Oasis Crescent Property Fund (OAS) Fair Value & Analysis
Real Estate · ZA · Market cap 1.9B ZAC
Analysis
Oasis Crescent Property Fund (OAS) currently trades at 29.40 ZAC, while our model-based Fair Value estimate is 20.45 ZAC — implying the stock looks roughly 30.4% overvalued today. We read business quality at 97/100 (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
Oasis Crescent Property Fund is a well-diversified REIT invested in South African direct property investments, high quality global listed REITs and liquid instruments. The Fund is focused on meeting all tenant needs and maintaining world class facilities. The absence of debt and financial leverage delivers a more sustainable rate of growth during the normal course of operations but more importantly, the Fund is not exposed to the risk and negative effects of financial leverage during difficult times as we are currently experiencing. The objective of the Manager is to protect and grow the real wealth of investors by providing sustainable growth in Net Asset Value (NAV) and delivering a consistent income stream that has potential to grow. This objective is achieved through our diversification strategy and the active management of the direct property portfolio as covered in more detail under the Portfolio Overview section below. Our focused approach has delivered significant real wealt…
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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.