Stolt-Nielsen Limited (SOIEF) Fair Value & Analysis
Industrials · US · Market cap $2.2B
Analysis
Stolt-Nielsen Limited (SOIEF) currently trades at $31.75, while our model-based Fair Value estimate is $71.05 — implying the stock looks roughly 123.8% 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
Stolt-Nielsen Limited, together with its subsidiaries, provides transportation, storage, and distribution solutions for bulk liquid chemicals, edible oils, acids, and other specialty liquids worldwide. It operates through five segments: Tankers, Terminals, Tank Containers, Stolt Sea Farm, and Stolt-Nielsen Gas. The company also produces, processes, and markets seafood, including turbot and sole; and stores and handles chemicals, clean petroleum products, liquefied petroleum gases, vegetable oils, and biofuels, as well as alternative fuels and feedstocks. In addition, it holds investment in logistics, distribution, liquid natural gas, and land-based aquaculture businesses. Further, it offers operations of deep-sea and regional chemical tankers to manufacturers and consumers of chemicals, edible oils, acids, and other bulk liquids; provides storage services for bulk liquids and gases; and logistics services. The company was founded in 1959 and is based in London, the United Kingdom. S…
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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.