Ama Marine Public Company (AMA) Fair Value & Analysis
Industrials · TH · Market cap 2.0B THB
Fair value as of: Jun 25, 2026
Analysis
Ama Marine Public Company (AMA) currently trades at 3.80 THB, while our model-based Fair Value estimate is 8.75 THB — implying the stock looks roughly 130.3% undervalued today. We read business quality at 92/100 (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
Ama Marine Public Company Limited, together with its subsidiaries, engages in the marine transportation business in Thailand, Southeast Asia regions, China, and India. It operates in two segments, Marine Transportation and Logistics Services. The company owns and operates a fleet of 8 tankers that has a total capacity of 86,466 DWT to transport palm oil, vegetable oil, and other chemicals. It also transports petrol, bio diesel, and vegetable oil through operating 334 trucks and semi-trailers. In addition, the company provides temperature-controlled warehouses and temperature-controlled transportation of goods services, receiving goods and then sorting and collecting into new boxes/containers, fulfillment, value-added services, as well as real time tracking and traceability system. Further, it serves palm oil producers and traders. Ama Marine Public Company Limited was incorporated in 1996 and is based in Bangkok, Thailand.
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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.