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Mills Locação, Serviços e Logística S.A (MILS3) Fair Value & Analysis

Industrials · BR · Market cap R$3.5B

PriceR$15.38
Fair ValueR$22.94
Upside+49.2%
Quality95/100
Evidence: High Range R$14.20 – R$39.44

Analysis

Mills Locação, Serviços e Logística S.A (MILS3) currently trades at R$15.38, while our model-based Fair Value estimate is R$22.94 — implying the stock looks roughly 49.2% 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

Mills Locação, Serviços e Logística S.A. operates as a machinery and equipment rental company in Brazil. It rents, sells, imports, and exports steel and aluminum tubular structures, shoring and access equipment for civil construction works, and reusable concrete forms. The company also develops related engineering projects and provides supervisory and optional assembly services. Additionally, it sells, rents, and distributes elevating work platforms, related parts, new, and used cars. It also offers heavy machinery, backhoe, compact rollers, skid steer loaders, tugs, generators, compressors, crawler and agricultural tractors, excavators, wheel loaders, motor graders, forklifts, and pallet trucks. Further, it provides freight, maintenance, training, telemetry, remote operation, and consulting services and solutions. The company was formerly known as Mills Estruturas e Serviços de Engenharia S.A. and changed its name to Mills Locação, Serviços e Logística S.A. in July 2022. Mills Loca…

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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.