ikeGPS Group (IKE) Fair Value & Analysis
Technology · AU · Market cap A$198M
Fair value as of: Jun 24, 2026
Analysis
ikeGPS Group (IKE) currently trades at A$1.05, while our model-based Fair Value estimate is A$0.4000 — implying the stock looks roughly 61.9% overvalued today. We read business quality at 97/100 (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: low).
About the company
ikeGPS Group Limited, together with its subsidiaries, engages in the design, sale, and delivery of a solution for the collection, analysis, and management of distribution assets for electric utilities and communications companies in the United States. The company provides IKE Office Pro, a cloud software to measure, manage, and export pole data from the IKE device; IKE PoleForeman, an application for electric utilities and communication companies for performing pole load analysis; IKE Device; PolePilot, an AI-powered pole imagery analysis assistant; and IKE Insight, an artificial intelligence and machine learning engine to gain pole insights at scale. It also offers IKE Analyze for heights of attachment, pole load analysis, and make ready recommendations; NESC and OSHA training classes; and IKE University for pole audit and analysis training. The company was formerly known as Surveylab Group Limited and changed its name to ikeGPS Group Limited in October 2013. ikeGPS Group Limited w…
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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.