ATN International, Inc (ATNI) Fair Value & Analysis
Communication Services · US · Market cap $395M
Fair value as of: Jun 24, 2026
Analysis
ATN International, Inc (ATNI) currently trades at $26.70, while our model-based Fair Value estimate is $19.35 — implying the stock looks roughly 27.5% overvalued today. We read business quality at 80/100 (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
ATN International, Inc., through its subsidiaries, provides digital infrastructure and communications services to residential, business, and government customers in the United States, Guyana, the US Virgin Islands, Bermuda, and internationally. It operates through International Telecom and US Telecom segments. The company offers fixed data and voice telecommunication services comprising fiber broadband and data solutions; carrier telecommunication services consisting of the leasing of tower and transport facilities, wholesale roaming and long-distance voice services, site maintenance, and international long-distance services; and mobile telecommunication services over wireless networks, including voice, messaging, and data services. It also provides information technology managed services, such as network, application, infrastructure, and hosting services; and repairs and sells handsets and other accessories. ATN International, Inc. was formerly known as Atlantic Tele-Network, Inc. …
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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.