Ayala Land, Inc (AYAAY) Fair Value & Analysis
Real Estate · US · Market cap $3.6B
Analysis
Ayala Land, Inc (AYAAY) currently trades at $5.00, while our model-based Fair Value estimate is $12.50 — implying the stock looks roughly 150.0% undervalued today. We read business quality at 86/100 (high quality), in the Real Estate sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Ayala Land, Inc. operates as a property developer in the Philippines. The company operates through Property Developments, International, Shopping Centers, Offices, Industrial Real Estate, Hotels and Resorts, Construction, and Property Management and Other segments. It sells high-end and upper middle-income residential lots and units, affordable housing units and lots, and economic housing and leisure community developments; leases residential developments under joint venture; acquires, develops, and sells large-scale, mixed-use, and master-planned communities; and sells override units. The company also develops and sells residential lots and units. In addition, it develops shopping centers; leases retail space and land to third parties; operates movie theaters, food courts, entertainment facilities, gas stations, and car parking in shopping centers; manages and operates malls; develops, leases, and sells office buildings; sells industrial lots; and leases factory building. Further, …
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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.