Toray Industries, Inc (TRYIF) Fair Value & Analysis
Consumer Cyclical · US · Market cap $11.5B
Fair value as of: Jun 25, 2026
Analysis
Toray Industries, Inc (TRYIF) currently trades at $7.90, while our model-based Fair Value estimate is $6.29 — implying the stock looks roughly 20.4% overvalued today. We read business quality at 91/100 (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: high).
About the company
Toray Industries, Inc., together with its subsidiaries, manufactures, processes, and sells fibers and textiles, performance chemicals, carbon fiber composite materials, environment and engineering products, and life science products in Japan, China, North America, Europe, and internationally. The company offers filament yarns, staple fibers, and spun yarns, as well as woven and knitted fabrics of nylon, polyester, acrylics, and others; non-woven fabrics; ultra-microfiber non-woven fibers; and apparel products. It also provides nylon, ABS, PBT, PPS, and other resins and molded products; polyolefin foam products; polyester, polyethylene, polypropylene, and other films; processed film products; raw materials for synthetic fibers and other plastics; fine chemicals; electronic and information materials; and graphic materials. In addition, the company offers carbon fibers, carbon fiber composite materials, and molded products; analysis, physical evaluation, research, and other services; a…
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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.