Pirelli & C. S.p.A (PIRC) Fair Value & Analysis
Consumer Cyclical · IT · Market cap €7.1B
Analysis
Pirelli & C. S.p.A (PIRC) currently trades at €6.33, while our model-based Fair Value estimate is €9.37 — implying the stock looks roughly 48.0% undervalued today. We read business quality at 93/100 (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
Pirelli & C. S.p.A., through its subsidiaries, manufactures and sells tires for cars, motorcycles, and bicycles in Europe, North America, the Asia-Pacific, South America, Russia, India, the Middle East, and Africa. The company offers car tires under the P ZERO, Cinturato, Scorpion, Carrier, Winter Sottozero, and Ice brands; racing tires under the P Zero Trofeo R and P Zero Slick and Rain brands; rally tires under the P Zero, Scorpion, Scorpion Snow, and Sottozero Ice brands; collezione tires for classic and collector cars; and motorcycle tires under the Pirelli Diablo Superbike, Pirelli Diablo Supercorsa SP, Pirelli Diablo Rosso Corsa II, Pirelli Diablo Rosso Scooter, Pirelli Angel GT II, Pirelli Scorpion Trail II, Pirelli Scorpion Rally STR, Pirelli Scorpion MX, Metzeler Sportec M9 RR, Metzeler Sportec M7 RR, Metzeler Roadtec 01 SE, Metzeler Karoo Street, Metzeler Karoo 3, Metzeler Karoo Extreme, and Metzeler Cruisetec brands. It also provides bicycle tires under the P Zero Velo, P…
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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.