Sequans Communications S.A (SQNS) Fair Value & Analysis
Technology · US · Market cap $44.2M
Fair value as of: Jun 25, 2026
Analysis
Sequans Communications S.A (SQNS) currently trades at $3.07, while our model-based Fair Value estimate is $5.71 — implying the stock looks roughly 86.0% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
Sequans Communications S.A., together with its subsidiaries, engages in the fabless design, development, and supply of cellular semiconductor solutions for mass and broadband internet of things markets. It offers baseband solutions for use in encoding and decoding data based on 4G and 5G protocols for wireless processing platforms for a cellular device; RF transceivers used to transmit and receive wireless transmissions; highly integrated system-on-chip solutions that combine various functions into a single die or package; and LTE modules. The company also provides software, including tools to enable manufacturers to integrate solutions into their devices; and design support services. In addition, it provides AI-connected applications, including smart energy metering, industrial automation, smart mobility and logistics, secure payments, e-health, and smart home solutions. It serves OEMs and ODMs customers, as well as 4G and 5G wireless carriers. The company operates in China, Taiwan…
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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.