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Numulae Gestión de Servicios SOCIMI, S.A (YNUM) Fair Value & Analysis

Real Estate · ES · Market cap €34.6M

Price€2.32
Fair Value€0.9600
Upside-58.6%
Quality89/100
Evidence: Medium Range €0.4200 – €1.50

Fair value as of: Jun 26, 2026

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Analysis

Numulae Gestión de Servicios SOCIMI, S.A (YNUM) currently trades at €2.32, while our model-based Fair Value estimate is €0.9600 — implying the stock looks roughly 58.6% overvalued today. We read business quality at 89/100 (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

Numulae Gestión de Servicios SOCIMI, S.A. operates as a real estate investment company in Spain. The company operates Parque Astur and El Arcángel shopping centers in Avilés and Córdoba; and Torrijos market in madrid. Numulae Gestión de Servicios SOCIMI, S.A. was incorporated in 2009 and is based in Madrid, Spain. Numulae Gestión de Servicios SOCIMI, S.A. is a subsidiary of La Fe Previsora Compañia de Seguros, S.A.

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Frequently asked questions

Is Numulae Gestión de Servicios SOCIMI, S.A (YNUM) undervalued?
As of Jun 26, 2026, our model estimates a fair value of €0.9600 versus a price of €2.32 — about −59% (overvalued). Model-based estimate, not financial advice.
What is the fair value of YNUM?
Our 21-model fair value for Numulae Gestión de Servicios SOCIMI, S.A is €0.9600 (as of Jun 26, 2026), built from audited fundamentals. The current price is €2.32.
What is the quality score of YNUM?
Numulae Gestión de Servicios SOCIMI, S.A has a Quality Score of 89/100, 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.