iOThree Limited (IOTR) Fair Value & Analysis
Communication Services · US · Market cap $8.0M
Fair value as of: Jun 24, 2026
Analysis
iOThree Limited (IOTR) currently trades at $3.00, while our model-based Fair Value estimate is $2.28 — implying the stock looks roughly 24.0% overvalued today. We read business quality at 91/100 (high quality), in the Communication Services 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: low).
About the company
iOThree Limited provides maritime digital technologies, satellite connectivity, and digitalization solutions to the maritime industry. The company operates through two segments, Satellite Connectivity Solution, and Digitalization and Other Solutions. It provides satellite connectivity services; and sales and/or leases satellite network equipment and devices for shipboard network management; IT support; shipboard support services for IT and OT applications enablement services, as well as designs digital solutions. The company also offers satellite communications and software solutions. In addition, it provides Just A Really Very Intelligent System (JARVISS) platform that support integrated solutions, asset optimization, and delivery of secured critical applications; and portfolio of digital solutions consist of V.Suite solutions, such as V.SIGHT AI camera surveillance, V.SION AR smart glasses, V.IoT shipboard monitoring and analytics, V.SECURE cybersecurity, and V.WEATHER route optim…
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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.