Wolfspeed, Inc (WOLF) Fair Value & Analysis
Technology · US · Market cap $3.0B
Fair value as of: Jun 23, 2026
Analysis
Wolfspeed, Inc (WOLF) currently trades at $52.97, while our model-based Fair Value estimate is $39.18 — implying the stock looks roughly 26.0% 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
Wolfspeed, Inc., a semiconductor company, focuses on silicon carbide and gallium nitride (GaN) technologies in Europe, Hong Kong, China, rest of Asia Pacific, the United States, and internationally. The company offers silicon carbide and GaN materials, including silicon carbide bare wafers, epitaxial wafers, and GaN epitaxial layers on silicon carbide wafers to manufacture products for RF, power, and other applications. It also provides power devices, such as silicon carbide Schottky diodes, metal oxide semiconductor field effect transistors (MOSFETs), and power modules for customers and distributors to use in applications, including electric vehicles comprising charging infrastructure, server power supplies, solar inverters, uninterruptible power supplies, industrial power supplies, and other applications. The company was formerly known as Cree, Inc. and changed its name to Wolfspeed, Inc. in October 2021. Wolfspeed, Inc. was founded in 1987 and is headquartered in Durham, North Ca…
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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.