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Quonia Socimi, S.A (YQUO) Fair Value & Analysis

Real Estate · ES · Market cap €33.4M

Price€1.19
Fair Value€1.08
Upside-9.2%
Quality95/100
Evidence: High Range €0.7900 – €1.32

Fair value as of: Jun 26, 2026

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Analysis

Quonia Socimi, S.A (YQUO) currently trades at €1.19, while our model-based Fair Value estimate is €1.08 — implying the stock looks roughly 9.2% 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: high).

About the company

Quonia Socimi, S.A., a real estate investment fund, engages in the acquisition and management of real estate assets in Barcelona. Its activities also include conducting market studies; undertaking rehabilitation projects; exploiting and developing buildings; and rotation of property portfolio. The company is based in Barcelona, Spain.

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Frequently asked questions

Is Quonia Socimi, S.A (YQUO) undervalued?
As of Jun 26, 2026, our model estimates a fair value of €1.08 versus a price of €1.19 — about −9% (overvalued). Model-based estimate, not financial advice.
What is the fair value of YQUO?
Our 21-model fair value for Quonia Socimi, S.A is €1.08 (as of Jun 26, 2026), built from audited fundamentals. The current price is €1.19.
What is the quality score of YQUO?
Quonia 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.