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ALEXP (ALEXP) Fair Value & Analysis

Financial Services · FR · Market cap €4.3M

Price€0.3670
Fair Value€0.3900
Upside+6.3%
Quality95/100
Evidence: Low Range €0.2500 – €0.5300

Fair value as of: Jun 26, 2026

Analysis

ALEXP (ALEXP) currently trades at €0.3670, while our model-based Fair Value estimate is €0.3900 — implying the stock looks roughly 6.3% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.

About the company

One Experience Société anonyme owns and manages event and tourist sites, hotels, and co-working and co-living spaces. The company was formerly known as Immo Blockchain Société anonyme and changed its name to One Experience Société anonyme in June 2023. One Experience Société was founded in 2017 and is headquartered in Boulogne-Billancourt, France.

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Frequently asked questions

Is ALEXP (ALEXP) undervalued?
As of Jun 26, 2026, our model estimates a fair value of €0.3900 versus a price of €0.3670 — about +6% (undervalued). Model-based estimate, not financial advice.
What is the fair value of ALEXP?
Our 21-model fair value for ALEXP is €0.3900 (as of Jun 26, 2026), built from audited fundamentals. The current price is €0.3670.
What is the quality score of ALEXP?
ALEXP 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.