Exor N.V (EXO) Fair Value & Analysis
Industrials · NL · Market cap €22.0B
Analysis
Exor N.V (EXO) currently trades at €64.70, while our model-based Fair Value estimate is €13.05 — implying the stock looks roughly 79.8% overvalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
Exor N.V. engages in the automotive, agriculture and construction, sports car, commercial vehicle, health technology, football and powertrain businesses in the Netherlands and internationally. The company designs, engineers, produces, and sells luxury performance sports cars under the Ferrari brand. It also provides automotive vehicles and mobility solutions under the Abarth, Alfa Romeo, Chrysler, Citroen, Dodge, DS, Fiat, Fiat Professional, Jeep, Lancia, Maserati, Mopar, Opel, Peugeot, Ram, and Vauxhall brands; diagnostic imaging, ultrasound, image-guided therapy, monitoring and enterprise informatic, and personal health equipment under Philips brand; agricultural and construction equipment and services; heavy, medium, and light-duty trucks; powertrain technologies; mass-transit and premium buses and coaches; defense and civil protection equipment; heavy-duty quarry and construction vehicles; and firefighting vehicles and equipment, as well as financing services. In addition, the c…
Open the full interactive analysis →
Similar stocks
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.