National CineMedia, Inc (NCMI) Fair Value & Analysis
Communication Services · US · Market cap $319M
Fair value as of: Jun 24, 2026
Analysis
National CineMedia, Inc (NCMI) currently trades at $3.48, while our model-based Fair Value estimate is $1.18 — implying the stock looks roughly 66.1% 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: medium).
About the company
National CineMedia, Inc., through its subsidiary, National CineMedia, LLC, operates cinema advertising network in North America. The company engages in the sale of advertising to national, regional, and local businesses in Noovie, a cinema advertising and entertainment show seen on movie screens; and sells advertising on its Lobby Entertainment Network, a series of strategically placed screens located in movie theater lobbies, as well as other forms of advertising and promotions in theatre lobbies. It also sells digital advertising, including through NCM Boost, a data, insights and analytics platform that utilizes data; NCM Boost, a audience accelerator digital product; NCM Boomerang, retargeting solution designed to amplify post-theatre engagement; NCM Bullseye, an AI-generated creative to deliver dynamic and hyper-localized messaging; and NCM Blueprint, a real-time renovation permit data to identify homeowners who are actively engaged in remodelling projects. It offers its service…
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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.