Nabtesco Corporation (NCTKY) Fair Value & Analysis
Industrials · US · Market cap $4.2B
Analysis
Nabtesco Corporation (NCTKY) currently trades at $15.69, while our model-based Fair Value estimate is $8.64 — implying the stock looks roughly 44.9% overvalued today. We read business quality at 90/100 (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: medium).
About the company
Nabtesco Corporation manufactures and sells industrial robot parts, construction machinery, railway vehicle brake systems, and automatic doors, aircraft parts, automobile brakes and drive controls, marine, and platform safety products in Japan and internationally. It offers precision reduction gear for component and gear head types; hydraulic equipment, such as traveling units for crawlers, control valves for mini excavators, and swing units for hydraulic excavators; railroad vehicle equipment, such as unit brakes, door operators, and brake operating units; and aircraft equipment comprising flight control actuation systems and high-voltage electric power distribution units. The company also provides air dryers and wedge brake chambers for commercial vehicles, and electric compressors for electric buses; marine vessel equipment; automatic doors and platform doors for buildings; prosthetic knee joints; rollators with speed control systems; and power assist units for wheelchairs. In ad…
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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.