comScore, Inc (SCOR) Fair Value & Analysis
Technology · US · Market cap $107M
Fair value as of: Jun 25, 2026
Analysis
comScore, Inc (SCOR) currently trades at $6.91, while our model-based Fair Value estimate is $2.75 — implying the stock looks roughly 60.2% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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
comScore, Inc. operates as an information and analytics company that measures audiences, consumer behavior, and advertising across media platforms in the United States, Europe, Latin America, Canada, and internationally. It provides Comscore TV"National that helps customers understand the performance of network advertising campaigns; Comscore TV"Local allows customers to understand consumer viewing patterns and characteristics; Media Metrix Multi-Platform and Mobile Metrix, which measure websites and applications on computers, smartphones, and tablets; Video Metrix that delivers measurement of digital video consumption; Plan Metrix, which offers understanding of consumer lifestyle; Total Home Panel Suite, which capture OTT, connected TV, and IOT device usage and content consumption; CCR, which enhances validated campaign essentials verification of mobile and desktop video campaigns; Comscore marketing solutions; Lift Models, which measures the impact of advertising on a brand; and S…
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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.