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Harvey Norman Holdings (HNORF) Fair Value & Analysis

Consumer Cyclical · US · Market cap $4.6B

Price$3.72
Fair Value$3.88
Upside+4.3%
Quality89/100
Evidence: Medium Range $2.83 – $5.78

Analysis

Harvey Norman Holdings (HNORF) currently trades at $3.72, while our model-based Fair Value estimate is $3.88 — implying the stock looks roughly 4.3% undervalued today. We read business quality at 89/100 (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: medium) — always confirm before acting.

About the company

Harvey Norman Holdings Limited engages in the integrated retail, franchise, property, and digital system businesses. The company franchises and sells products in various categories, including electrical goods, furniture, computerized communications, bedding and Manchester, kitchen and small appliances, bathroom and tiles, and carpets and floorings. It operates complexes under the Harvey Norman, Domayne, and Joyce Mayne brands. The company is also involved in the property investment and media placement activities; acts as a lessor of premises to Harvey Norman, Domayne, and Joyce Mayne franchisees and other third parties, as well as retail properties; development and sale of properties; and provision of consumer finance and other commercial loans and advances. The company was founded in 1982 and is headquartered in Homebush West, 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.