Kepler Weber S.A (KEPL3) Fair Value & Analysis
Industrials · BR · Market cap R$1.1B
Fair value as of: Jun 25, 2026
Analysis
Kepler Weber S.A (KEPL3) currently trades at R$6.60, while our model-based Fair Value estimate is R$14.03 — implying the stock looks roughly 112.6% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Kepler Weber S.A. provides grain storage equipment and post-harvest grain solutions in Brazil, the Americas, Africa, Europe, and Asia. It operates through five segments: Farms, Agroindustry, Ports and Terminals, Replacement and Services, and International Business. The company offers grain storage and preservation systems, such as silos, dryers and conveyors, and cleaning machines. It also provides equipment for agricultural commodities, such as corn ethanol, soybean oil, animal feed, wheat mills, rice industries, cooperative complexes, cereal producers, and seedbeds; industrial equipment; and port terminals. In addition, the company offers spare parts and technical assistance services; technical engineering and data processing services; engineering risk insurance services; and grain temperature and moisture monitoring services in the processing and storage process. Additionally, it imports and exports raw materials and finished and semifinished goods. The company was founded in 192…
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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.