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Enerside Energy, S.A (ENRS) Fair Value & Analysis

Industrials · ES · Market cap €27.6M

Price€0.4460
Fair Value€0.0500
Upside-88.8%
Quality80/100
Evidence: Low Range €0.0400 – €0.0600

Fair value as of: Jun 23, 2026

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Analysis

Enerside Energy, S.A (ENRS) currently trades at €0.4460, while our model-based Fair Value estimate is €0.0500 — implying the stock looks roughly 88.8% overvalued today. We read business quality at 80/100 (high quality), in the Industrials 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: low).

About the company

Enerside Energy, S.A. engages in the development, construction, and maintenance of renewable energy projects. It is developing approximately 6.8 GW of solar photovoltaic generation projects in Europe and Latin America. The company was founded in 2007 and is headquartered in Barcelona, Spain.

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Frequently asked questions

Is Enerside Energy, S.A (ENRS) undervalued?
As of Jun 23, 2026, our model estimates a fair value of €0.0500 versus a price of €0.4460 — about −89% (overvalued). Model-based estimate, not financial advice.
What is the fair value of ENRS?
Our 21-model fair value for Enerside Energy, S.A is €0.0500 (as of Jun 23, 2026), built from audited fundamentals. The current price is €0.4460.
What is the quality score of ENRS?
Enerside Energy, S.A has a Quality Score of 80/100, 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.