Advance Auto Parts, Inc (AAP) Fair Value & Analysis
Consumer Cyclical · US · Market cap $3.5B
Analysis
Advance Auto Parts, Inc (AAP) currently trades at $54.81, while our model-based Fair Value estimate is $16.05 — implying the stock looks roughly 70.7% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Advance Auto Parts, Inc. provides automotive aftermarket parts. The company offers batteries and battery accessories; belts and hoses; brakes and brake pads; chassis parts; climate control parts; clutches and drive shafts; engines and engine parts; exhaust systems and parts; hub assemblies; ignition components and wires; radiators and cooling parts; starters and alternators; and steering and alignment parts. It also provides air conditioning chemicals and accessories; air fresheners; antifreeze and washer fluid; electrical wire and fuses; electronics; floor mats, seat covers, and interior accessories; hand and specialty tools; lighting products; performance parts; sealants, adhesives, and compounds; tire repair accessories; vent shades, mirrors, and exterior accessories; washes, waxes, and cleaning supplies; and wiper blades. In addition, the company offers air filters; fuel and oil additives; fuel filters; grease and lubricants; motor oil; oil filters; part cleaners and treatments;…
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.