Fairvalue-Calculator Fairvalue-Calculator
EN DE

Pan Ocean Co (028670) Fair Value & Analysis

Industrials · KR · Market cap 2.8T KRW

Price4,670 KRW
Fair Value11,840 KRW
Upside+153.5%
Quality95/100
Evidence: High Range 8,880 KRW – 14,801 KRW

Analysis

Pan Ocean Co (028670) currently trades at 4,670 KRW, while our model-based Fair Value estimate is 11,840 KRW — implying the stock looks roughly 153.5% 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

Pan Ocean Co., Ltd., together with its subsidiaries, provides marine transportation and other related services worldwide. The company offers break bulk liner services for steel, coal, wood, equipment, and machinery cargoes; tramper services for dry bulk cargo shipping, such as iron ore, coal, grain, sugar, logs, minerals, fertilizers, and scrap metal; and large bulker services for transporting dry bulk cargo comprising coal and iron ore, as well as container services. It also provides tanker services for transporting crude oil, gasoline, gas oil, and jet oil; oil and fats; and petrochemicals, which comprise benzene, toluene, xylene, base oil, and caustic soda. In addition, the company provides liquefied natural gas carrier services; heavy lifter services for offshore wind components, machinery, and modules; and tug boats, drill ships, barges, ocean platforms, etc. Further, it is involved in the trading and logistics of agriculture products, such as corn, soybean, wheat, and soybean …

Open the full interactive analysis →

Similar stocks

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.