MAAS Group (MGH) Fair Value & Analysis
Industrials · AU · Market cap A$1.9B
Fair value as of: Jun 24, 2026
Analysis
MAAS Group (MGH) currently trades at A$5.27, while our model-based Fair Value estimate is A$3.62 — implying the stock looks roughly 31.3% overvalued today. We read business quality at 91/100 (high quality), in the Industrials 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: high).
About the company
MAAS Group Holdings Limited, together with subsidiaries, engages in the provision of construction materials to the civil infrastructure, renewable energy, building and construction, and mining sectors. It operates through Construction Materials, Civil Construction and Hire, Residential Real Estate, Commercial Real Estate, and Manufacturing segments. The Construction Materials segment supplies quarry materials, aggregates, and pre-mix concrete; offers mobile crushing and screening services for quarries, civil works, and mining; provides geotechnical services, including geological engineering, drilling, and testing; transport and logistics services; asphalt services; and quarry excavation services. The Civil Construction and Hire segment engages in the construction of civil infrastructure, roads, dams, renewables, and mining infrastructure, as well as provides electrical infrastructure, transmission and distribution, communications, and specialised services. The Residential Real Estat…
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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.