Alla Public Company (ALLA) Fair Value & Analysis
Industrials · TH · Market cap 702M THB
Fair value as of: Jun 25, 2026
Analysis
Alla Public Company (ALLA) currently trades at 1.15 THB, while our model-based Fair Value estimate is 2.90 THB — implying the stock looks roughly 152.2% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Alla Public Company Limited, together with its subsidiary, Onvalla Company Limited, imports, manufactures, and distributes cranes, electric hoists, industrial doors, loading docks, electronic lifts, PVC strip curtains, and warehouse management systems in Thailand. It operates through Sales and Service Income; and After-Sales Service Income segments. The company offers single girder and double girder overhead, suspension, gantry, pillar and wall jib, and wall traveling cranes; electric wire and chain rope; electric chain, hand, and monorail hoist; and explosion-proof winch. It also provides fire resistant and cold room doors; dock levelers and shelters; truck wheel and rear locks, traffic lights, lamps with stands for light, impact rubber products, and lamps and fans; plastic curtains; warehouse solution products, including racking and shelving series products, racking accessories, high volume low speed fans, logistic containers, handling equipment, and air curtains; solar cells and …
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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.