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Kalray S.A (ALKAL) Fair Value & Analysis

Technology · FR · Market cap €200M

Price€8.76
Fair Value€6.36
Upside-27.4%
Quality95/100
Evidence: Low Range €4.77 – €7.95

Fair value as of: Jun 24, 2026

Analysis

Kalray S.A (ALKAL) currently trades at €8.76, while our model-based Fair Value estimate is €6.36 — implying the stock looks roughly 27.4% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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

Kalray S.A. provides processors and acceleration cards in France. It offers acceleration cards; AI and compute acceleration cards; and storage acceleration cards, as well as MPPA processor for various data transfers. It serves AI, media and entertainment, life science, scientific research, storage, edge computing, artificial intelligence, embedded, automotive, and other sectors. Kalray S.A. was founded in 2008 and is headquartered in Montbonnot-Saint-Martin, France.

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Frequently asked questions

Is Kalray S.A (ALKAL) undervalued?
As of Jun 24, 2026, our model estimates a fair value of €6.36 versus a price of €8.76 — about −27% (overvalued). Model-based estimate, not financial advice.
What is the fair value of ALKAL?
Our 21-model fair value for Kalray S.A is €6.36 (as of Jun 24, 2026), built from audited fundamentals. The current price is €8.76.
What is the quality score of ALKAL?
Kalray 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.