XPON Technologies Group (XPN) Fair Value & Analysis
Technology · AU · Market cap A$4.9M
Fair value as of: Jun 26, 2026
Analysis
XPON Technologies Group (XPN) currently trades at A$0.0090, while our model-based Fair Value estimate is A$0.0100 — implying the stock looks roughly 11.0% 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: medium) — always confirm before acting.
About the company
XPON Technologies Group Limited provides software solutions to corporate and enterprises in Australia and the United Kingdom. It offers Wondaris, a customer data platform for marketers that centralizes customer and marketing data; Holoscribe, an extended reality platform that enables users with no specialised skills to publish XR and 360 content in various channels; Google Cloud Platform, a scalable platform that provides computing, storage, and analytics for marketing and CX; and Google Marketing Platform, an online advertising and analytics platform to manage media spend. The company also provides project consulting and manage support services; and digital transformation, first-party data strategies, marketing analytics, Al for marketing, and marketing technology optimisation. It serves its products to retail and travel, financial services, media and entertainment, and education industries. XPON Technologies Group Limited was incorporated in 2019 and is based in Brisbane, Australia.
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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.