Mitsui Matsushima Holdings (MTSMF) Fair Value & Analysis
Energy · US · Market cap $333M
Fair value as of: Jun 24, 2026
Analysis
Mitsui Matsushima Holdings (MTSMF) currently trades at $9.00, while our model-based Fair Value estimate is $12.14 — implying the stock looks roughly 34.9% undervalued today. We read business quality at 97/100 (high quality), in the Energy 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 Matsushima Holdings Co., Ltd., through its subsidiaries, engages in the consumer goods, industrial products, and energy business in Japan and internationally. The company operates, generates, and sells solar power to electric power companies. The company offers produces and sells drinking straws and food containers; office equipment centering on shredders; sells pet foods and related products; sells of hardware and plastic products for housing and furniture; and sells roll products, such as recording paper for register rolls. It provides mask blanks for liquid crystal panels, organic EL and electronic components; measurement devices and production facilities for crystal devices and related hardware and software; insulator strings and metal fittings; food processing machines; sells power transmission chains and conveyer chains; sells industrial roller chains; real estate lending for business operators and real estate brokerages; engages in holding, investment, management, and …
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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.