7172 (7172) Fair Value & Analysis
Industrials · MY · Market cap 3.3B MYR
Analysis
7172 (7172) currently trades at 1.74 MYR, while our model-based Fair Value estimate is 2.20 MYR — implying the stock looks roughly 26.4% 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: low) — always confirm before acting.
About the company
PMB Technology Berhad, an investment holding company, produces and distributes metallic silicon and aluminium related products in Malaysia, other Asian countries, and internationally. It operates in two segments, Manufacturing and Trading, and Construction and Fabrication. The Manufacturing and Trading segment manufactures and distributes silicon metal products, access equipment, and other aluminium related products, as well as distributes related building materials. The Construction and Fabrication segment designs, fabricate, and installs of aluminium curtain walls, cladding, skylight, façade works, and aluminium system formworks. In addition, the company provides property development, contracting; manufacture, trades, and distributes industrial building systems; engages in manufacturing and marketing carbon-based products, as well as trades, distributes, and fabricates aluminum related products. Further, it offers marketing and rental of scaffolding tower and machinery, and trade …
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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.