MARR S.p.A (MARR) Fair Value & Analysis
Consumer Defensive · IT · Market cap €427M
Fair value as of: Jun 24, 2026
Analysis
MARR S.p.A (MARR) currently trades at €6.73, while our model-based Fair Value estimate is €8.62 — implying the stock looks roughly 28.1% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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
MARR S.p.A. engages in marketing and distribution of fresh, dried, and frozen food products for catering in Italy, the European Union, and internationally. It offers meat products, such as beef, sheep, pork, poultry, and rabbit families products; seafood products, including fresh and frozen seafood products; grocery products; cured meats and cheeses; and wine and beverages, such as liqueurs, bitters, grappa, classic and craft beers, drinks, which include juices, soft drinks, infusions, and tea. The company also provides nonfood products, such as disposable and consumable products, as well as cleaning and hygiene products and products for delivery and take away; and offers kitchens products to furnishing accessories for the restaurant hall, bedrooms, and services for the maintenance of public premises. In addition, it offers commercial consultancy and services, and digital solutions. It serves food products to bars and fast food outlets. MARR S.p.A. was incorporated in 1972 and is he…
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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.