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As of August 29, 2017, Socimi Eurosic Investment Spain (YEIS) Fair Value & Analysis

Real Estate · ES · Market cap €10.1M

Price€0.8150
Fair Value€2.04
Upside+150.3%
Quality92/100
Evidence: High Range €1.77 – €3.19

Fair value as of: Jun 26, 2026

Analysis

As of August 29, 2017, Socimi Eurosic Investment Spain (YEIS) currently trades at €0.8150, while our model-based Fair Value estimate is €2.04 — 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

As of August 29, 2017, Socimi Eurosic Investment Spain operates as a subsidiary of Batipart SAS.

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Frequently asked questions

Is As of August 29, 2017, Socimi Eurosic Investment Spain (YEIS) undervalued?
As of Jun 26, 2026, our model estimates a fair value of €2.04 versus a price of €0.8150 — about +150% (undervalued). Model-based estimate, not financial advice.
What is the fair value of YEIS?
Our 21-model fair value for As of August 29, 2017, Socimi Eurosic Investment Spain is €2.04 (as of Jun 26, 2026), built from audited fundamentals. The current price is €0.8150.
What is the quality score of YEIS?
As of August 29, 2017, Socimi Eurosic Investment Spain 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.