Lohakit Metal Public Company (LHK) Fair Value & Analysis
Basic Materials · TH · Market cap 1.4B THB
Fair value as of: Jun 24, 2026
Analysis
Lohakit Metal Public Company (LHK) currently trades at 3.46 THB, while our model-based Fair Value estimate is 5.36 THB — implying the stock looks roughly 54.9% undervalued today. We read business quality at 85/100 (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: medium) — always confirm before acting.
About the company
Lohakit Metal Public Company Limited, together with its subsidiaries, engages in processing, distribution, and shearing of stainless steel, steel, and metal products in Thailand. It operates in two segments, Production and Distribution, and Procurement and Distribution. The company offers austenitic, ferritic, brass and copper, aluminium, and special stainless-steel products; and cold and hot rolled stainless steel, ornamental tube, square and rectangular tube, automotive pipe, electro-galvanized steel, and galvanized steel products. It also distributes metal and non-ferrous metal products, as well as copper, brass, aluminum, zinc, and galvanized steel products. The company was formerly known as Lohakit Metal Service Center Company Limited and changed its name to Lohakit Metal Public Company Limited in January 2003. Lohakit Metal Public Company Limited was founded in 1989 and is based in Bangkok, Thailand.
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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.