Highway Holdings (HIHO) Fair Value & Analysis
Industrials · US · Market cap $3.7M
Fair value as of: Jun 24, 2026
Analysis
Highway Holdings (HIHO) currently trades at $0.8006, while our model-based Fair Value estimate is $0.4800 — implying the stock looks roughly 40.0% overvalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
Highway Holdings Limited, together with its subsidiaries, manufactures and sells metal, plastic, electric, and electronic parts and components, subassemblies, and finished products in Hong Kong, China, Europe, and North America. The company operates through two segments, Metal Stamping and Mechanical Original Equipment Manufacturer (OEM), and Electric OEM. Its products are used in the manufacture of products, such as photocopiers, laser printers, print cartridges, electrical connectors, electrical circuits, vacuum cleaners, LED power supplies, stepping motors, pumps for dishwashers, and other washing machine components. The company also provides assistance in the design and development of the tooling used in the metal and plastic manufacturing process; manufacturing services, including metal stamping, screen printing, plastic injection molding, pad printing, and electronic assembly of printed circuit boards; and engineering services. In addition, it engages in the trade of plastic i…
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Frequently asked questions
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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.