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LPS Brasil - Consultoria de Imóveis S.A (LPSB3) Fair Value & Analysis

Real Estate · BR · Market cap R$205M

PriceR$1.47
Fair ValueR$3.68
Upside+150.3%
Quality92/100
Evidence: High Range R$2.57 – R$5.03

Fair value as of: Jun 26, 2026

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Analysis

LPS Brasil - Consultoria de Imóveis S.A (LPSB3) currently trades at R$1.47, while our model-based Fair Value estimate is R$3.68 — implying the stock looks roughly 150.3% undervalued today. We read business quality at 92/100 (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

LPS Brasil - Consultoria de Imóveis S.A. provides real estate brokerage services in Brazil. It operates through Intermediation, Franchises, and Promotion of Financing segments. The company operates in the market for real estate launches, or new properties and resale properties. It also engages in promoting and offering financial products and services in the real estate market. The company was founded in 1935 and is headquartered in São Paulo, Brazil.

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Frequently asked questions

Is LPS Brasil - Consultoria de Imóveis S.A (LPSB3) undervalued?
As of Jun 26, 2026, our model estimates a fair value of R$3.68 versus a price of R$1.47 — about +150% (undervalued). Model-based estimate, not financial advice.
What is the fair value of LPSB3?
Our 21-model fair value for LPS Brasil - Consultoria de Imóveis S.A is R$3.68 (as of Jun 26, 2026), built from audited fundamentals. The current price is R$1.47.
What is the quality score of LPSB3?
LPS Brasil - Consultoria de Imóveis S.A has a Quality Score of 92/100, 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.