Hilton Grand Vacations Inc (HGV) Fair Value & Analysis
Consumer Cyclical · US · Market cap $3.9B
Analysis
Hilton Grand Vacations Inc (HGV) currently trades at $52.34, while our model-based Fair Value estimate is $41.32 — implying the stock looks roughly 21.1% overvalued today. We read business quality at 93/100 (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
Hilton Grand Vacations Inc. develops, markets, sells, manages, and operates the resorts, timeshare plans, and ancillary reservation services under the Hilton Grand Vacations brand in the United States, Japan, and Europe. The company operates through two segments: Real Estate Sales and Financing, and Resort Operations and Club Management segments. The Real Estate Sales and Financing segment market and sells the VOIs, and source VOIs through fee-for-service agreements; and provides consumer financing and services loans. The Resort Operations and Club Management segment manages and operates the clubs which provides exchange, leisure travel, and reservation services, as well as engages in the rental of inventory made available due to ownership exchanges through its club programs, and provides ancillary services including food and beverage, retail and spa at timeshare properties. Hilton Grand Vacations Inc. was founded in 1992 and is headquartered in Orlando, Florida.
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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.