Ziff Davis, Inc (ZD) Fair Value & Analysis
Communication Services · US · Market cap $1.8B
Fair value as of: Jun 25, 2026
Analysis
Ziff Davis, Inc (ZD) currently trades at $48.55, while our model-based Fair Value estimate is $31.11 — implying the stock looks roughly 35.9% 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
Ziff Davis, Inc., together with its subsidiaries, operates as a digital media and internet company in the United States and internationally. It offers online resources for laboratory-based product reviews, technology news, buying guides, and research papers under the PCMag and CNET brands; Mashable for publishing technology and culture content; Spiceworks provides digital content of IT products and services; RetailMeNot, a savings destination platform; VoucherCodes; Offers.com, a coupon and deals website; and event based properties, includes BlackFriday.com, TheBlackFriday.com, BestBlackFriday.com, and DealsofAmerica.com. It also offers gaming and entertainment platforms under the IGN Entertainment and Humble Bundle brands; and information on internet connectivity under the Speedtest, Ookla, Ekahau, Downdetector, and RootMetrics brands. The company also offers digital content and information services for health and wellness consumers under the Everyday Health, DailyOM, Lose It!, Cas…
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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.