IRSA Propiedades Comerciales S.A (IRCP) Fair Value & Analysis
Real Estate · AR · Market cap 69.8B ARS
Fair value as of: Jun 26, 2026
Analysis
IRSA Propiedades Comerciales S.A (IRCP) currently trades at 128.90 ARS, while our model-based Fair Value estimate is 39.33 ARS — implying the stock looks roughly 69.5% overvalued today. We read business quality at 84/100 (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
IRSA Propiedades Comerciales S.A. operates as an investment arm of IRSA Inversiones y Representaciones S.A. Alto Palermo S.A. engages in the ownership, acquisition, development, leasing, management, and operation of shopping centers, as well as residential and commercial complexes in Argentina. As of June 30, 2007, it owned and operated ten shopping centers covering a total of 264,995 square meters in Argentina, including six in the Buenos Aires metropolitan area and four in the provinces of Cordoba, Mendoza, Salta, and Santa Fe; and a condominium called Torres de Abasto located in front of the Abasto Shopping Center in Buenos Aires. The company offers leases to retail tenants in its ten shopping centers; administration and maintenance of common areas; administration of contributions made by tenants to finance promotional efforts for the shopping centers; and parking lot services for visitors. The company also offers credit card consumer finance service, through the issuance of its …
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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.