Hai An Transport And Stevedoring Joint Stock Company (HAH) Fair Value & Analysis
Industrials · VN · Market cap 9.8T VND
Fair value as of: Jun 25, 2026
Analysis
Hai An Transport And Stevedoring Joint Stock Company (HAH) currently trades at 53,000 VND, while our model-based Fair Value estimate is 136,336 VND — implying the stock looks roughly 157.2% undervalued today. We read business quality at 80/100 (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: medium) — always confirm before acting.
About the company
Hai An Transport And Stevedoring Joint Stock Company, together with its subsidiaries, engages in port operation, sea transport, shipping agency, and logistics operations in Vietnam. The company operates through Vessel Operation, Port Operation, and Others segments. It also involved in the stevedoring, delivery, and preservation of cargoes; sea transport and inland trucking; agency and shipping agent; export/import, warehouse, and storage of cargoes; cleaning and repairing of containers; vessel towing and supporting; sea container transportation; and safety management and ship engineering businesses. In addition, the company offers forwarding, LOLO, customs, freight forwarding, customs clearance and transport related packaging, depot, and door to door services. Hai An Transport And Stevedoring Joint Stock Company was incorporated in 2009 and is headquartered in Hanoi, Vietnam.
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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.