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Hopening SA (MLHPE) Fair Value & Analysis

Communication Services · FR · Market cap €4.0M

Price€4.66
Fair Value€8.28
Upside+77.7%
Quality86/100
Evidence: Medium Range €6.21 – €10.35

Fair value as of: Jun 24, 2026

Analysis

Hopening SA (MLHPE) currently trades at €4.66, while our model-based Fair Value estimate is €8.28 — implying the stock looks roughly 77.7% undervalued today. We read business quality at 86/100 (high quality), in the Communication 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: medium) — always confirm before acting.

About the company

Hopening SA, together with its subsidiaries, engages in fundraising, sponsorship, and philanthropy services in France. It offers relationship marketing, digital marketing, mobilization communication, philanthropy and corporate sponsorship, data science and DB, innovation, acquisition issued, and legacy and gifts strategies. The company was formerly known as Optimus S.A. and changed its name to Hopening SA in March 2017. Hopening SA was incorporated in 1989 and is based in Puteaux, France.

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Frequently asked questions

Is Hopening SA (MLHPE) undervalued?
As of Jun 24, 2026, our model estimates a fair value of €8.28 versus a price of €4.66 — about +78% (undervalued). Model-based estimate, not financial advice.
What is the fair value of MLHPE?
Our 21-model fair value for Hopening SA is €8.28 (as of Jun 24, 2026), built from audited fundamentals. The current price is €4.66.
What is the quality score of MLHPE?
Hopening SA has a Quality Score of 86/100, 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.