12-31","fiscal_period":"2022-FY","period":"annual","currency":"USD","total_assets":365264000000,"current_assets":164795000000,"cash_and_equivalents":21879000000,"total_liabilities":0,"current_liabilities":69300000000,"total_debt":29679000000,"shareholders_equity":256144000000,"retained_earnings":195563000000}],"holders13f":[{"slug":"warren-buffett","personName":"Warren 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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/GOOGL","html":"https://supercyclehq.com/stock/alphabet","md":"https://supercyclehq.com/stock/alphabet.md","docs":"https://supercyclehq.com/api/v1/openapi.json"}}