{"data":{"ticker":"AMBQ","slug":"ambiq-micro","name":"Ambiq Micro","exchange":"NYSE","sector":"Technology","headquarters":"Austin, Texas","ceo":"Fumihide Esaka","employees":200,"website":"https://ambiq.com","founded":"2010","layers":[{"slug":"semiconductors","name":"Semiconductors"}],"exposure":{"score":90,"tier":"Pure Play","rationale":"Ambiq designs ultra-low-power Apollo SoCs that run AI inference on wearables and IoT devices at the network edge. The company is a pure play on on-device AI adoption, so the thesis hinges on edge inference spreading across battery-powered hardware."},"quote":{"price":43.31,"change24hPct":-9.34,"change7dPct":-15.18,"change30dPct":-36.48,"change1yPct":47.87,"high52w":90.48,"low52w":22.76,"marketCap":1047432256,"peRatio":null,"eps":-0.38,"volume24h":24327227},"nextEarningsDate":"2026-11-10","summary":"Ambiq Micro designs ultra-low-power chips that run AI on small battery-powered devices. It makes money selling its Apollo systems-on-chip to makers of wearables and IoT hardware, where power efficiency decides what is possible.","explainer":["Ambiq Micro designs ultra-low-power chips that run AI on small battery-powered devices. It makes money selling its Apollo systems-on-chip to makers of wearables and IoT hardware, where power efficiency decides what is possible.","The Apollo family is built for edge AI: processors efficient enough to run AI inference on a smartwatch or sensor without draining the battery. That focus on ultra-low-power AI inference is the company's entire pitch.","Founded in 2010 and headquartered in Austin, Texas, Ambiq trades on the NYSE and employs about 200 people."],"buildoutRole":"Ambiq sits in the Semiconductors layer of the buildout at its smallest scale: AI on battery-powered devices. Its Apollo SoCs run inference on wearables and IoT hardware at the network edge, where power budgets rule out conventional chips. The company is a pure play on on-device AI, so the thesis hinges on edge inference spreading across battery-powered hardware. That focus earns it an AI Exposure Score of 90 out of 100.","faq":[{"q":"What does Ambiq Micro do?","a":"Ambiq designs ultra-low-power chips for battery-powered devices. Its Apollo systems-on-chip let wearables and IoT hardware run AI inference locally without draining the battery, and it earns revenue from chip sales to device makers."},{"q":"How is Ambiq Micro exposed to AI?","a":"Almost entirely. Ambiq is a pure play on on-device AI, and its thesis hinges on edge inference spreading across battery-powered hardware. Supercycle gives it an AI Exposure Score of 90 out of 100."},{"q":"What are Ambiq's main products?","a":"The Apollo family of edge AI systems-on-chip, designed for ultra-low-power AI inference in wearables, sensors, and other small battery-powered devices at the network edge."},{"q":"Where is Ambiq headquartered and who leads it?","a":"Ambiq is headquartered in Austin, Texas, and led by CEO Fumihide Esaka. The company was founded in 2010, employs about 200 people, and its shares trade on the NYSE."},{"q":"Is AMBQ a pure play AI stock?","a":"Yes by Supercycle's rating. Its business is built on ultra-low-power edge AI chips, placing it in the pure play tier of the AI Exposure leaderboard with a score of 90 out of 100."}],"history1y":[{"date":"2026-09-22","close":71.05},{"date":"2026-09-23","close":69.13},{"date":"2026-09-24","close":68.92},{"date":"2026-09-25","close":69.79},{"date":"2026-09-28","close":68.3},{"date":"2026-09-29","close":64.81},{"date":"2026-09-30","close":68.17},{"date":"2026-10-01","close":69.15},{"date":"2026-10-02","close":68.18},{"date":"2026-10-05","close":65.92},{"date":"2026-10-06","close":63.24},{"date":"2026-10-07","close":61.98},{"date":"2026-10-08","close":58.9},{"date":"2026-10-09","close":58.56},{"date":"2026-10-12","close":55.45},{"date":"2026-10-13","close":55.86},{"date":"2026-10-14","close":51.55},{"date":"2026-10-15","close":52.08},{"date":"2026-10-16","close":49.88},{"date":"2026-10-19","close":49.62},{"date":"2026-10-20","close":50.98},{"date":"2026-10-21","close":52.24},{"date":"2026-10-22","close":49.57},{"date":"2026-10-23","close":50.36},{"date":"2026-10-26","close":51.06},{"date":"2026-10-27","close":54.67},{"date":"2026-10-28","close":54.86},{"date":"2026-10-29","close":53.8},{"date":"2026-10-30","close":47.77},{"date":"2026-11-02","close":43.31}],"incomeStatements":[{"ticker":"AMBQ","report_period":"2025-12-31","fiscal_period":"2025-FY","period":"annual","currency":"USD","revenue":72514000,"cost_of_revenue":40419000,"gross_profit":32095000,"operating_expense":0,"operating_income":-39543000,"net_income":-36461000,"earnings_per_share":-4.57,"earnings_per_share_diluted":-4.57,"research_and_development":38486000,"selling_general_and_administrative_expenses":33152000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0},{"ticker":"AMBQ","report_period":"2024-12-31","fiscal_period":"2024-FY","period":"annual","currency":"USD","revenue":76067000,"cost_of_revenue":51776000,"gross_profit":24291000,"operating_expense":0,"operating_income":-40613000,"net_income":-39661000,"earnings_per_share":-2.4033,"earnings_per_share_diluted":-2.4033,"research_and_development":37168000,"selling_general_and_administrative_expenses":27736000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0},{"ticker":"AMBQ","report_period":"2023-12-31","fiscal_period":"2023-FY","period":"annual","currency":"USD","revenue":65537000,"cost_of_revenue":46096000,"gross_profit":19441000,"operating_expense":0,"operating_income":-51322000,"net_income":-50332000,"earnings_per_share":-5,"earnings_per_share_diluted":-5,"research_and_development":44020000,"selling_general_and_administrative_expenses":26743000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0},{"ticker":"AMBQ","report_period":"2021-12-31","fiscal_period":"2021-FY","period":"annual","currency":"USD","revenue":91008000,"cost_of_revenue":60242000,"gross_profit":30766000,"operating_expense":0,"operating_income":-24465000,"net_income":-25342000,"earnings_per_share":-0.1,"earnings_per_share_diluted":-0.1,"research_and_development":36106000,"selling_general_and_administrative_expenses":19125000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0}],"balanceSheets":[{"ticker":"AMBQ","report_period":"2025-12-31","fiscal_period":"2025-FY","period":"annual","currency":"USD","total_assets":184680000,"current_assets":167919000,"cash_and_equivalents":140275000,"total_liabilities":22221000,"current_liabilities":19178000,"total_debt":678000,"shareholders_equity":162459000,"retained_earnings":-356711000},{"ticker":"AMBQ","report_period":"2024-12-31","fiscal_period":"2024-FY","period":"annual","currency":"USD","total_assets":104278000,"current_assets":88956000,"cash_and_equivalents":60981000,"total_liabilities":18530000,"current_liabilities":11768000,"total_debt":966000,"shareholders_equity":85748000,"retained_earnings":-320250000},{"ticker":"AMBQ","report_period":"2023-12-31","fiscal_period":"2023-FY","period":"annual","currency":"USD","total_assets":72432000,"current_assets":63862000,"cash_and_equivalents":27321000,"total_liabilities":13299000,"current_liabilities":12917000,"total_debt":1023000,"shareholders_equity":59133000,"retained_earnings":-277865000},{"ticker":"AMBQ","report_period":"2021-12-31","fiscal_period":"2021-FY","period":"annual","currency":"USD","total_assets":105126000,"current_assets":98838000,"cash_and_equivalents":25924000,"total_liabilities":16120000,"current_liabilities":14801000,"total_debt":0,"shareholders_equity":89006000,"retained_earnings":-158097000}],"holders13f":[{"slug":"gavin-baker","personName":"Gavin 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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/AMBQ","html":"https://supercyclehq.com/stock/ambiq-micro","md":"https://supercyclehq.com/stock/ambiq-micro.md","docs":"https://supercyclehq.com/api/v1/openapi.json"}}