NVE Corporation (NVEC) Fair Value & Analysis
Technology · US · Market cap $534M
Analysis
NVE Corporation (NVEC) currently trades at $96.52, while our model-based Fair Value estimate is $39.95 — implying the stock looks roughly 58.6% overvalued today. We read business quality at 97/100 (high quality), in the Technology 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
NVE Corporation develops and sells devices that use spintronics, a nanotechnology relying on electron spin to acquire, store, and transmit information in the United States. The company manufactures spintronic products, including sensors and couplers for use in sensing and transmitting data. Its products comprise standard sensors to detect the presence of a magnetic or metallic material to determine position, rotation, or speed for the factory automation market; and custom and medical sensors for medical devices to replace electromechanical magnetic switches. The company also offers spintronic couplers for power conversion, industrial Internet of Things (IIoT), and the Artificial Intelligence of Things (AIoT) markets; DC-to-DC converters for use in energy conversion systems and industrial networks for IIoT and AIoT. Additionally, it undertakes contracts for research and development and licenses spintronic magnetoresistive random access memory technology. The company sells its product…
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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.