Eddy Smart Home Solutions Ltd (ESHSF) Fair Value & Analysis
Technology · US · Market cap $6.1M
Fair value as of: Jun 23, 2026
Analysis
Eddy Smart Home Solutions Ltd (ESHSF) currently trades at $1.00, while our model-based Fair Value estimate is $1.36 — implying the stock looks roughly 36.0% 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
Eddy Smart Home Solutions Ltd. Provides and develops commercial and residential smart water metering products and monitoring services in the United States and Canada. The company operates through three segments: Multi-Family Residences, Single family Residence, and Commercial and Industrial. It helps property owners to protect, control, and conserve water usage by combining water sensing devices with behavioral learning software. The company offers suite of products, such as Eddy IQ that provides automatic meter reading, remote valve shutdown, and machine learning to measure flow, detect leaks, and bill customers for water consumption; Eddy H2O sensors monitor for the presence of water and built-in temperature and humidity sensor; Eddy Valve to protect buildings from water damage; Eddy Link, real-time, digital communication and analytics, measuring minute by minute water usage and identifying leaks and water issues; Eddy Gateway, communication device provides a robust LoraWAN commun…
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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.