PowerFleet, Inc (AIOT) Fair Value & Analysis
Technology · US · Market cap $549M
Analysis
PowerFleet, Inc (AIOT) currently trades at $3.85, while our model-based Fair Value estimate is $6.81 — implying the stock looks roughly 76.9% undervalued today. We read business quality at 94/100 (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
PowerFleet, Inc. provides artificial intelligence-of-things (AIoT) solutions in North America, Israel, Africa, Europe, the Middle East, Australia, and internationally. Its unity solution portfolio includes unity platform that enables integration with AIoT devices and third-party business systems to a data highway that powers artificial intelligence-driven insights to help customers save lives, time, and money; software as a service based unity modules, which comprises vehicle, video, and in-warehouse IoT for customers to gain visibility and AI-powered insights into their people, assets, and business processes to manage utilization and maintenance, safety, fuel and energy management, and compliance and high-risk incidents; and open application programming interfaces for additional integrations and development to enhance other enterprise management systems and third-party applications. The company also provides hosting, maintenance, and customer support and consulting services; and so…
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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.