SMC Corporation (SMCAY) Fair Value & Analysis
Industrials · US · Market cap $29.1B
Analysis
SMC Corporation (SMCAY) currently trades at $21.93, while our model-based Fair Value estimate is $13.93 — implying the stock looks roughly 36.5% overvalued today. We read business quality at 97/100 (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
SMC Corporation manufactures, processes, and sells automatic control equipment worldwide. The company offers air management system, directional control valves, air cylinders, rotary actuators, air grippers, magnet grippers, electric actuators/cylinders, vacuum equipment, air grippers for collaborative robots, compact compressor, air preparation equipment, modular F.R.L., pressure control equipment, booster regulators, lubrication equipment, gas generator, fittings and tubing, flow control equipment, speed controllers, silencers/exhaust cleaners/pressure gauges, air blowing equipment, switches/sensors/controllers, static neutralization equipment/ionizers, industrial device communication equipment/wireless system, process valves, chemical valves/fittings & tubing/needle valves, process pumps/diaphragm pumps, temperature control equipment, process gas equipment ap tech, high vacuum equipment, industrial filters/sintered metal elements, pneumatic instrumentation equipment, hydraulic equ…
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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.