Afya Limited (AFYA) Fair Value & Analysis
Consumer Defensive · US · Market cap $1.3B
Fair value as of: Jun 25, 2026
Analysis
Afya Limited (AFYA) currently trades at $14.59, while our model-based Fair Value estimate is $40.19 — implying the stock looks roughly 175.5% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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
Afya Limited operates as a medical education group in Brazil. The company operates in three segments: Undergraduate, Continuing Education, and Medical Practice Solutions. The Undergraduate segment offers educational services through undergraduate courses related to medical school, health sciences, and other non-health undergraduate programs, including medicine, dentistry, nursing, radiology, psychology, pharmacy, physical education, physiotherapy, nutrition, biomedicine, business administration, accounting, law, civil and industrial engineering, and pedagogy. The Continuing Education segment provides medical education, including residency preparation programs, specialization test preparation, graduate courses in medicine, and digital and in-person professional development for physicians and medical students. The Medical Practice Solutions segment offers clinical decision support platforms, medical practice management software, healthcare financial services, and digital healthcare ec…
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Frequently asked questions
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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.