Megacable Holdings (MEGACPO) Fair Value & Analysis
Consumer Cyclical · MX · Market cap 51.6B MXN
Analysis
Megacable Holdings (MEGACPO) currently trades at 58.98 MXN, while our model-based Fair Value estimate is 77.05 MXN — implying the stock looks roughly 30.6% undervalued today. We read business quality at 93/100 (high quality), in the Consumer Cyclical 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
Megacable Holdings, S. A. B. de C. V., together with its subsidiaries, engages in the installation, operation, and maintenance of cable television, internet, and telephone signal distribution systems. It operates through Cable, Internet, Telephone services, Corporate, and Other segments. The company operates cable television systems in various states of Mexico; and offers high-speed internet services to residential and commercial customers, as well as digital fixed telephony services to residential and commercial customers. It also produces and broadcasts TV programs, as well as offers point-of-sale, virtual private network, and other network services. The company provides video services to 3,539,822 subscribers; Internet services to 3,833,893 subscribers; and telephony services to 3,031,119 subscribers. It is also involved in the leasing of equipment and infrastructure for providing cable, internet, and telephone services; provision of technical, sales, and administrative staff ser…
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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.