Westell Technologies, Inc (WSTL) Fair Value & Analysis
Technology · US · Market cap $74.5M
Fair value as of: Jun 25, 2026
Analysis
Westell Technologies, Inc (WSTL) currently trades at $7.32, while our model-based Fair Value estimate is $13.42 — implying the stock looks roughly 83.3% 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: medium) — always confirm before acting.
About the company
Westell Technologies, Inc., through its subsidiary, designs, manufactures, and distributes telecommunications solutions to telephone companies in the United States. It operates through three segments: In-Building Wireless, Intelligent Site Management, and Communications Network Solutions. The company offers class A repeaters, class B repeaters, VHF/UHF repeaters, public safety distributed antenna systems, and battery backup units; and passive signal distribution, attenuation solutions, protection products, and antennas for public safety and cellular coverage in stadiums, arenas, malls, buildings, and other indoor areas. It also provides a suite of remote units, which provide machine-to-machine communications that enable operators to remotely monitor, manage, and control physical site infrastructure and support systems; and support and deployment services. In addition, the company offers various hardened network infrastructure products comprising integrated cabinets, power distributi…
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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.