Ornapaper Berhad, (5065) Fair Value & Analysis
Consumer Cyclical · MY · Market cap 50.1M MYR
Fair value as of: Jun 24, 2026
Analysis
Ornapaper Berhad, (5065) currently trades at 0.6550 MYR, while our model-based Fair Value estimate is 0.7100 MYR — implying the stock looks roughly 8.4% 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
Ornapaper Berhad, together with its subsidiaries, engages in the manufacture and sale of corrugated boards and carton boxes for the manufacturing sector in Malaysia, rest of Asia, and the United States. The company offers corrugated carton products, including regular slotted cartons, top and bottom, five panel folder, half slotted carton, full overlap slotted carton, L and H shape, nesting, die-cut; and corrugated sheet board, such as single face and wall, and double and triple wall. It also produces paper-based stationery products and flexible packaging materials; and provides ready-made carton boxes and customized carton box or paper products. In addition, the company is involved in property development; and provision of logistics and transportation services. It serves food and beverage, rubber and plastics, furniture, electronics and electrical, hardware and steel, chemical products, healthcare, textiles and garments, and agriculture, as well as other stand-alone converter indust…
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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.