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Matritense Real Estate Socimi, S.A (YMAT) Fair Value & Analysis

Real Estate · ES · Market cap €20.5M

Price€1.01
Fair Value€0.2700
Upside-73.3%
Quality95/100
Evidence: Medium Range €0.2400 – €0.5800

Fair value as of: Jun 26, 2026

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Analysis

Matritense Real Estate Socimi, S.A (YMAT) currently trades at €1.01, while our model-based Fair Value estimate is €0.2700 — implying the stock looks roughly 73.3% overvalued today. We read business quality at 95/100 (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

Matritense Real Estate Socimi, S.A., a real estate investment vehicle, invests in, acquires, and promotes residential, office, and commercial real estate markets in the city of Madrid, Spain. Its property portfolio includes 131 residential units, 11 commercial premises, and 24 parking spaces with a total area of 14,823 square meters. The company was incorporated in 2020 and is based in Madrid, Spain.

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Frequently asked questions

Is Matritense Real Estate Socimi, S.A (YMAT) undervalued?
As of Jun 26, 2026, our model estimates a fair value of €0.2700 versus a price of €1.01 — about −73% (overvalued). Model-based estimate, not financial advice.
What is the fair value of YMAT?
Our 21-model fair value for Matritense Real Estate Socimi, S.A is €0.2700 (as of Jun 26, 2026), built from audited fundamentals. The current price is €1.01.
What is the quality score of YMAT?
Matritense Real Estate Socimi, S.A 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.