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DEXUS (DEXSF) Fair Value & Analysis

Real Estate · US · Market cap $4.3B

Price$3.80
Fair Value$2.78
Upside-26.9%
Quality95/100
Evidence: High Range $1.52 – $3.33

Analysis

DEXUS (DEXSF) currently trades at $3.80, while our model-based Fair Value estimate is $2.78 — implying the stock looks roughly 26.9% 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

DEXUS is a leading Australasian fully integrated real asset group, managing a high-quality Australasian real estate and infrastructure portfolio valued at 51.5 billion dollars. The Dexus Platform includes the Dexus listed portfolio and the funds management business. The 15.3 billion dollars listed portfolio includes direct and indirect ownership of office, industrial, retail, healthcare, infrastructure, alternatives and other investments. We manage a further 36.2 billion dollars investment in our funds management business which connects third party capital with exposure to quality sector specific and diversified real asset products. The funds within this business have a strong track record of delivering performance and benefit from Dexus's Platform capabilities. The Platform's 11.5 billion dollars real estate development pipeline provides the opportunity to grow both the listed and funds' portfolios and enhance future returns. We are deeply connected to our purpose; unlock potential…

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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.