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Cencosud S.A (CENCOSUD) Fair Value & Analysis

Consumer Cyclical · CL · Market cap 6.3T CLP

Price2,159 CLP
Fair Value2,718 CLP
Upside+25.9%
Quality89/100
Evidence: Medium Range 1,423 CLP – 3,945 CLP

Fair value as of: Jun 24, 2026

Analysis

Cencosud S.A (CENCOSUD) currently trades at 2,159 CLP, while our model-based Fair Value estimate is 2,718 CLP — implying the stock looks roughly 25.9% undervalued today. We read business quality at 89/100 (high quality), in the Consumer Cyclical 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

Cencosud S.A., together with its subsidiaries, operates as a retailer in Chile, Argentina, Brazil, Peru, Colombia, Uruguay, the United States, and China. It engages in the operation of supermarkets, hypermarkets, home improvement stores, retail stores, department stores, and shopping centers, as well as provision of financial services. The company was founded in 1963 and is based in Las Condes, Chile. Cencosud S.A. operates as a subsidiary of PK One Limited.

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Frequently asked questions

Is Cencosud S.A (CENCOSUD) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 2,718 CLP versus a price of 2,159 CLP — about +26% (undervalued). Model-based estimate, not financial advice.
What is the fair value of CENCOSUD?
Our 21-model fair value for Cencosud S.A is 2,718 CLP (as of Jun 24, 2026), built from audited fundamentals. The current price is 2,159 CLP.
What is the quality score of CENCOSUD?
Cencosud S.A has a Quality Score of 89/100, 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.