Hubify Limited (HFY) Fair Value & Analysis
Communication Services · AU · Market cap A$5.7M
Fair value as of: Jun 26, 2026
Analysis
Hubify Limited (HFY) currently trades at A$0.0100, while our model-based Fair Value estimate is A$0.0100 — implying the stock looks roughly 0.0% undervalued today. We read business quality at 92/100 (high quality), in the Communication Services 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
Hubify Limited engages in the sale, customization, and integration of IT and telecommunications systems in Australia. It offers voice, data, and various value-added services; manages technology products and services for customers; maintains IT and telecommunications systems; and sells hardware and software products through the internet. The company also provides hosted voice solutions, including hosted VOIP phone systems, inbound services, Microsoft teams solutions for calls, messaging, calendar management, video conferences, and internet and on-premise infrastructure solutions; and mobility solutions, such as mobile voice, mobile data, 5g fixed wireless, roaming, enterprise mobility solutions, 5g redundancy, machine-to-machine, as well as sim services. In addition, it offers internet services comprising WANs, direct internet NBN, and fibre services; managed desktop and networks, procurement, maintenance and monitoring, and consultancy, as well as cloud solutions; and cyber security…
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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.