{"data":{"ticker":"SITM","slug":"sitime","name":"SiTime Corporation","exchange":"NASDAQ","sector":"Technology","headquarters":"Santa Clara, California","ceo":"Rajesh Vashist","employees":441,"website":"https://www.sitime.com","founded":"2004","layers":[{"slug":"semiconductors","name":"Semiconductors"}],"exposure":{"score":45,"tier":"Growing","rationale":"SiTime sells MEMS precision timing chips into AI accelerators, data-center networking, and 5G infrastructure. AI data-center design wins are its fastest-growing segment and the core of the growth story, though diversified electronics demand remains significant."},"quote":{"price":417.9,"change24hPct":-6.52,"change7dPct":-10.07,"change30dPct":-41.09,"change1yPct":44.98,"high52w":901.48,"low52w":252.76,"marketCap":12566685696,"peRatio":746.25,"eps":0.56,"volume24h":339501960},"nextEarningsDate":"2026-11-04","summary":"SiTime makes precision timing chips using MEMS technology, tiny mechanical structures etched in silicon that keep electronic systems synchronized. Every fast digital system needs an accurate clock, and SiTime sells those clocks to makers of AI hardware, networking gear, and communications equipment.","explainer":["SiTime makes precision timing chips using MEMS technology, tiny mechanical structures etched in silicon that keep electronic systems synchronized. Every fast digital system needs an accurate clock, and SiTime sells those clocks to makers of AI hardware, networking gear, and communications equipment.","Its products include MEMS clocks for AI accelerators, data center timing solutions, timing for 5G infrastructure, and precision networking clocks. In an AI cluster, thousands of chips must move data in tight coordination, and timing precision is what keeps that traffic in step.","Founded in 2004 and headquartered in Santa Clara, California, SiTime employs about 440 people under CEO Rajesh Vashist and trades on the NASDAQ."],"buildoutRole":"SiTime sits in the Semiconductors layer of the buildout as a specialist supplier. Its MEMS timing chips go into AI accelerators, data center networking, and the 5G infrastructure that carries AI workloads, and AI data center design wins are its fastest growing segment. Timing is a small but necessary ingredient in every high speed system, so SiTime rides the buildout without competing in it. Diversified electronics demand remains significant, and Supercycle scores its AI exposure at 45 out of 100.","faq":[{"q":"What does SiTime do?","a":"SiTime designs MEMS based precision timing chips, the clocks that keep electronic systems synchronized. It sells them to makers of AI hardware, data center networking gear, and communications equipment."},{"q":"How is SiTime exposed to AI?","a":"AI accelerator and data center design wins are its fastest growing segment, since AI clusters need precise timing to coordinate data movement. Diversified electronics demand remains large, so Supercycle scores its exposure at 45 out of 100."},{"q":"What are SiTime's main products?","a":"MEMS clocks for AI accelerators, data center timing solutions, 5G infrastructure timing, and precision networking clocks used in high speed communications systems."},{"q":"Who leads SiTime and where is it based?","a":"CEO Rajesh Vashist leads SiTime from Santa Clara, California. Founded in 2004, the company employs about 440 people and trades on the NASDAQ."},{"q":"Is SITM a pure play AI stock?","a":"No. SiTime supplies timing chips to many electronics markets, with AI data centers the fastest growing among them. Its Supercycle AI Exposure Score is 45 out of 100."}],"history1y":[{"date":"2026-09-22","close":633.72},{"date":"2026-09-23","close":608.91},{"date":"2026-09-24","close":643.24},{"date":"2026-09-25","close":662.27},{"date":"2026-09-28","close":656.65},{"date":"2026-09-29","close":651.43},{"date":"2026-09-30","close":652.03},{"date":"2026-10-01","close":678.87},{"date":"2026-10-02","close":709.44},{"date":"2026-10-05","close":710.04},{"date":"2026-10-06","close":711.06},{"date":"2026-10-07","close":665.16},{"date":"2026-10-08","close":645.06},{"date":"2026-10-09","close":612.37},{"date":"2026-10-12","close":570.07},{"date":"2026-10-13","close":579.66},{"date":"2026-10-14","close":524.93},{"date":"2026-10-15","close":501.59},{"date":"2026-10-16","close":472.14},{"date":"2026-10-19","close":495.75},{"date":"2026-10-20","close":497.11},{"date":"2026-10-21","close":509.2},{"date":"2026-10-22","close":462.72},{"date":"2026-10-23","close":460.22},{"date":"2026-10-26","close":464.7},{"date":"2026-10-27","close":490.94},{"date":"2026-10-28","close":501.18},{"date":"2026-10-29","close":488.08},{"date":"2026-10-30","close":447.06},{"date":"2026-11-02","close":417.9}],"incomeStatements":[{"ticker":"SITM","report_period":"2025-12-31","fiscal_period":"2025-FY","period":"annual","currency":"USD","revenue":326660000,"cost_of_revenue":151674000,"gross_profit":174986000,"operating_expense":0,"operating_income":-60411000,"net_income":-42903000,"earnings_per_share":-1.72,"earnings_per_share_diluted":-1.72,"research_and_development":118893000,"selling_general_and_administrative_expenses":116504000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0},{"ticker":"SITM","report_period":"2024-12-31","fiscal_period":"2024-FY","period":"annual","currency":"USD","revenue":202697000,"cost_of_revenue":98203000,"gross_profit":104494000,"operating_expense":0,"operating_income":-104518000,"net_income":-93601000,"earnings_per_share":-4.05,"earnings_per_share_diluted":-4.05,"research_and_development":106855000,"selling_general_and_administrative_expenses":102157000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0},{"ticker":"SITM","report_period":"2023-12-31","fiscal_period":"2023-FY","period":"annual","currency":"USD","revenue":143993000,"cost_of_revenue":61905000,"gross_profit":82088000,"operating_expense":0,"operating_income":-99472000,"net_income":-80535000,"earnings_per_share":-3.63,"earnings_per_share_diluted":-3.63,"research_and_development":97589000,"selling_general_and_administrative_expenses":83971000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0},{"ticker":"SITM","report_period":"2022-12-31","fiscal_period":"2022-FY","period":"annual","currency":"USD","revenue":283605000,"cost_of_revenue":100643000,"gross_profit":182962000,"operating_expense":0,"operating_income":16142000,"net_income":23254000,"earnings_per_share":1.03,"earnings_per_share_diluted":1.03,"research_and_development":90288000,"selling_general_and_administrative_expenses":76532000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0}],"balanceSheets":[{"ticker":"SITM","report_period":"2025-12-31","fiscal_period":"2025-FY","period":"annual","currency":"USD","total_assets":1294699000,"current_assets":949279000,"cash_and_equivalents":16759000,"total_liabilities":138517000,"current_liabilities":84005000,"total_debt":3610000,"shareholders_equity":1156182000,"retained_earnings":-224904000},{"ticker":"SITM","report_period":"2024-12-31","fiscal_period":"2024-FY","period":"annual","currency":"USD","total_assets":884959000,"current_assets":544060000,"cash_and_equivalents":6106000,"total_liabilities":185240000,"current_liabilities":108449000,"total_debt":6232000,"shareholders_equity":699719000,"retained_earnings":-182001000},{"ticker":"SITM","report_period":"2023-12-31","fiscal_period":"2023-FY","period":"annual","currency":"USD","total_assets":951683000,"current_assets":623242000,"cash_and_equivalents":9468000,"total_liabilities":243631000,"current_liabilities":121394000,"total_debt":8024000,"shareholders_equity":708052000,"retained_earnings":-88400000},{"ticker":"SITM","report_period":"2022-12-31","fiscal_period":"2022-FY","period":"annual","currency":"USD","total_assets":750616000,"current_assets":669067000,"cash_and_equivalents":34603000,"total_liabilities":42136000,"current_liabilities":33794000,"total_debt":10634000,"shareholders_equity":708480000,"retained_earnings":-7865000}],"holders13f":[{"slug":"whale-rock","personName":"Whale 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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/SITM","html":"https://supercyclehq.com/stock/sitime","md":"https://supercyclehq.com/stock/sitime.md","docs":"https://supercyclehq.com/api/v1/openapi.json"}}