Wilh. Wilhelmsen Holding (WLHSF) Fair Value & Analysis
Industrials · US · Market cap $3.1B
Analysis
Wilh. Wilhelmsen Holding (WLHSF) currently trades at $74.35, while our model-based Fair Value estimate is $79.07 — implying the stock looks roughly 6.3% 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
Wilh. Wilhelmsen Holding ASA provides maritime products and services worldwide. It operates through three segments: Maritime Services, New Energy, and Strategic Holdings and Investments. The company offers pumps, marine chemicals, air tools, workshop equipment, cleaning equipment, gases, refrigerants and cylinders, refrigeration equipment, welding, environmental, ropes, specialty marine lubricants, and marine emission control solutions. it also provides ship management, including crewing, technical and management, agency, freight and liner, and shared services; various maritime logistics and ships agency services for ports; digital products and various other solutions for ship services; technical management, crew management, emission management, opex management, and auxiliary ship services for ship management; energy infrastructure, offshore wind, and technology and decarbonization solutions for energy; international maritime training center; insurance services; Wilner governmental …
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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.