LICT Corporation (LICT) Fair Value & Analysis
Communication Services · US · Market cap $179M
Fair value as of: Jun 24, 2026
Analysis
LICT Corporation (LICT) currently trades at $11,700, while our model-based Fair Value estimate is $13,577 — implying the stock looks roughly 16.0% undervalued today. We read business quality at 95/100 (high quality), in the Communication Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
LICT Corporation, together with its subsidiaries, provides broadband, voice, and video services in the United States. The company offers high speed broadband services, including internet access through fiber optic facilities, copper-based digital subscriber lines, fixed wireless, and coax cable via cable modems. It also provides video services through traditional cable television services and internet protocol television services; voice over internet protocol services; wireless voice communications services; and other telecommunications related services. In addition, the company offers local and long-distance telephone services; access for other telephone service providers to the intra-state and interstate networks; private line connections; public access; and managed hosting services. It serves its products to residential, commercial, and governmental customers. The company was formerly known as Lynch Interactive Corporation and changed its name to LICT Corporation in March 2007. L…
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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.