Lantronix, Inc (LTRX) Fair Value & Analysis
Technology · US · Market cap $296M
Fair value as of: Jun 24, 2026
Analysis
Lantronix, Inc (LTRX) currently trades at $6.10, while our model-based Fair Value estimate is $1.80 — implying the stock looks roughly 70.5% 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
Lantronix, Inc. develops, markets, and sells industrial and enterprise internet of things (IoT) products and services in the Americas, Europe, the Middle East, Africa, and the Asia Pacific Japan. The company's embedded IoT solutions provides embedded products, including compute system-on-module and system-in-package solutions; and IoT compute products which offers application processing solutions for data transformation, computer vision, machine learning, augmented/virtual reality, and custom applications, as well as software tools for industrial automation, automotive systems, and smart city infrastructure. It also provides IoT Systems Solutions, which include wired and wireless connections which enhances modern electronic systems and equipment by providing secure network connectivity, power for IoT end devices through power over ethernet (PoE), application hosting, protocol conversion, media conversion, secure access for distributed IoT deployments, and other functions; PoE produc…
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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.