Sinclair, Inc (SBGI) Fair Value & Analysis
Communication Services · US · Market cap $982M
Fair value as of: Jun 25, 2026
Analysis
Sinclair, Inc (SBGI) currently trades at $14.03, while our model-based Fair Value estimate is $6.13 — implying the stock looks roughly 56.3% overvalued today. We read business quality at 93/100 (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
Sinclair, Inc., a media company, provides content on local television stations and digital platforms in the United States. It operates through two segments, Local Media and Tennis. The Local Media segment operates broadcast television stations, original networks, and content; provides free over-the-air programming and live local sporting events on its stations; distributes its content to multi-channel video programming distributors in exchange for contractual fees; and produces local and original news programs. This segment operates The Nest, a free over-the-air national broadcast TV network; Comet, a science fiction network; CHARGE!, an adventure and action-based network; The National News Desk, a news program; and Full Measure with Sharyl Attkisson, an investigative and political analysis program, as well as podcasts related to soccer and sports programming. Its Tennis segment offers Tennis Channel, a cable network that includes coverage of tennis' top tournaments and original pro…
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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.