Cable One, Inc (CABO) Fair Value & Analysis
Communication Services · US · Market cap $243M
Fair value as of: Jun 25, 2026
Analysis
Cable One, Inc (CABO) currently trades at $45.28, while our model-based Fair Value estimate is $44.36 — implying the stock looks roughly 2.0% 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
Cable One, Inc., together with its subsidiaries, provides data, video, and voice services to residential and business customers in the United States. The company offers residential data services, a service to enhance Wi-Fi signal throughout the home, as well as expert technology support and network security services. It also provides various residential video services from basic video service to digital services with access to hundreds of channels. In addition, the company offers Sparklight TV, an IPTV video service and a cloud-based digital video recorder (DVR) service that allows customers to stream video channels from the cloud through a new app on supported devices, such as the Amazon Firestick, Apple TV, and Android-based smart televisions that does not require the use of a set-top box. Further, it provides traditional telecommunications services; residential voice services; fiber optic-based products include dark fiber, E-Line, E-Lan and E-Access ethernet services; and network…
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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.