MicroVision, Inc (MVIS) Fair Value & Analysis
Technology · US · Market cap $126M
Fair value as of: Jun 24, 2026
Analysis
MicroVision, Inc (MVIS) currently trades at $0.3447, while our model-based Fair Value estimate is $0.4800 — implying the stock looks roughly 39.3% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
MicroVision, Inc. develops and commercializes lidar sensors and perception solutions in the United States, Germany, and internationally. It offers lidar sensors, such as MOVIA, a flash-based short- to mid-range sensor; MAVIN, a MEMS-based 905nm long-range sensor capable of small object detection; IRIS and HALO, which are 1550nm long-range sensors; and Scantinel, 1550nm long-range FMCW lidar. The company also provides engineering services; and development of custom application software. It serves automotive OEMs, industrial automation equipment, and security and defense contractors, automated warehouse operators, agriculture and mining companies, automotive Tier 1 suppliers, defense tech companies, and potential customers in several other industrial markets through its website, account based, and business-to-business targeting, as well as participation in trade shows. MicroVision, Inc. was founded in 1993 and is headquartered in Redmond, Washington.
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.