Asbury Automotive Group (ABG) Fair Value & Analysis
Consumer Cyclical · US · Market cap $3.5B
Analysis
Asbury Automotive Group (ABG) currently trades at $206.33, while our model-based Fair Value estimate is $449.22 — implying the stock looks roughly 117.7% 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
Asbury Automotive Group, Inc., together with its subsidiaries, operates as an automotive retailer in the United States. It operates through Dealerships; and Total Care Auto, Powered by Asbury (TCA) segments. The company offers a range of automotive products and services, including new and used vehicles; and vehicle repair and maintenance services, replacement parts, collision repair, and reconditioning services for used vehicles. It also provides finance and insurance products, including arranging vehicle financing through third parties; and aftermarket products, such as extended vehicle service contracts, guaranteed asset protection debt cancellation, prepaid maintenance contracts, key replacement contracts, paintless dent repair contracts, appearance protection contracts, tire and wheel, and lease wear and tear contracts. The company sells its products and services to individual retail customers, other dealers, and licensed wholesalers through its network of dealerships, as well a…
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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.