Goodman Group (GMGSF) Fair Value & Analysis
Real Estate · US · Market cap $44.4B
Analysis
Goodman Group (GMGSF) currently trades at $21.70, while our model-based Fair Value estimate is $4.84 — implying the stock looks roughly 77.7% overvalued today. We read business quality at 95/100 (high quality), in the Real Estate 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
Goodman Group is a provider of essential infrastructure. It owns, develops and manages high quality, sustainable logistics properties and data centres in major global cities, that are critical to the digital economy. Goodman has operations in key consumer markets across Australia, New Zealand, Asia, Europe, the United Kingdom, and the Americas. Goodman Group, comprised of the stapled entities Goodman Limited, Goodman Industrial Trust and Goodman Logistics (HK) Limited, is the largest property group on the Australian Securities Exchange, a top 20 entity by market capitalisation, and one of the largest listed specialist investment managers of industrial property globally The Group's property portfolio includes logistics and distribution centres, data centres, warehouses, light industrial, multi-storey industrial, and business parks. Goodman takes a long-term view, investing significantly alongside its capital Partners in its investment management platform and concentrating the portfol…
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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.