Nifco Inc (NIFCY) Fair Value & Analysis
Consumer Cyclical · US · Market cap $2.5B
Analysis
Nifco Inc (NIFCY) currently trades at $13.23, while our model-based Fair Value estimate is $26.00 — implying the stock looks roughly 96.5% undervalued today. We read business quality at 96/100 (high quality), in the Consumer Cyclical 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
Nifco Inc. manufactures and sells industrial plastic parts and components in Japan, Asia, North America, China, South Korea, the United States, and Europe. The company offers driver assistance systems, exterior, interiors, power train, and engine/fuel/transmission products for automobile; and products for motorcycle. It also offers household equipment, such as drawer closers, push latches, earthquake-proof latches, and door dampers; consumer electronics/office automation products that include dampers, free-stop hinges, push latches, and one-way clutches; and fashion/sport products, such as side release buckles, cord locks, and other buckles. In addition, the company provides buckles, fasteners, and speed lace systems; and manufactures and sells beds, as well as imports and sells furniture. Further, it operates automobile and motorcycle online showroom. The company was formerly known as Japan Industry Fastener Inc. and changed its name to Nifco Inc. in December 1970. Nifco Inc. was i…
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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.