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Fonciere Atland (ATLD) Fair Value & Analysis

Real Estate · FR · Market cap €172M

Price€38.60
Fair Value€35.47
Upside-8.1%
Quality95/100
Evidence: High Range €24.62 – €46.32

Fair value as of: Jun 26, 2026

Analysis

Fonciere Atland (ATLD) currently trades at €38.60, while our model-based Fair Value estimate is €35.47 — implying the stock looks roughly 8.1% overvalued today. We read business quality at 95/100 (high quality), in the Real Estate 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: high).

About the company

Fonciere Atland operates as a real estate investment trust. It invests in offices, retail outlets, warehouses, or light industrial premises. It also provides real estate sale-leaseback services, and construction and turnkey rental development services to business customers. The company is based in Paris, France.

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Frequently asked questions

Is Fonciere Atland (ATLD) undervalued?
As of Jun 26, 2026, our model estimates a fair value of €35.47 versus a price of €38.60 — about −8% (overvalued). Model-based estimate, not financial advice.
What is the fair value of ATLD?
Our 21-model fair value for Fonciere Atland is €35.47 (as of Jun 26, 2026), built from audited fundamentals. The current price is €38.60.
What is the quality score of ATLD?
Fonciere Atland 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.