McGraw Hill, Inc (MH) Fair Value & Analysis
Consumer Defensive · US · Market cap $2.3B
Analysis
McGraw Hill, Inc (MH) currently trades at $9.48, while our model-based Fair Value estimate is $10.70 — implying the stock looks roughly 12.9% 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
McGraw Hill, Inc., doing business as McGraw Hill, provides education solutions for K-12, higher education, and professional learning in the United States and internationally. It operates through K-12, Higher Education, Global Professional, and International segments. The K-12 segment provides core, supplemental, and intervention curricula to support the needs of the K-12 schools. This segment also sells blended digital and print learning solutions directly to school districts across the United States. The Higher Education segment offers students, instructors, and institutions with adaptive digital learning solutions and content, and instructional materials. Its solutions are used by students enrolled in non-profit colleges and universities, as well as for-profit institutions. This segment sells its higher education solutions to online retailers and distribution partners, as well as directly to student through its proprietary e-commerce platform. The Global Professional segment provi…
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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.