MISUMI Group (MSSMY) Fair Value & Analysis
Industrials · US · Market cap $6.4B
Fair value as of: Jun 24, 2026
Analysis
MISUMI Group (MSSMY) currently trades at $12.00, while our model-based Fair Value estimate is $10.55 — implying the stock looks roughly 12.1% overvalued today. We read business quality at 96/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
MISUMI Group Inc., together with its subsidiaries, engages in the factory automation, die components, and VONA businesses in Japan, China, rest of Asia, the United States, Europe, and internationally. It operates in three segments: Factory Automation (FA) Business, Die Components Business, and Variation & One-stop by New Alliance (VONA) Business. The company offers standardized mechanical components, including shafts, timing pulleys, linear bushings, flat belt conveyors, set collars, locating pins, gears, and couplings; and locator devices and measurement equipment comprising automatic stage units, actuators, optical measurement devices, and optical experimental equipment. It also provides standardized metal press and plastic mold components, such as punches, button dies, ejector pins, and sprue bushings. In addition, the company distributes mechanical components, including sensors and switches, pipe fittings, and castors, as well as screws, bolts, and nuts; connectors, switches, ca…
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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.