BMT Co (086670) Fair Value & Analysis
Industrials · KR · Market cap 165B KRW
Fair value as of: Jun 25, 2026
Analysis
BMT Co (086670) currently trades at 15,020 KRW, while our model-based Fair Value estimate is 37,270 KRW — implying the stock looks roughly 148.1% 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
BMT Co., Ltd. manufactures and sells industrial fittings and valves for various industrial fields in South Korea and internationally. The company offers fittings, such as tube, dielectric, flared tube, high pressure, thread, hose, bend, pre-forming, and clean fittings; and valves, which comprise ball, cryogenic globe and needle, key operation, plug, UHP, needle, check, manifold, relief, toggle, double block and bleed, flange ball and hydraulic flange, diaphragm, and excess flow valves. It also provides hydraulic and full flow quick connectors, filters, tubing, metal hoses, vacuum clamps, swaging units, tube benders, break away couplings, flange products, regulators, and forged fittings. In addition, the company offers low and high voltage switchboards, packaged switchboards, MCC products, and power distribution boards; smart-eye energy management systems; and molded case power distributors and busbar systems, EHT controllers, smart-eye CT meters, IIoT gateways, and repeaters, as wel…
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Frequently asked questions
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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.