Tenaga Nasional Berhad (TNABY) Fair Value & Analysis
Utilities · US · Market cap $21.1B
Analysis
Tenaga Nasional Berhad (TNABY) currently trades at $14.50, while our model-based Fair Value estimate is $14.25 — implying the stock looks roughly 1.7% overvalued today. We read business quality at 94/100 (high quality), in the Utilities 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: high).
About the company
Tenaga Nasional Berhad engages in the generation, transmission, distribution, and sale of electricity in Malaysia, the United Kingdom, Kuwait, the Republic of Ireland, Australia, and internationally. It operates and maintains thermal and hydroelectric power plants; and operates and manages the National Grid that is connected to Thailand's transmission system, as well as Singapore's transmission system at Senoko. The company also supplies fuel and coal for power generation; generates, distributes, supplies, deals in, and sells various energy sources, as well as provides related technical services; develops district cooling systems; operates and maintains co-generation works; manufactures, sells, and repairs distribution, power, and earthing transformers; and owns, develops, and manages dry bulk terminals. In addition, it provides turnkey contracting services to transmission substations; repair and maintenance services to heavy industries and other related services; operation and main…
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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.