Mitsui & Co (MITSY) Fair Value & Analysis
Industrials · US · Market cap $83.5B
Fair value as of: Jun 25, 2026
Analysis
Mitsui & Co (MITSY) currently trades at $567.50, while our model-based Fair Value estimate is $657.70 — implying the stock looks roughly 15.9% 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
Mitsui & Co., Ltd. operates as trading company in Japan and internationally. It operates through Energy; Mobility, Digital & Infrastructure; Chemicals; Iron & Steel Products, Wellness Ecosystem; Innovation & Corporate Development; and All Other segments. The company is involved in development, processing and marketing of underground resources; recycling, space-related, and tank terminal business; manufacture and sale of iron and steel products; steel product processing and parts manufacturing; provision of maintenance services, as well as hydrogen, ammonia, biofuels, SAF, carbon solutions; development of liquefied natural gas (LNG) projects; and trading and marketing of LNG, oil, petroleum products, coal, uranium, and other energy resources. It also provides digital and power solutions; logistics, water, and social infrastructure services; gas and offshore services; intermediary services; gas and basic chemicals, and performance monomers; and material, electronics, natural capital, …
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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.