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Bluelinea Société Anonyme (ALBLU) Fair Value & Analysis

Healthcare · FR · Market cap €7.5M

Price€0.4100
Fair Value€0.7000
Upside+70.7%
Quality95/100
Evidence: Low Range €0.5300 – €0.8800

Fair value as of: Jun 24, 2026

Analysis

Bluelinea Société Anonyme (ALBLU) currently trades at €0.4100, while our model-based Fair Value estimate is €0.7000 — implying the stock looks roughly 70.7% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare 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

Bluelinea Société Anonyme provides health services for elderly and disabled people in France. It offers seniors and home services, including day and night family, and elder support related services. The company also provides connected establishments services that protects residents while assisting caregivers and staff in shared accommodation between seniors, serviced residences, EHPADs, specialized disability centers, and health establishments. Bluelinea Société Anonyme was incorporated in 2006 and is headquartered in Versailles, France.

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Frequently asked questions

Is Bluelinea Société Anonyme (ALBLU) undervalued?
As of Jun 24, 2026, our model estimates a fair value of €0.7000 versus a price of €0.4100 — about +71% (undervalued). Model-based estimate, not financial advice.
What is the fair value of ALBLU?
Our 21-model fair value for Bluelinea Société Anonyme is €0.7000 (as of Jun 24, 2026), built from audited fundamentals. The current price is €0.4100.
What is the quality score of ALBLU?
Bluelinea Société Anonyme 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.