América Móvil, S.A. (AMXOF) Fair Value & Analysis
Communication Services · US · Market cap $84.7B
Analysis
América Móvil, S.A. (AMXOF) currently trades at $1.23, while our model-based Fair Value estimate is $1.73 — implying the stock looks roughly 40.7% 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: high) — always confirm before acting.
About the company
América Móvil, S.A.B. de C.V. provides telecommunications services in Latin America and internationally. It offers wireless and fixed-line voice services, including airtime, local, domestic, and international long-distance services; and network interconnection services. The company provides data services, such as data centers, data administration, and hosting services to residential and corporate clients; value-added services, including internet access, messaging and other wireless entertainment, and corporate services; data transmission, email services, instant messaging, content streaming, and interactive applications; and wireless security services, mobile payment solutions, machine-to-machine services, mobile banking, virtual private network services, and video calls and personal communications services. In addition, it offers residential broadband services; IT solutions to small businesses and large corporations; and cable and satellite television subscriptions. Further, the co…
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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.