Itron, Inc (ITRI) Fair Value & Analysis
Technology · US · Market cap $3.6B
Analysis
Itron, Inc (ITRI) currently trades at $81.10, while our model-based Fair Value estimate is $116.14 — implying the stock looks roughly 43.2% 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: high) — always confirm before acting.
About the company
Itron, Inc., a technology, solutions, and service company, provides end-to-end solutions that help manage energy, water, and smart city operations worldwide. It operates in four segments: Device Solutions, Networked Solutions, Outcomes, and Resiliency Solution. The Device Solutions segment offers hardware products that are used for measurement, control, or sensing, such as standard gas, electricity, water, and communicating meters, as well as heat and allocation products. The Networked Solutions segment provides communicating devices, such as smart meters, modules, endpoints, and sensors; network infrastructure; network design services; and associated heat-end management and application software for acquiring and transporting application-specific data. This segment also products and software for the implementation, installation, and management of communicating devices and data networks; offers industrial internet of things solutions, including automated meter reading; advanced meter…
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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.