Sodick Co (SDCKF) Fair Value & Analysis
Industrials · US · Market cap $288M
Fair value as of: Jun 24, 2026
Analysis
Sodick Co (SDCKF) currently trades at $5.77, while our model-based Fair Value estimate is $10.72 — implying the stock looks roughly 85.8% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Sodick Co., Ltd., together with its subsidiaries, engages in the development, manufacture, and sale of numerical control electric discharge machines (EDMs) in Japan and internationally. The company operates through three segments: Machine Tool, Industrial Machinery, and Food Machinery. The Machine Tool segment develops, manufactures, and sells electrical discharge machines. It also offers various products, such as die-sinker, wire-cut, small-hole drilling, and high-speed small hole processing machine; metal 3D printers; machining center; and CAD-CAM solutions. Its Industrial Machinery segment develops, manufactures, and sells injection molding machines, including horizontal and vertical injection moulding machines. The Food Machinery segment develops, manufactures, and sells noodle making machines, noodle manufacturing plants, confectionery production-related equipment, precooked side-dish food sterilization-related equipment, and packaged cooked rice manufacturing equipment. It als…
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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.