Log-in Logística Intermodal S.A (LOGN3) Fair Value & Analysis
Industrials · BR · Market cap R$3.0B
Fair value as of: Jun 24, 2026
Analysis
Log-in Logística Intermodal S.A (LOGN3) currently trades at R$26.75, while our model-based Fair Value estimate is R$24.35 — implying the stock looks roughly 9.0% 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: high).
About the company
Log-in Logística Intermodal S.A. engages in the provision of integrated logistics solutions for moving and transporting door-to-door containers and cargo in Brazil, Austria, and internationally. It operates through Integrated Solutions, Port Terminal, and Road Cargo Transport segments. The company offers cabotage services; coastal shipping and maritime services; warehousing, separation, and cross-dock services; and storage services for containers and general cargo, as well as manages and operates container port terminals. It also provides road freight transport of cargo and parcels; administration, transportation consultancy, storage, and customs clearance services; and river navigation, agency and arm vessels, cargo import and export, and multimodal transport services. In addition, the company is involved in the purchase, sale, rental, administration, construction, and operation of real estate; distribution of material and equipment by air, land, sea, or river; investment activitie…
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Frequently asked questions
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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.