Semtech Corporation (SMTC) Fair Value & Analysis
Technology · US · Market cap $15.8B
Analysis
Semtech Corporation (SMTC) currently trades at $163.28, while our model-based Fair Value estimate is $21.93 — implying the stock looks roughly 86.6% 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: high).
About the company
Semtech Corporation provides semiconductor, Internet of Things systems, and cloud connectivity service solutions in the Asia- Pacific, North America, and Europe. The company operates in three segments: Signal Integrity, Analog Mixed Signal and Wireless, and IoT Systems and Connectivity. It provides signal integrity products, including a portfolio of optical and copper data communications and video transport products used in various infrastructure, and industrial applications; a portfolio of integrated circuits for data centers, enterprise networks, passive optical networks, wireless base station optical transceivers, and interface applications; and video products for broadcast applications, as well as video-over-IP technology for professional audio video applications. The company also offers analog mixed signal and wireless products; protection devices, such as filter and termination devices which protect electronic systems from voltage spikes; and designs, develops, manufactures, a…
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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.