Nippon Yusen Kabushiki Kaisha, (NPNYY) Fair Value & Analysis
Industrials · US · Market cap $13.1B
Fair value as of: Jun 24, 2026
Analysis
Nippon Yusen Kabushiki Kaisha, (NPNYY) currently trades at $6.50, while our model-based Fair Value estimate is $9.45 — implying the stock looks roughly 45.4% 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
Nippon Yusen Kabushiki Kaisha, together with its subsidiaries, provides logistics services in Japan, North America, Europe, Asia, and internationally. The company offers container ships transport, port cargo handling, and ship agency services; and operates container terminals and tugboats. It also provides logistics services, including land transportation by truck and rail, customs clearance, and ocean and air freight forwarding services; supply chain management services comprising collection, storage, inspection, sorting, labeling, repackaging, delivery to specified destinations, and management and IT-based information management services; and transporting of completed vehicles, construction and heavy machinery, and used vehicles. In addition, the company is involved in the provision of dry bulk services; and energy transportation of products, such as crude oil, petroleum products, chemicals, liquefied petroleum gas, liquefied natural gas, coal, seismic survey vessels, drill ships,…
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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.