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Inter Residence Fundo DE Investimento Imobiliario FII (INRD11) Fair Value & Analysis

Real Estate · BR · Market cap R$84.7M

PriceR$77.97
Fair ValueR$64.87
Upside-16.8%
Quality85/100
Evidence: Medium Range R$52.36 – R$64.87

Fair value as of: Jun 26, 2026

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Analysis

Inter Residence Fundo DE Investimento Imobiliario FII (INRD11) currently trades at R$77.97, while our model-based Fair Value estimate is R$64.87 — implying the stock looks roughly 16.8% overvalued today. We read business quality at 85/100 (high quality), in the Real Estate 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: medium).

About the company

Inter Residence Fundo DE Investimento Imobiliario FII is headquartered in Brazil.

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Frequently asked questions

Is Inter Residence Fundo DE Investimento Imobiliario FII (INRD11) undervalued?
As of Jun 26, 2026, our model estimates a fair value of R$64.87 versus a price of R$77.97 — about −17% (overvalued). Model-based estimate, not financial advice.
What is the fair value of INRD11?
Our 21-model fair value for Inter Residence Fundo DE Investimento Imobiliario FII is R$64.87 (as of Jun 26, 2026), built from audited fundamentals. The current price is R$77.97.
What is the quality score of INRD11?
Inter Residence Fundo DE Investimento Imobiliario FII has a Quality Score of 85/100, 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.