Quad/Graphics, Inc (QUAD) Fair Value & Analysis
Industrials · US · Market cap $393M
Fair value as of: Jun 24, 2026
Analysis
Quad/Graphics, Inc (QUAD) currently trades at $8.02, while our model-based Fair Value estimate is $14.71 — implying the stock looks roughly 83.4% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Quad/Graphics, Inc. provides marketing solutions in North America, Mexico, Central America, the Caribbean, Europe, the Middle East, Africa, South America, and Asia. The company operates through United States Print and Related Services, and International segments. It offers printing services, such as retail inserts, long-run publications, catalogs, special interest publications, journals, direct mail, directories, in-store marketing and promotion, packaging, newspapers, custom print products, and other commercial and specialty printed products; paper procurement services; and manufactures ink. The company also provides marketing and other services, including data intelligence and analytics, technology solutions, media planning, placement and optimization, creative strategy, and content creation, as well as execution in non-print digital and broadcast channels; and provides medical services. It serves blue-chip companies that operate in various industries and serve businesses and cons…
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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.