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CRESY (CRESY) Fair Value & Analysis

Industrials · US · Market cap $827M

Price$11.27
Fair Value$16.13
Upside+43.1%
Quality80/100
Evidence: Medium Range $12.10 – $20.16

Analysis

CRESY (CRESY) currently trades at $11.27, while our model-based Fair Value estimate is $16.13 — implying the stock looks roughly 43.1% undervalued today. We read business quality at 80/100 (high quality), in the Industrials 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

Cresud Sociedad Anónima, Comercial, Inmobiliaria, Financiera y Agropecuaria, an agricultural company, engages in the production of agricultural commodities in Brazil and other Latin American countries. The company operates through Agricultural Business, and Business Urban Properties and Investments segments. It is also involved in the management, development, and ownership of shopping malls, office buildings, and hotels; sale of grain derivatives, such as flour and oil; production and sale of crops, such as soybean, sugarcane, wheat, corn, oilseed, and sunflower, as well as sorghum and peanuts; and breeding, purchasing, and/or fattening of cattle for sale to slaughterhouses and supermarkets. In addition, it leases its farms to third parties for agriculture, cattle breeding, and seed production; and offers agricultural services. The company was incorporated in 1936 and is headquartered in Buenos Aires, Argentina.

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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.