Telecom Argentina S.A (TECO2) Fair Value & Analysis
Communication Services · AR · Market cap 9.4T ARS
Fair value as of: Jun 25, 2026
Analysis
Telecom Argentina S.A (TECO2) currently trades at 4,375 ARS, while our model-based Fair Value estimate is 4,083 ARS — implying the stock looks roughly 6.7% overvalued today. We read business quality at 94/100 (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
Telecom Argentina S.A., together with its subsidiaries, provides telecommunications services in Argentina, Paraguay, Uruguay, Chile and the United States. The company offers mobile telecommunications services, including voice communications, high-speed mobile internet content and applications download, online streaming, and other services; and sells mobile communication devices, such as handsets, modems, MiFi and wingles, and smartwatches. It also offers internet connectivity products, including virtual private network services, traditional internet protocol links, and other products; and programming and other cable television services. In addition, the company provides telephone services, including local, domestic, and international long-distance telephone services, as well as public telephone services; and other related supplementary services, such as call waiting, call forwarding, conference calls, caller ID, voice mail, itemized billing, and maintenance services. Further, it off…
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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.