LKQ Corporation (LKQ) Fair Value & Analysis
Consumer Cyclical · US · Market cap $6.4B
Analysis
LKQ Corporation (LKQ) currently trades at $26.23, while our model-based Fair Value estimate is $52.27 — implying the stock looks roughly 99.3% 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
LKQ Corporation engages in the distribution of replacement parts, components, and systems used in the repair and maintenance of vehicles and specialty vehicle aftermarket products and accessories. The company operates through four segments: Wholesale-North America, Europe, Specialty, and Self Service. It offers bumper covers, automotive body panels, and lights, as well as paint and paint related consumables for refinishing vehicles; mechanical automotive parts and accessories; salvage products, including mechanical and collision parts comprising engines; transmissions; door assemblies; sheet metal products, such as trunk lids, fenders, and hoods; and lights and bumper assemblies. The company also provides scrap metal and other materials to metals recyclers; precious metals, such as catalytic converters; and brake pads, discs and sensors, clutches, steering and suspension products, filters, and oil and automotive fluids, as well as electrical products, including spark plugs and batte…
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.