Tegma Gestão Logística S.A (TGMA3) Fair Value & Analysis
Industrials · BR · Market cap R$2.0B
Fair value as of: Jun 25, 2026
Analysis
Tegma Gestão Logística S.A (TGMA3) currently trades at R$30.35, while our model-based Fair Value estimate is R$64.51 — 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
Tegma Gestão Logística S.A., together with its subsidiaries, provides logistics services in Brazil. It operates in Automotive Logistics and Integrated Logistics segments. The Automotive Logistics segment engages in the transportation and distribution of new and used vehicles; port transfers; and yard and stock management for automakers, as well as vehicle pre-delivery services. The Integrated Logistics segment provides transportation, warehousing, and inventory management services for chemicals, household appliances, and consumer goods. The company also offers automotive logistic and center, yard management, vehicle transport and storage, integrated logistics, chemical supply chain management, packaging management, intralogistics, and special project services. It serves foods and drinks, automotive, cosmetics, home appliances, pharmaceutical, and chemical and petrochemical industries. The company was founded in 1969 and is headquartered in São Bernardo do Campo, Brazil.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Tegma Gestão Logística S.A (TGMA3) undervalued?
What is the fair value of TGMA3?
What is the quality score of TGMA3?
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.