Luhai Holding (2115) Fair Value & Analysis
Consumer Cyclical · TW · Market cap 2.4B TWD
Fair value as of: Jun 24, 2026
Analysis
Luhai Holding (2115) currently trades at 20.45 TWD, while our model-based Fair Value estimate is 29.95 TWD — implying the stock looks roughly 46.5% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: high) — always confirm before acting.
About the company
Luhai Holding Corp. engages in the production and sale of tire valves and accessories in China, Indonesia, and internationally. The company offers TPMS; valves for bicycles, electric bikes, motorcycles, passenger cars/light trucks, trucks/buses, and agricultural/OTR; and valve accessories, such as valve core, valve caps, hexagon nuts, washers, grommets and o-rings, rim nuts, and sleeves. It also provides valve core and mounting tools; tire pressure detection products, including tire pressure and pen type tire pressure gauges; inflating equipment comprising air chucks, clip-on air chucks, and connectors; and rigid, bent, plastic, and flexible valve extensions, as well as holders. In addition, it offers wheel balance weights and tools; tire repair accessories, such as skivers, stitchers, scrapers, repair tools, and tire repair units; and tire repair kits. Further, the company engages in investment and leasing activities; and manufacturing and selling precision processed products. It s…
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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.