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Eagers Automotive Limited (APE) Fair Value & Analysis

Consumer Cyclical · AU · Market cap A$5.9B

PriceA$21.76
Fair ValueA$17.66
Upside-18.8%
Quality92/100
Evidence: High Range A$13.24 – A$24.96

Analysis

Eagers Automotive Limited (APE) currently trades at A$21.76, while our model-based Fair Value estimate is A$17.66 — implying the stock looks roughly 18.8% overvalued today. We read business quality at 92/100 (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: high).

About the company

Eagers Automotive Limited owns and operates motor vehicle dealerships in Australia and New Zealand. It operates in two segments, Car Retailing and Property. The company offers a range of automotive products and services, including new and used vehicles, vehicle maintenance and repair services, vehicle parts, service contracts, vehicle brokerage services, vehicle protection products, and other aftermarket products. It also engages in facilitating financing for vehicle purchases through third-party sources; and motor auction and forklift rental business. In addition, the company acquires commercial properties primarily for use as facility premises for its motor dealership operations. The company was formerly known as A.P. Eagers Limited and changed its name to Eagers Automotive Limited in July 2020. Eagers Automotive Limited was founded in 1913 and is based in Newstead, Australia.

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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.