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Armac Locação, Logística e Serviços S.A (ARML3) Fair Value & Analysis

Industrials · BR · Market cap R$1.1B

PriceR$2.88
Fair ValueR$4.07
Upside+41.3%
Quality94/100
Evidence: High Range R$4.07 – R$5.08

Fair value as of: Jun 24, 2026

Analysis

Armac Locação, Logística e Serviços S.A (ARML3) currently trades at R$2.88, while our model-based Fair Value estimate is R$4.07 — implying the stock looks roughly 41.3% undervalued today. We read business quality at 94/100 (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

Armac Locação, Logística e Serviços S.A. engages in leasing machines, equipment, and services in Brazil. It offers trucks, forklifts, yellow line machines, and vocational equipment. The company was founded in 1994 and is headquartered in Barueri, Brazil.

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Frequently asked questions

Is Armac Locação, Logística e Serviços S.A (ARML3) undervalued?
As of Jun 24, 2026, our model estimates a fair value of R$4.07 versus a price of R$2.88 — about +41% (undervalued). Model-based estimate, not financial advice.
What is the fair value of ARML3?
Our 21-model fair value for Armac Locação, Logística e Serviços S.A is R$4.07 (as of Jun 24, 2026), built from audited fundamentals. The current price is R$2.88.
What is the quality score of ARML3?
Armac Locação, Logística e Serviços S.A has a Quality Score of 94/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.