Pediatrix Medical Group (MD) Fair Value & Analysis
Healthcare · US · Market cap $1.9B
Analysis
Pediatrix Medical Group (MD) currently trades at $23.86, while our model-based Fair Value estimate is $44.24 — implying the stock looks roughly 85.4% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare 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
Pediatrix Medical Group, Inc., together with its subsidiaries, provides newborn, maternal-fetal, and other pediatric subspecialty care services in the United States. The company offers clinical care to babies born prematurely or with complications within specific units at hospitals, primarily NICUs, through its network of affiliated neonatal physician subspecialists, neonatal nurse practitioners, and other pediatric clinicians; and inpatient and office-based clinical care to expectant mothers and unborn babies through its affiliated maternal-fetal medicine subspecialists, obstetricians and other clinicians, maternal-fetal medicine nurse practitioners, certified nurse midwives, sonographers, and genetic counselors. It also provides other pediatric subspecialty care, including pediatric intensivists, pediatric hospitalists, and pediatric surgeons; support services in other areas of hospitals comprising pediatric emergency room, labor and delivery area, and nursery and pediatric depart…
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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.