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Avnet, Inc (AVT) Fair Value & Analysis

Technology · US · Market cap $7.2B

Price$89.60
Fair Value$65.93
Upside-26.4%
Quality95/100
Evidence: High Range $39.49 – $95.53

Analysis

Avnet, Inc (AVT) currently trades at $89.60, while our model-based Fair Value estimate is $65.93 — implying the stock looks roughly 26.4% 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: high).

About the company

Avnet, Inc., distributes electronic component technology in the Americas, Europe, the Middle East, Africa, and Asia/Pacific. It operates through two segments, Electronic Components and Farnell. The company markets, sells, and distributes semiconductors; interconnect, passive, and electromechanical components; and other integrated and embedded components from electronic component manufacturers. It also offers design support that provides engineers with technical design solutions; engineering and technical resources to support product design, bill of materials development, and technical education and training; and supply chain solutions which provides support, warehousing, and logistics services to original equipment manufacturers, electronic manufacturing service providers, and electronic component manufacturers. In addition, the company provides embedded solutions, such as technical design, integration, and assembly of embedded products, systems, and solutions, as well as embedded d…

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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.