Macquarie Technology Group (MAQ) Fair Value & Analysis
Technology · AU · Market cap A$2.0B
Fair value as of: Jun 24, 2026
Analysis
Macquarie Technology Group (MAQ) currently trades at A$72.72, while our model-based Fair Value estimate is A$24.53 — implying the stock looks roughly 66.3% overvalued today. We read business quality at 95/100 (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: medium).
About the company
Macquarie Technology Group Limited provides telecommunication, cloud computing, cybersecurity, and data center services to corporate and government customers in Australia. The company offers voice services, such as teams calling, unified communications, and video and Web conferencing services, as well as Hello, a cloud-based hosted voice system; SASE that delivers up-to date attack protection in real time; SD-WAN, Azure, enterprise ethernet, SD-LAN, fleet management tools, and network agnostics and local support services; public, hybrid, and private cloud services; and managed, disaster recovery, data backup, cyber security, and colocation services. It also provides managed, disaster recovery, data backup, cyber security colocation, connectivity, and engineering services. The company was formerly known as Macquarie Telecom Group Limited and changed its name to Macquarie Technology Group Limited in May 2023. Macquarie Technology Group Limited was incorporated in 1992 and is headquart…
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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.