Mega First Corporation (3069) Fair Value & Analysis
Utilities · MY · Market cap 2.8B MYR
Analysis
Mega First Corporation (3069) currently trades at 2.90 MYR, while our model-based Fair Value estimate is 6.71 MYR — implying the stock looks roughly 131.4% undervalued today. We read business quality at 89/100 (high quality), in the Utilities 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: medium) — always confirm before acting.
About the company
Mega First Corporation Berhad, together with its subsidiaries, engages in renewable energy, resources, and packaging businesses in Malaysia, Lao PDR, other ASEAN countries, India, Bangladesh, Papua New Guinea, the United States, Australia, New Zealand, and internationally. The company builds, owns, and operates a 260 MW run-of-river hydropower plant; and undertakes solar photovoltaic investment business activities. It is also involved in the quarrying of limestone; manufacture and sale of lime products and calcium carbonate powder; and manufactures and sells flexible packaging materials, paper bags, flexible packaging, and labels products, as well as printed labels and stickers. In addition, the company provides management, property development, plantation development, property investment, and management consultancy services; development and operation of medical centre; engineering, designing, and manufacturing of automotive components; manufacture and trading of various kinds of me…
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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.