Life Time Group (LTH) Fair Value & Analysis
Consumer Cyclical · US · Market cap $7.2B
Analysis
Life Time Group (LTH) currently trades at $37.83, while our model-based Fair Value estimate is $16.15 — implying the stock looks roughly 57.3% 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
Life Time Group Holdings, Inc., through its subsidiaries, provides health, fitness, and wellness experiences to a community of individual members in the United States and Canada. The company offers fitness floors with equipment, locker rooms, group fitness studios, cycle, yoga, pilates studios, bar and lounge, free weight and resistance equipment, cardiovascular equipment, steam room and sauna, cold plunges, racquetball and squash spaces, recovery spaces, indoor and outdoor pools and bistros, indoor and outdoor tennis and pickleball courts, basketball, volleyball courts, LifeSpa, LifeCafe, and childcare and kids academy learning spaces. It also provides dynamic personal training, dynamic stretch, small group training, weight loss coaching, nutrition coaching, medi-spa, physical therapy and chiropractic, assessments and lab testing, sport specific coaching, endurance coaching, swim lessons and team coaching, towel and locker service, experience life, and ARORA and MIORA community ser…
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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.