Cengage Learning Holdings (CNGO) Fair Value & Analysis
Consumer Defensive · US · Market cap $1.5B
Analysis
Cengage Learning Holdings (CNGO) currently trades at $23.50, while our model-based Fair Value estimate is $19.58 — implying the stock looks roughly 16.7% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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: medium).
About the company
Cengage Learning Holdings II, Inc., together with its subsidiaries, operates as an education technology company worldwide. The company operates through three segments: Cengage Academic, Cengage Work, and Cengage Select. It offers eTextbooks, a digital version of the textbook; print textbooks and materials; and Cengage Unlimited, a subscription service for digital higher education materials. The company also provides courseware solutions, including MindTap for business and economics, social sciences, trades, and skills; WebAssign for mathematics and physics; Skills Assessment Manager for introductory computing; Cengage NOW for accounting; and Online Web-Based Learning for chemistry. In addition, it offers ed2go, an online learning platform; K-12, public, and academic libraries under the Gale brand, as well as licenses its content for integration within web-based information services; English language curriculum and digital solutions under the NGL brand; educational resources for care…
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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.