MGDDY (MGDDY) Fair Value & Analysis
Consumer Cyclical · US · Market cap $16.7B
Fair value as of: Jun 24, 2026
Analysis
MGDDY (MGDDY) currently trades at $18.56, while our model-based Fair Value estimate is $34.42 — implying the stock looks roughly 85.5% 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
Compagnie Générale des Établissements Michelin Société en commandite par actions manufactures and sells tires worldwide. The company offers tires for private use covering cars, racing, biking, motorcycles, scooters, and mopeds; and professional use, such as freight and people transport, agriculture, construction and industrial, mining and quarries, corporate fleets, tradesmen and professionals, civil and military operations, light rail, and aircraft. It is also involved in the provision of tire-related services, including development of mobility solutions for fleet managers, vehicle manufacturers, farmers, distributors, and individuals; mobility services, such as road maps, mobile apps, itineraries, and travel guides; lifestyle products comprising car and bike accessories, shoe soles, and sports and leisure gears; and high-tech materials that include 3D metal printing, specialty, rubber, biosourced, and recycled materials. Compagnie Générale des Établissements Michelin Société en co…
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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.