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NeuroPace, Inc (NPCE) Fair Value & Analysis

Healthcare · US · Market cap $533M

Price$15.92
Fair Value$2.51
Upside-84.2%
Quality95/100
Evidence: Low Range $1.88 – $3.14

Analysis

NeuroPace, Inc (NPCE) currently trades at $15.92, while our model-based Fair Value estimate is $2.51 — implying the stock looks roughly 84.2% overvalued today. We read business quality at 95/100 (high quality), in the Healthcare 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: low).

About the company

NeuroPace, Inc. operates as a medical device company in the United States. The company develops RNS system, a brain-responsive neuromodulation system that delivers personalized, real-time treatment at the seizure source for treating drug-resistant focal epilepsy. Its RNS System includes RNS neurostimulator, cortical strip and depth leads, and Patient Remote Monitor, as well as other implantable and non-implantable accessories. In addition, the company provides physician tablet which is used for prescribing and managing clinicians for programming implanted devices and managing patient care; and patient data management system, a secure online database that collects data that have been recorded by the RNS System; and nSight Platform, which provide clinicians with personalized patient reports, as well as programming suggestions. It sells its products to hospital facilities for initial RNS System implant procedures and for replacement procedures. NeuroPace, Inc. was incorporated in 1997 …

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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.