NN, Inc (NNBR) Fair Value & Analysis
Industrials · US · Market cap $147M
Fair value as of: Jun 26, 2026
Analysis
NN, Inc (NNBR) currently trades at $2.68, while our model-based Fair Value estimate is $0.2900 — implying the stock looks roughly 89.2% overvalued today. We read business quality at 95/100 (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
NN, Inc., together with its subsidiaries, designs, manufactures, and sells high-precision components and assemblies for various end markets in the United States, China, Brazil, Mexico, Germany, Poland, and internationally. The company operates through two segments, Mobile Solutions and Power Solutions. The Mobile Solutions segment manufactures and sells system critical components for automotive, general industrial, and medical end markets for use in power steering, braking, transmissions, gasoline fuel system, diesel injection, and diesel emissions treatment applications, as well as in heating, ventilation, and air conditioning. Its Power Solutions segment designs, manufactures, and sells a range of high-precision metal and plastic components, assemblies, and finished devices used in various applications, such as power control and transportation electrification. The company's products include electrical contacts, connectors, contact assemblies, and precision stampings for the electr…
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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.