Fairvalue-Calculator Fairvalue-Calculator
EN DE

Sequoia Logística e Transportes S.A (SEQL3) Fair Value & Analysis

Industrials · BR · Market cap R$442M

PriceR$0.0800
Fair ValueR$0.0240
Upside-70.0%
Quality95/100
Evidence: Low

Fair value as of: Jun 26, 2026

Analysis

Sequoia Logística e Transportes S.A (SEQL3) currently trades at R$0.0800, while our model-based Fair Value estimate is R$0.0240 — implying the stock looks roughly 70.0% overvalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).

About the company

Sequoia Logística e Transportes S.A. provides logistics, warehouse, transportation, supply chain, and operation management services. Sequoia Logística e Transportes S.A. was incorporated in 1996 and is headquartered in Barueri, Brazil.

Open the full interactive analysis →

Similar stocks

FedEx Corporation (FDX) -18% United Parcel Service, Inc (UPS) -27% Deutsche Post AG (DPSTF) -7% DSV (DSV) -54% DSDVF (DSDVF) +2% DSDVY (DSDVY) -55%

Frequently asked questions

Is Sequoia Logística e Transportes S.A (SEQL3) undervalued?
As of Jun 26, 2026, our model estimates a fair value of R$0.0240 versus a price of R$0.0800 — about −70% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SEQL3?
Our 21-model fair value for Sequoia Logística e Transportes S.A is R$0.0240 (as of Jun 26, 2026), built from audited fundamentals. The current price is R$0.0800.
What is the quality score of SEQL3?
Sequoia Logística e Transportes S.A has a Quality Score of 95/100, 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.