Penguin Solutions, Inc (PENG) Fair Value & Analysis
Technology · US · Market cap $3.8B
Analysis
Penguin Solutions, Inc (PENG) currently trades at $66.96, while our model-based Fair Value estimate is $13.50 — implying the stock looks roughly 79.8% overvalued today. We read business quality at 94/100 (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
Penguin Solutions, Inc. designs, builds, deploys and manages enterprise solutions worldwide. The company operates through three segments: Advanced Computing, Integrated Memory, and Optimized LED. It offers hardware, software, and services focusing on technical computing for core and cloud environments through high-performance computing and AI solutions under the Penguin Solutions, Penguin Computing, Stratus, and Penguin Edge brands. The company also provides Penguin Solutions OriginAI, an AI infrastructure solution for customers deploying GPUs at scale; continuous availability of customers critical data and applications in data centers and edge locations under the Stratus brand products; and dynamic random-access memory, modules, solid-state/flash storage, and other integrated memory solutions to networking and telecom, data analytics, AI, and ML under the SMART Modular Technologies brand. In addition, it provides Zefr, a memory module; Altus and AMD EPYC based servers for expansive…
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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.