Maxvision Technology Corp (002990) Fair Value & Analysis
Industrials · CN · Market cap 144B KRW
Analysis
Maxvision Technology Corp (002990) currently trades at 3,730 KRW, while our model-based Fair Value estimate is 22,654 KRW — implying the stock looks roughly 507.3% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Maxvision Technology Corp., together with its subsidiaries, engages in the research, development, production, and sales of intelligent products in China and internationally. The company offers identity authentication products, such as face recognition terminal, palm vein identity, fingerprint capture, biometric information capture, ID/travel document reader, e-gate, and visitor manager; passenger security products, including security checking, immigration authority, and customs authority; cargo security comprising non-intrusive inspection and in-transit supervision; and vehicle security products. It also provides intelligent transportation comprising traffic safety, efficiency, and services, as well as intelligent transportation management system platform; intelligent robot, such as firefighting, cleaning, and under-vehicle inspection robots; and intelligent algorithms, including servers and AI algorithms. In addition, the company offers smart transportation, port, airport, seaport,…
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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.