PGF Capital Berhad, (8117) Fair Value & Analysis
Basic Materials · MY · Market cap 305M MYR
Fair value as of: Jun 24, 2026
Analysis
PGF Capital Berhad, (8117) currently trades at 1.49 MYR, while our model-based Fair Value estimate is 2.28 MYR — implying the stock looks roughly 53.0% undervalued today. We read business quality at 97/100 (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
PGF Capital Berhad, together with its subsidiaries, engages in the manufacture and trading of fiber glasswool and related products primarily in Malaysia, Oceania, and internationally. It operates through the Insulation, Property Development, Investment Holding, and Others segments. The company manufactures glass mineral wool products using thermosetting resin under the Ecowool brand; acoustic panels; fire-resistant doors; silencing equipment for power generators; and noise barriers along transport infrastructure. It is also involved in the operation of integrated manufacturing, warehousing facilities, and plantations of tropical fruits, as well as the trade and manufacture of melt-blown non-woven fabric and building and hygiene related products. The company was formerly known as Poly Glass Fibre (M) Bhd and changed its name to PGF Capital Berhad in January 2022. PGF Capital Berhad was incorporated in 1978 and is headquartered in Perai, Malaysia.
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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.