Amada Co (AMDLY) Fair Value & Analysis
Industrials · US · Market cap $5.8B
Fair value as of: Jun 24, 2026
Analysis
Amada Co (AMDLY) currently trades at $74.66, while our model-based Fair Value estimate is $59.32 — implying the stock looks roughly 20.5% overvalued today. We read business quality at 94/100 (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
Amada Co., Ltd., together with its subsidiaries, develops, manufactures, sells, and provides services for various machines that process metals, resins, ceramics, and other materials in Japan, North America, Europe, Asia, and internationally. It offers sheet metal fabrication machines to cut, punch, bend, weld, and process metal sheets; metal cutting machines, which rotate tools affixed with saw blades to cut materials; structural steel machines, which cut and drill steel frames including H-shaped steel; and grinding machines for finishing of products required in the semiconductor industry, an emergent core industry, as well as in the automotive and aerospace industries. The company also provides micro welders, including laser welding and fine spot welding; micro laser markers; Stamping Press Automation Systems; Spring-Forming Machines; custom-made large press machine of 5,000kN and automation equipment; PCB drilling machines; and PCB laser processing machines. In addition, it is inv…
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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.