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Endurance Motive, S.A (END) Fair Value & Analysis

Industrials · ES · Market cap €39.0M

Price€2.99
Fair Value€0.6100
Upside-79.6%
Quality87/100
Evidence: Low Range €0.4600 – €0.7600

Fair value as of: Jun 24, 2026

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Analysis

Endurance Motive, S.A (END) currently trades at €2.99, while our model-based Fair Value estimate is €0.6100 — implying the stock looks roughly 79.6% overvalued today. We read business quality at 87/100 (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

Endurance Motive, S.A. designs, manufactures, and sells lithium batteries. The company offers batteries for industrial traction equipment and urban transport, as well as nautical batteries for marine sector. Endurance Motive, S.A. was incorporated in 2018 and is based in Valencia, Spain.

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Frequently asked questions

Is Endurance Motive, S.A (END) undervalued?
As of Jun 24, 2026, our model estimates a fair value of €0.6100 versus a price of €2.99 — about −80% (overvalued). Model-based estimate, not financial advice.
What is the fair value of END?
Our 21-model fair value for Endurance Motive, S.A is €0.6100 (as of Jun 24, 2026), built from audited fundamentals. The current price is €2.99.
What is the quality score of END?
Endurance Motive, S.A has a Quality Score of 87/100, 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.