Koatsu Gas Kogyo Co (KTSUF) Fair Value & Analysis
Basic Materials · US · Market cap $347M
Fair value as of: Jun 24, 2026
Analysis
Koatsu Gas Kogyo Co (KTSUF) currently trades at $6.28, while our model-based Fair Value estimate is $8.82 — implying the stock looks roughly 40.4% undervalued today. We read business quality at 95/100 (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
Koatsu Gas Kogyo Co., Ltd., together with its subsidiaries, engages in the gas and chemical products businesses in Japan. It provides dissolved acetylene gas for welding, cutting, heating, removing glass and copper wire from molds, pharmaceutical synthesis, and carbon raw materials applications; laser gas and mixed gas for various applications, such as laser processing, welding, sterilization, biotechnology, and food products; separated gas used analytical instruments for measuring the concentration of various air pollutants, automobile exhaust gas and flue gas, and calibration of gas detectors; LP gas/LNG for cutting/heating and fuel applications; agricultural carbon dioxide; gas cylinders; and safety systems. The company also offers chemical products, such as adhesives, PEGAR, a synthetic resin emulsion, and CYANON, an adhesive made from a cyanoacrylate monomer. Further, it offers RF tag related devices and their application systems, which used for railway equipment management and…
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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.