Synaptics Incorporated (SYNA) Fair Value & Analysis
Technology · US · Market cap $5.5B
Analysis
Synaptics Incorporated (SYNA) currently trades at $134.41, while our model-based Fair Value estimate is $23.08 — implying the stock looks roughly 82.8% 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: medium).
About the company
Synaptics Incorporated develops, markets, and sells semiconductor products worldwide. The company provides touch, display, biometrics, voice, audio, processor, wireless, and multimedia products for mobile, personal computers, smart home, industrial, and automotive applications, as well as modular development kits, open software frameworks, and optimized AI/ML toolchains. It also offers Wi-Fi, Bluetooth, Bluetooth Low Energy, Zigbee, Thread, Matter, global positioning system, global navigation satellite system, ultra-wideband and ultra-low energy solutions, human interface products, organic light-emitting diodes, multimedia SoCs, fax/modem/printer processors, video interface ICs, DisplayLink graphics, and display driver ICs (DDIC); Astra and Veros, an AI solution; and DisplayLink and DisplayPort to simplify connectivity to external displays. In addition, it provides Natural ID, a fingerprint ID product for notebook, personal computer peripherals, automobiles, and other applications, …
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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.