{"data":{"ticker":"MXL","slug":"maxlinear","name":"MaxLinear","exchange":"NASDAQ","sector":"Technology","headquarters":"Carlsbad, CA","ceo":"Kishore Seendripu","employees":1115,"website":"https://www.maxlinear.com","founded":"2003","layers":[{"slug":"networking","name":"Networking & Optics"},{"slug":"semiconductors","name":"Semiconductors"}],"exposure":{"score":45,"tier":"Growing","rationale":"MaxLinear's Keystone PAM4 DSPs and interconnect silicon compete for sockets in AI data center optics against Marvell, Broadcom, and Credo, making AI infrastructure its strategic growth bet. The thesis depends on winning those designs at scale, since broadband and connectivity chips still generate most revenue."},"quote":{"price":61.33,"change24hPct":-9.1,"change7dPct":-7.73,"change30dPct":-42.1,"change1yPct":292.64,"high52w":128.03,"low52w":13.05,"marketCap":5562213376,"peRatio":null,"eps":-0.33,"volume24h":177390892},"nextEarningsDate":"2027-01-28","summary":"MaxLinear is a fabless semiconductor company: it designs chips and outsources manufacturing. Its historical base is broadband, supplying the modem and gateway silicon inside cable, fiber, and DSL equipment, plus Wi-Fi connectivity and infrastructure chips sold to equipment makers serving telecom operators.","explainer":["MaxLinear is a fabless semiconductor company: it designs chips and outsources manufacturing. Its historical base is broadband, supplying the modem and gateway silicon inside cable, fiber, and DSL equipment, plus Wi-Fi connectivity and infrastructure chips sold to equipment makers serving telecom operators.","The AI story runs through Keystone, its family of 800G PAM4 DSPs, the signal processing chips inside optical modules and active electrical cables that link switches and GPUs, with next-generation 1.6T interconnect silicon in development. Its Panther storage accelerators offload data compression in enterprise storage systems.","Founded in 2003 and headquartered in Carlsbad, California, MaxLinear employs about 1,100 people, trades on the NASDAQ, and has expanded through acquisitions including Exar and Intel's home gateway platform business."],"buildoutRole":"MaxLinear sits in the Networking layer and Semiconductors layer of the buildout. Optical modules in AI clusters need DSPs to recover clean signals at 800G speeds, a market led by Marvell and Broadcom where MaxLinear's Keystone chips compete as a challenger. Active electrical cables, a lower-power option for short in-rack links, are a second entry point. Winning even a modest share of AI interconnect sockets would be meaningful against its small revenue base.","faq":[{"q":"What does MaxLinear do?","a":"MaxLinear designs mixed-signal chips for broadband access, Wi-Fi connectivity, infrastructure, and storage. Its silicon sits inside cable and fiber modems, wireless backhaul gear, and enterprise equipment, and its newer Keystone DSPs target high-speed interconnects in data centers."},{"q":"How is MaxLinear exposed to AI?","a":"Its Keystone 800G PAM4 DSPs go inside the optical modules and active electrical cables that connect AI servers and switches, with faster generations in development. Supercycle rates it Growing with an AI Exposure Score of 45 out of 100, reflecting real products but unproven share."},{"q":"Who are MaxLinear's competitors in AI interconnect?","a":"The PAM4 DSP market for data center optics is dominated by Marvell and Broadcom, with Credo also competing in short-reach links. MaxLinear enters as a challenger, so its AI upside depends on converting hyperscaler and module-maker qualifications into volume shipments."},{"q":"Is MXL a pure play AI stock?","a":"No. Supercycle classifies MaxLinear as Growing. AI interconnect silicon is its strategic bet and clearest growth path, but broadband and connectivity chips for telecom equipment still generate most revenue, and the AI business carries execution risk against larger rivals."},{"q":"Who leads MaxLinear?","a":"Co-founder Kishore Seendripu has led MaxLinear as CEO since starting the company in 2003. It is headquartered in Carlsbad, California, employs about 1,100 people, and remains one of the smaller independent chip designers competing in data center interconnect."}],"history1y":[{"date":"2026-09-22","close":87.43},{"date":"2026-09-23","close":84.32},{"date":"2026-09-24","close":85.31},{"date":"2026-09-25","close":93.84},{"date":"2026-09-28","close":90},{"date":"2026-09-29","close":92.72},{"date":"2026-09-30","close":90.31},{"date":"2026-10-01","close":92.12},{"date":"2026-10-02","close":105.93},{"date":"2026-10-05","close":105.49},{"date":"2026-10-06","close":109.3},{"date":"2026-10-07","close":107.36},{"date":"2026-10-08","close":93.7},{"date":"2026-10-09","close":96.16},{"date":"2026-10-12","close":88.99},{"date":"2026-10-13","close":88.64},{"date":"2026-10-14","close":78.82},{"date":"2026-10-15","close":78.18},{"date":"2026-10-16","close":71.32},{"date":"2026-10-19","close":77.11},{"date":"2026-10-20","close":73.51},{"date":"2026-10-21","close":75.79},{"date":"2026-10-22","close":65.28},{"date":"2026-10-23","close":63.46},{"date":"2026-10-26","close":66.47},{"date":"2026-10-27","close":74.67},{"date":"2026-10-28","close":75.14},{"date":"2026-10-29","close":71.61},{"date":"2026-10-30","close":67.47},{"date":"2026-11-02","close":61.33}],"incomeStatements":[{"ticker":"MXL","report_period":"2025-12-31","fiscal_period":"2025-FY","period":"annual","currency":"USD","revenue":467641000,"cost_of_revenue":201827000,"gross_profit":265814000,"operating_expense":0,"operating_income":-102365000,"net_income":-136681000,"earnings_per_share":-1.58,"earnings_per_share_diluted":-1.58,"research_and_development":208599000,"selling_general_and_administrative_expenses":159580000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0},{"ticker":"MXL","report_period":"2024-12-31","fiscal_period":"2024-FY","period":"annual","currency":"USD","revenue":360528000,"cost_of_revenue":165746000,"gross_profit":194782000,"operating_expense":0,"operating_income":-168736000,"net_income":-245198000,"earnings_per_share":-2.93,"earnings_per_share_diluted":-2.93,"research_and_development":225189000,"selling_general_and_administrative_expenses":138329000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0},{"ticker":"MXL","report_period":"2023-12-31","fiscal_period":"2023-FY","period":"annual","currency":"USD","revenue":693263000,"cost_of_revenue":307600000,"gross_profit":385663000,"operating_expense":0,"operating_income":-15997000,"net_income":-73147000,"earnings_per_share":-0.91,"earnings_per_share_diluted":-0.91,"research_and_development":269504000,"selling_general_and_administrative_expenses":132156000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0},{"ticker":"MXL","report_period":"2022-12-31","fiscal_period":"2022-FY","period":"annual","currency":"USD","revenue":1120252000,"cost_of_revenue":470483000,"gross_profit":649769000,"operating_expense":0,"operating_income":185319000,"net_income":125040000,"earnings_per_share":1.55,"earnings_per_share_diluted":1.55,"research_and_development":296442000,"selling_general_and_administrative_expenses":168008000,"interest_expense":0,"income_tax_expense":0,"weighted_average_shares_diluted":0}],"balanceSheets":[{"ticker":"MXL","report_period":"2025-12-31","fiscal_period":"2025-FY","period":"annual","currency":"USD","total_assets":796396000,"current_assets":248841000,"cash_and_equivalents":72806000,"total_liabilities":344501000,"current_liabilities":186020000,"total_debt":145027000,"shareholders_equity":451895000,"retained_earnings":-500406000},{"ticker":"MXL","report_period":"2024-12-31","fiscal_period":"2024-FY","period":"annual","currency":"USD","total_assets":864639000,"current_assets":323442000,"cash_and_equivalents":118575000,"total_liabilities":348356000,"current_liabilities":182284000,"total_debt":149361000,"shareholders_equity":516283000,"retained_earnings":-363725000},{"ticker":"MXL","report_period":"2023-12-31","fiscal_period":"2023-FY","period":"annual","currency":"USD","total_assets":1080257000,"current_assets":488025000,"cash_and_equivalents":187288000,"total_liabilities":393992000,"current_liabilities":222129000,"total_debt":157750000,"shareholders_equity":686265000,"retained_earnings":-118527000},{"ticker":"MXL","report_period":"2022-12-31","fiscal_period":"2022-FY","period":"annual","currency":"USD","total_assets":1180025000,"current_assets":563124000,"cash_and_equivalents":187353000,"total_liabilities":503640000,"current_liabilities":341086000,"total_debt":155599000,"shareholders_equity":676385000,"retained_earnings":-45380000}],"holders13f":[{"slug":"ray-dalio","personName":"Ray Dalio","fundName":"Bridgewater Associates","value":624658,"portfolioPct":0.000025625852584303243,"change":"new","period":"2026-06-30"}],"news":[]},"meta":{"version":"v1","asOf":"2026-11-02","builtAt":"2026-11-03T05:33:50.030Z","tier":"free","source":"https://supercyclehq.com/stock/maxlinear","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/MXL","html":"https://supercyclehq.com/stock/maxlinear","md":"https://supercyclehq.com/stock/maxlinear.md","docs":"https://supercyclehq.com/api/v1/openapi.json"}}