Bright Horizons Family Solutions Inc (BFAM) Fair Value & Analysis
Consumer Cyclical · US · Market cap $3.3B
Analysis
Bright Horizons Family Solutions Inc (BFAM) currently trades at $65.84, while our model-based Fair Value estimate is $75.79 — implying the stock looks roughly 15.1% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Bright Horizons Family Solutions Inc. provides early education and childcare, comprehensive back-up care, educational advisory, and other workplace solutions services for employers and families in the United States, Puerto Rico, the United Kingdom, the Netherlands, Australia, and India. It operates in three segments: Full-Service Center-Based Child Care, Back-Up Care, and Educational Advisory services. The Full-Service Center-Based Child Care segment offers traditional center-based early education and childcare, preschool, and elementary education services. The Back-Up Care segment provides center-based back-up childcare, in-home child and senior care, school-age programs, camps, tutoring, pet care, and self-sourced reimbursed care services, as well as sittercity, an online marketplace for families and caregivers through early education and childcare centers, school-age programs and in-home care providers, the back-up care network, and other providers. The Educational Advisory servi…
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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.