Quiñenco SA (QUINENCO) Fair Value & Analysis
Energy · CL · Market cap 6.5T CLP
Analysis
Quiñenco SA (QUINENCO) currently trades at 3,880 CLP, while our model-based Fair Value estimate is 6,956 CLP — implying the stock looks roughly 79.3% undervalued today. We read business quality at 80/100 (high quality), in the Energy 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
Quiñenco SA, a business conglomerate, operates in the industrial and financial services sectors in Chile and internationally. It provides banking and financial products such as loans and deposits to individuals and large corporations through traditional channels, web platforms, and mobile applications. The company produces and sells beverages, including beer, soft drinks, mineral and bottled waters, nectars, wine and pisco, as well as non-alcoholic beverages, spirits, ciders, and sparkling wines; and manufactures and sells cables. In addition, the company distributes fuels and lubricants to transport, mining, and power generation sectors; operates convenience store and service stations under the Shell license, and 224 upa!, up¡ta and upa! market. Further, it offers containerized freight transport services; and towage and air logistics services. The company was formerly known as Forestal Quiñenco S.A. and changed its name to Quiñenco SA in October 1996. Quiñenco SA was incorporated i…
Open the full interactive analysis →
Similar stocks
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.