Netlist, Inc (NLST) Fair Value & Analysis
Technology · US · Market cap $950M
Fair value as of: Jun 23, 2026
Analysis
Netlist, Inc (NLST) currently trades at $2.83, while our model-based Fair Value estimate is $1.41 — implying the stock looks roughly 50.2% overvalued today. We read business quality at 95/100 (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: low).
About the company
Netlist, Inc. designs, manufactures, and markets memory subsystems for the server, high-performance computing, and communications markets in the United States and internationally. The company portfolio of proprietary technologies and design techniques includes planar design, alternative packaging techniques, and custom semiconductor logic to deliver memory subsystems; and sells specialty memory modules and flash-based products for use in data center and industrial applications. It resells component products, including solid state drive (SSD), dynamic random-access memory, NAND flash, and dual inline memory module (DIMM) to storage customers, appliance customers, system builders, and cloud and datacenter customers; and sells component inventory to distributors and other users of memory integrated circuits. The company markets and sells its products through a direct sales force and a network of independent sales representatives. Netlist, Inc. was incorporated in 2000 and is headquarte…
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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.