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Viña San Pedro Tarapacá S.A (VSPT) Fair Value & Analysis

Consumer Defensive · CL · Market cap 166B CLP

Price4.00 CLP
Fair Value8.23 CLP
Upside+105.8%
Quality95/100
Evidence: High Range 5.40 CLP – 10.80 CLP

Fair value as of: Jun 25, 2026

Analysis

Viña San Pedro Tarapacá S.A (VSPT) currently trades at 4.00 CLP, while our model-based Fair Value estimate is 8.23 CLP — implying the stock looks roughly 105.8% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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: high) — always confirm before acting.

About the company

Viña San Pedro Tarapacá S.A. produces and sells wines in Chile, Argentina, and internationally. It sells its products under the Altair, Cabo de Hornos, Sideral, Tierras Moradas, Kankana del Elqui, 1865, Tayu 1865, GatoNegro, 9 Lives, Epica, Castillo de Molina, Gran Reserva Tarapaca, Leyda, Misiones de Rango, Santa Helena, Alpaca, Viñamar, La Celia, Graffigna, and B-LIV brands. The company was founded in 1865 and is based in Santiago, Chile. Viña San Pedro Tarapacá S.A. operates as a subsidiary of CCU Inversiones S.A.

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Frequently asked questions

Is Viña San Pedro Tarapacá S.A (VSPT) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 8.23 CLP versus a price of 4.00 CLP — about +106% (undervalued). Model-based estimate, not financial advice.
What is the fair value of VSPT?
Our 21-model fair value for Viña San Pedro Tarapacá S.A is 8.23 CLP (as of Jun 25, 2026), built from audited fundamentals. The current price is 4.00 CLP.
What is the quality score of VSPT?
Viña San Pedro Tarapacá S.A has a Quality Score of 95/100, 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.