Auto Partner SA (APR) Fair Value & Analysis
Consumer Cyclical · PL · Market cap 3.4B PLN
Analysis
Auto Partner SA (APR) currently trades at 25.70 PLN, while our model-based Fair Value estimate is 35.03 PLN — implying the stock looks roughly 36.3% undervalued today. We read business quality at 92/100 (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
Auto Partner SA imports and distributes parts for passenger cars, delivery vans, and motorcycles in Poland. The company's products portfolio consists of suspension and steering systems, brake systems, motorbike assortments, workshop equipment, shock absorbers and springs, drive systems, filters, timing gears, hydraulics, metal and rubber parts, pneumatic tools, health and safety products, turbochargers, drivetrains, seals, workshop equipment, electric systems, cooling systems, oils and car chemicals, wipers, power window regulators, exhaust systems, body and lighting products, batteries, tires and rims, and accessories and consumables, as well as power supply system components, joints, axle shafts, spark plugs, clutches, gaskets and engine parts, hoses, drive belts and rollers, cables, and clamps. It also operates warehouses; and provides training and transport services. The company offers its products through electronic channels, as well as directly to customers, comprising repair …
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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.