Public Packages Holdings (8273) Fair Value & Analysis
Consumer Cyclical · MY · Market cap 176M MYR
Fair value as of: Jun 25, 2026
Analysis
Public Packages Holdings (8273) currently trades at 0.6500 MYR, while our model-based Fair Value estimate is 1.87 MYR — implying the stock looks roughly 187.7% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Public Packages Holdings Berhad, an investment holding company, engages in the production and sale of paper packaging products in Malaysia, the Asia Pacific, Europe, the United States, and internationally. It operates through Investment, Manufacturing, Property, Trading, and Hospitality segments. The company manufactures and retails corrugated cartons, packing materials, and gift and display boxes; manufactures offset printed display boxes; and designs and sells paper, as well as trades in paper products. It also provides financial, administrative, advisory, and management services; branding, design and packaging; customised packaging solutions; supply chain management solutions, such as graphic and structural design, printing and packaging, digital pre-press, media duplication, kitting, warehousing, inventory management, distribution, and creative services. In addition, the company is involved in the property investment; and management and operation of hotels and restaurants. Publi…
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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.