PRG Holdings (7168) Fair Value & Analysis
Consumer Cyclical · MY · Market cap 43.9M MYR
Fair value as of: Jun 26, 2026
Analysis
PRG Holdings (7168) currently trades at 0.0900 MYR, while our model-based Fair Value estimate is 0.0810 MYR — implying the stock looks roughly 10.0% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).
About the company
PRG Holdings Berhad, an investment holding company, manufactures, markets, and sells rubber strips, yarn, webbing, and metal components. It operates through four segments: Manufacturing, Energy Efficiency, Property Development and Construction, and Agriculture. The company is involved in trading of machinery and accessories; and harvesting and sale of teak logs, pineapple, and durian plantation activities, as well as markets, promotes, and exports agriculture, forestry, logging, and plantation related products. It also offers upholstery webbings, square cut rubber threads, rigid webbings, covered elastic yarn, and safety webbings. In addition, the company provides medical and management consultation, accounting, office, and administration services, as well as general support and cardiovascular services; trades in medical products; undertakes civil and building construction works; and rents machinery, equipment, etc. Further, it is involved in the development and construction of resi…
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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.