Right Way Industrial Co (1506) Fair Value & Analysis
Consumer Cyclical · TW · Market cap 3.1B TWD
Fair value as of: Jun 24, 2026
Analysis
Right Way Industrial Co (1506) currently trades at 10.05 TWD, while our model-based Fair Value estimate is 1.34 TWD — implying the stock looks roughly 86.7% overvalued today. We read business quality at 92/100 (high quality), in the Consumer Cyclical 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
Right Way Industrial Co.,Ltd manufactures and sells casting and forging parts to original equipment manufacturers and aftermarket. The company offers various casting and forging parts with steel or aluminum alloy materials, including pistons, connecting rods, steering knuckles and system parts, suspension control arms, industrial compressor housings, industrial pump chambers, die casting parts, cast iron parts, balance shafts, and suspension components for vehicle and industrial applications. It also provides engine brackets for engines, tie rod joints, and side rod assemblies; ball joints of chassis, steering system parts, balance beam, and other forging parts; and refrigeration compressor components and outboard motor related components, etc. In addition, the company offers system furniture-related products, such as cabinets, low cabinets, and TV cabinets. The company was founded in 1964 and is based in Tainan City, Taiwan.
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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.