Shin-Etsu Polymer Co (SETUF) Fair Value & Analysis
Basic Materials · US · Market cap $784M
Analysis
Shin-Etsu Polymer Co (SETUF) currently trades at $9.76, while our model-based Fair Value estimate is $17.57 — implying the stock looks roughly 80.0% undervalued today. We read business quality at 97/100 (high quality), in the Basic Materials 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
Shin-Etsu Polymer Co.,Ltd. develops and supplies PVC and semiconductor silicone products worldwide. It offers touch switches and pads, rubber contacts, short strokes, metal domes, in-molds, pressure sensitive devices, view/light path control films, and anisotropic conductive rubber connectors; and silicone rubber tubes and sheets, silicone sponge sheets, medical tube transitions, office automation rollers, medical and chemical products, culture plugs, embossed/blister carrier tapes, top cover tapes, plastic tape frame, and electronic component carrier, as well as wrap films. The company provides PVC pipes and corrugated sheets, sealing materials, self-bonding Silicone rubber tape, silicone adhesive sheets, and construction/civil engineering waterproof silicone sheet; and compound, transparent conductive ink, high-functioning engineering plastic films, PVC, TPV, and TPU compound, conductive polymer, and PEEK film. It serves consumer electronics, electric components, semiconductor, au…
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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.