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São Martinho S.A (SMTO3) Fair Value & Analysis

Basic Materials · BR · Market cap R$5.4B

PriceR$14.77
Fair ValueR$33.52
Upside+126.9%
Quality97/100
Evidence: High Range R$20.41 – R$58.90

Analysis

São Martinho S.A (SMTO3) currently trades at R$14.77, while our model-based Fair Value estimate is R$33.52 — implying the stock looks roughly 126.9% undervalued today. We read business quality at 97/100 (high quality), in the Basic Materials 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

São Martinho S.A., together with its subsidiaries, engages in the production and sale of sugar, ethanol, and other sugarcane byproducts in Brazil. The company operates through Sugar, Ethanol, Corm Ethanol, Electric Power, Real Estate Businesses, Yeast, and Other Products segment. It offers a range of raw sugar; hydrated ethanol, which is used in tanks of cars powered by ethanol; anhydrous ethanol that is used as a gasoline additive in gasoline-powered vehicles; and industrial ethanol, which is primarily used in the production of paints, cosmetics, and alcoholic beverages. The company also generates electricity from sugarcane bagasse; provides byproducts, including yeast used in animal feed; offers fusel oil used as a solvent and pure amyl ethanol; and SMartLiO, a substitute for soybean oil used in the production of biofuels, paint, and chemicals, as well as Dried Distillers Grains with Solubles, an animal nutrition for ruminants, pigs, horses, birds, fish, and pets. In addition, it …

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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.