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Garda Property Group (GDF) Fair Value & Analysis

Real Estate · AU · Market cap A$205M

PriceA$1.05
Fair ValueA$0.2400
Upside-77.1%
Quality95/100
Evidence: Medium Range A$0.2400 – A$0.2400

Fair value as of: Jun 26, 2026

Analysis

Garda Property Group (GDF) currently trades at A$1.05, while our model-based Fair Value estimate is A$0.2400 — implying the stock looks roughly 77.1% 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: medium).

About the company

Garda Property Group (Garda) is an industrial real estate investor, developer and active manager with investments predominately in Brisbane. As at 30 June 2024, Garda had 509 US dollars million of investments between industrial properties (83%) and commercial office properties (17%).

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Frequently asked questions

Is Garda Property Group (GDF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.2400 versus a price of A$1.05 — about −77% (overvalued). Model-based estimate, not financial advice.
What is the fair value of GDF?
Our 21-model fair value for Garda Property Group is A$0.2400 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$1.05.
What is the quality score of GDF?
Garda Property Group has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.