Hidrovias do Brasil S.A (HBSA3) Fair Value & Analysis
Industrials · BR · Market cap R$4.1B
Analysis
Hidrovias do Brasil S.A (HBSA3) currently trades at R$3.59, while our model-based Fair Value estimate is R$6.72 — implying the stock looks roughly 87.2% 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
Hidrovias do Brasil S.A., together with its subsidiaries, provides integrated logistics solutions for waterways in Brazil and internationally. The company is involved in transportation of goods; construction and operation of ports, cargo terminals, shipyards, workshops, and warehouses; river and sea navigation, coastal navigation, and storage of goods; and provision of logistics services and other related activities. It also offers maritime transportation, port terminals, and warehousing services. In addition, the company provides cargo storage and lifting, river transport, handling and storage, specialized cargo terminal, leases navigation, and shipping assets, as well as offers financial transactions agency. It operates four port terminals with 16.7 million tons total loading capacity; and current waterway fleet, which has 484 cargo barges, 24 main tugboats, 7 auxiliary tugboats. Hidrovias do Brasil S.A. was incorporated in 2010 and is headquartered in São Paulo, Brazil.
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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.