Sonida Senior Living, Inc (SNDA) Fair Value & Analysis
Healthcare · US · Market cap $1.7B
Analysis
Sonida Senior Living, Inc (SNDA) currently trades at $36.64, while our model-based Fair Value estimate is $4.87 — implying the stock looks roughly 86.7% overvalued today. We read business quality at 94/100 (high quality), in the Healthcare 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: low).
About the company
Sonida Senior Living, Inc. owns and operates senior housing communities in the United States. The company provides independent living services, which include daily meals, transportation, social and recreational activities, laundry, housekeeping, and 24-hour staffing; and access to health screenings, periodic special services, and dietary and similar programs, as well as exercise and fitness classes. It offers assisted living services consist of personal care services, such as assistance with activities of daily living, including ambulation, bathing, dressing, eating, grooming, personal hygiene, and monitoring or assistance with medications; support services, such as meals, assistance with social and recreational activities, laundry, general housekeeping, maintenance, and transportation services; and supplemental services, which include extra transportation, personal maintenance, and extra laundry services, as well as special care services for residents with various forms of dementia…
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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.