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Inter Logistico Fundo De Investimento Imobiliario - FII (INLG11) Fair Value & Analysis

Real Estate · BR · Market cap R$296M

PriceR$67.00
Fair ValueR$92.81
Upside+38.5%
Quality95/100
Evidence: High Range R$69.61 – R$116.01

Fair value as of: Jun 26, 2026

Analysis

Inter Logistico Fundo De Investimento Imobiliario - FII (INLG11) currently trades at R$67.00, while our model-based Fair Value estimate is R$92.81 — implying the stock looks roughly 38.5% undervalued today. We read business quality at 95/100 (high quality), in the Real Estate 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

Inter Logistico Fundo De Investimento Imobiliario - FII is headquartered in Brazil.

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Frequently asked questions

Is Inter Logistico Fundo De Investimento Imobiliario - FII (INLG11) undervalued?
As of Jun 26, 2026, our model estimates a fair value of R$92.81 versus a price of R$67.00 — about +39% (undervalued). Model-based estimate, not financial advice.
What is the fair value of INLG11?
Our 21-model fair value for Inter Logistico Fundo De Investimento Imobiliario - FII is R$92.81 (as of Jun 26, 2026), built from audited fundamentals. The current price is R$67.00.
What is the quality score of INLG11?
Inter Logistico Fundo De Investimento Imobiliario - FII 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.