MYTKY (MYTKY) Fair Value & Analysis
Communication Services · US · Market cap $7.4B
Analysis
MYTKY (MYTKY) currently trades at $8.96, while our model-based Fair Value estimate is $15.57 — implying the stock looks roughly 73.8% 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
Magyar Telekom Távközlési Nyilvánosan Müködö Részvénytársaság provides fixed-line and mobile telecommunication services for residential and business customers in Hungary, Bulgaria, Romania, and the Republic of North Macedonia. It operates through MT-Hungary and North Macedonia segments. The company offers TV distribution, information communication, and system integration services; prepaid and postpaid plans; TV, broadband, and phone packages; and data options, as well as sells telecommunications networks and equipment. It also provides mobile services, including mobile plans and internet, roaming, international calling, SIM services, network and audio extenders; wired services, such as wired internet, Wi-Fi system, network development; IoT and data transfer services, such as data transmission service and leased line internet; instant office services; mobile, home, and TV packages; number portability; top-up cards; channel allocation; accessories; and home phone, insurances, parking,…
Open the full interactive analysis →
Similar stocks
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.