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Lhyfe SA (LHYFE) Fair Value & Analysis

Basic Materials · FR · Market cap €111M

Price€1.99
Fair Value€1.36
Upside-31.5%
Quality80/100
Evidence: Low Range €1.02 – €1.69

Fair value as of: Jun 24, 2026

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Analysis

Lhyfe SA (LHYFE) currently trades at €1.99, while our model-based Fair Value estimate is €1.36 — implying the stock looks roughly 31.5% overvalued today. We read business quality at 80/100 (high quality), in the Basic Materials 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

Lhyfe SA produces and supplies renewable green hydrogen for mobility and industry markets. The company designs, installs, and operates onshore, on-site, and offshore green hydrogen production units that offers hydrogen through bulk delivery, and pipelines and on-site supply. It serves chemical, metallurgy, glass, and cement industries. The company was founded in 2017 and is based in Nantes, France.

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Frequently asked questions

Is Lhyfe SA (LHYFE) undervalued?
As of Jun 24, 2026, our model estimates a fair value of €1.36 versus a price of €1.99 — about −32% (overvalued). Model-based estimate, not financial advice.
What is the fair value of LHYFE?
Our 21-model fair value for Lhyfe SA is €1.36 (as of Jun 24, 2026), built from audited fundamentals. The current price is €1.99.
What is the quality score of LHYFE?
Lhyfe SA 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.