United Parks & Resorts Inc (PRKS) Fair Value & Analysis
Consumer Cyclical · US · Market cap $2.2B
Analysis
United Parks & Resorts Inc (PRKS) currently trades at $46.27, while our model-based Fair Value estimate is $44.00 — implying the stock looks roughly 4.9% overvalued today. We read business quality at 95/100 (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
United Parks & Resorts Inc., together with its subsidiaries, operates as a theme park and entertainment company in the United States. The company owns and licenses a portfolio of theme parks, such as a marine-life theme park in San Diego, Orlando, and San Antonio under the SeaWorld brand; family-oriented destination theme parks in Tampa Bay and Williamsburg under the Busch Gardens brand; and South Seas-themed tropical setting water parks in Orlando and San Antonio under the Aquatica brand. It also engages in the operation of reservations only and all-inclusive marine life theme park under the Discovery Cove brand; Sesame Street theme parks in Philadelphia and San Diego under the Sesame Place brand; Water Country USA, a family water park; and Adventure Island, a park which features water rides, dining, and other attractions. The company was formerly known as SeaWorld Entertainment, Inc. and changed its name to United Parks & Resorts Inc. in February 2024. United Parks & Resorts Inc. …
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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.