MAHLE Metal Leve S.A (LEVE3) Fair Value & Analysis
Consumer Cyclical · BR · Market cap R$4.3B
Fair value as of: Jun 25, 2026
Analysis
MAHLE Metal Leve S.A (LEVE3) currently trades at R$32.70, while our model-based Fair Value estimate is R$78.65 — implying the stock looks roughly 140.5% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
MAHLE Metal Leve S.A., an automotive parts company, manufactures and sells components for internal combustion engines and automotive filters in South America, Europe, Central and North America, Africa, and internationally. It operates through Powertrain and Charging, and Thermal and Fluid Systems segments. The company offers drive systems and power electronics for electric powertrains; piston systems, cylinder components, valve trains, air conditioning, engine cooling, air management, engine cooling, oil management; and power electronics for traction drives for passenger cars, as well as electric drive and mechatronic systems for industrial applications, agricultural and construction machinery, commercial vehicles, industrial vehicles, electric transport vehicles, and the automotive industry, as well as industrial and special vehicles; and large and small engine equipment. It provides climatic wind tunnels, engine testing, engineering, module testing, thermal management, and transmi…
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Frequently asked questions
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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.