GSI Technology, Inc (GSIT) Fair Value & Analysis
Technology · US · Market cap $290M
Fair value as of: Jun 24, 2026
Analysis
GSI Technology, Inc (GSIT) currently trades at $6.87, while our model-based Fair Value estimate is $6.41 — implying the stock looks roughly 6.7% 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: low).
About the company
GSI Technology, Inc. designs, develops, and markets semiconductor memory solutions for networking, industrial, test equipment, medical, aerospace, and military customers in the United States, China, Singapore, Germany, the Netherlands, and internationally. It offers associative processing unit products, which focuses on applications using similarity search in visual search queries for e-commerce, computer vision, drug discovery, cyber security, and service markets. The company also provides static random-access memory (SRAM) products, including SyncBurst, NBT, SigmaQuad, and SigmaDDR. In addition, it offers radiation-hardened and radiation-tolerant SRAMs for military/defense and aerospace applications, such as networking satellites and missiles. The company's products are used as components in the original equipment manufacturer customers' products, including routers, switches, and other networking and telecommunications products; military and aerospace applications, including radar…
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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.