Liaoning Port Co (DLPTF) Fair Value & Analysis
Industrials · US · Market cap $2.6B
Fair value as of: Jun 24, 2026
Analysis
Liaoning Port Co (DLPTF) currently trades at $0.1100, while our model-based Fair Value estimate is $0.1700 — implying the stock looks roughly 54.5% undervalued today. We read business quality at 84/100 (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
Liaoning Port Co., Ltd., together with its subsidiaries, provides cargo handling, transportation, port operations, and logistics services in China and internationally. It operates through seven segments: Oil and liquid chemical terminal and related logistics business; Container terminal and related logistics business; Bulk cargo terminal and related logistics business; Bulk grain terminal and related logistics business; Passenger roll-on/roll-off terminal and related logistics business; Port value-added and port support services; and Automobile terminal and related logistics business. The company engages in the oil and liquid chemical product loading and unloading, storage and transshipment, and port management business; and container loading and unloading, terminal leasing, various container logistics businesses, and property sales, as well as wholesale activities. It also provides loading and unloading ore, and groceries and related logistics services; loading and unloading of gra…
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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.