Sangetsu Corporation (SGSUF) Fair Value & Analysis
Consumer Cyclical · US · Market cap $1.2B
Analysis
Sangetsu Corporation (SGSUF) currently trades at $20.67, while our model-based Fair Value estimate is $27.44 — implying the stock looks roughly 32.8% undervalued today. We read business quality at 96/100 (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
Sangetsu Corporation, together with its subsidiaries, engages in the planning, development, manufacture, sale, and installation of interior decorating products in Japan and internationally. It operates through the Domestic Interior, Domestic Exterior, and Overseas segments. The Domestic Interior segment is involved in the planning, manufacture, and sale of wallcoverings, flooring materials, fabrics, and other interior design materials, as well as space creation, design, and construction. Its Domestic Exterior segment offers exterior products, such as gates, fences, and carports, as well as design proposals and construction for outdoor spaces. The Overseas segment engages in the manufacture and sale of interior design materials, space design, and construction overseas. The company was formerly known as Sangetsudoshoten Co., Ltd. and changed its name to Sangetsu Corporation in 1970. Sangetsu Corporation was founded in 1849 and is headquartered in Nagoya, Japan.
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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.