John Wiley & Sons, Inc (WLY) Fair Value & Analysis
Communication Services · US · Market cap $2.3B
Analysis
John Wiley & Sons, Inc (WLY) currently trades at $43.94, while our model-based Fair Value estimate is $43.78 — implying the stock looks roughly 0.4% overvalued today. We read business quality at 95/100 (high quality), in the Communication Services 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
John Wiley & Sons, Inc., a publisher, provides authoritative content, data-driven insights, and knowledge services for the advancement of science, innovation, and learning in the United States, China, the United Kingdom, Japan, Australia, and internationally. The company's Research segment provides scientific, technical, medical, and scholarly journals, as well as related content and services in the areas of physical sciences and engineering, health sciences, social sciences, and humanities, and life sciences. This segment sells its products direct to research libraries and library consortia, as well as to researchers and professional society members, and other customers; and through independent subscription agents. The company's Learning segment offers scientific, professional, and education print and digital books; digital courseware to support students and instructors, and assessment services for businesses and professionals. This segment sells its products and services to busine…
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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.