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Aramis Group (ARAMI) Fair Value & Analysis

Consumer Cyclical · FR · Market cap €254M

Price€2.86
Fair Value€5.35
Upside+87.1%
Quality95/100
Evidence: High Range €4.02 – €6.69

Fair value as of: Jun 24, 2026

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Analysis

Aramis Group (ARAMI) currently trades at €2.86, while our model-based Fair Value estimate is €5.35 — implying the stock looks roughly 87.1% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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

Aramis Group SAS engages in the online sale of used vehicles in France, Belgium, the United Kingdom, Austria, Italy, and Spain. The company offers a wide range of automotive products and services, including financing, insurance, maintenance, contracts, warranty extensions, and automotive accessories. It operates under the Aramisauto, Cardoen, Clicars, CarSupermarket, Onlinecars, and Brumbrum brands. The company was founded in 2001 and is based in Arcueil, France. Aramis Group SAS operates as a subsidiary of Stellantis Auto SAS

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Frequently asked questions

Is Aramis Group (ARAMI) undervalued?
As of Jun 24, 2026, our model estimates a fair value of €5.35 versus a price of €2.86 — about +87% (undervalued). Model-based estimate, not financial advice.
What is the fair value of ARAMI?
Our 21-model fair value for Aramis Group is €5.35 (as of Jun 24, 2026), built from audited fundamentals. The current price is €2.86.
What is the quality score of ARAMI?
Aramis Group 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.