Argan SA (ARG) Fair Value & Analysis
Real Estate · FR · Market cap €1.6B
Analysis
Argan SA (ARG) currently trades at €59.30, while our model-based Fair Value estimate is €63.49 — implying the stock looks roughly 7.1% undervalued today. We read business quality at 94/100 (high quality), in the Real Estate 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: high) — always confirm before acting.
About the company
Argan SA is the only French real estate company specializing in the Development & Rental of Premium Warehouses listed on Euro Next. Building on a unique customer-centric approach, ARGAN develops PREMIUM and pre-let Au0nom labelled warehouses i.e., which produce their own energy for self-consumption for blue-chip companies, with tailor-made services throughout all project phases from the development milestones to the rental management. As of December 31, 2025, ARGAN represented a portfolio of 3.8 million sq., with more than one hundred warehouses located in the continental area of France. Appraised at a total of 4.1 billion, this portfolio generates a yearly rental income of 214 million euros (yearly rental income based on the portfolio delivered as of December 31, 2025). Profitability, well-mastered debt, and sustainability are at the heart of ARGAN's DNA. The financial solidity of the Group's model is notably reflected in its investment-grade rating (BBB- with a stable outlook) wit…
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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.