Cellnex Telecom, S.A (CLNXF) Fair Value & Analysis
Real Estate · US · Market cap $21.9B
Fair value as of: Jun 25, 2026
Analysis
Cellnex Telecom, S.A (CLNXF) currently trades at $33.45, while our model-based Fair Value estimate is $65.07 — implying the stock looks roughly 94.5% undervalued today. We read business quality at 91/100 (high quality), in the Real Estate 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
Cellnex Telecom, S.A. engages in the management of terrestrial telecommunications infrastructures in France, Italy, the United Kingdom, Spain, Poland, the Netherlands, Portugal, Switzerland, Denmark, Sweden, Ireland, and Austria. It operates through four segments: Towers; DAS, Small Cells, and RAN as a Service; Fiber, Connectivity, and Housing Services; and Broadcast. The Towers segment provides integrated network passive infrastructure services; other wireless telecommunications; and broadband network operators services, as well as colocation and engineering services. The DAS, Small Cells, and RAN as a Service segment offers services, such as RAN as a Service, which entails the emission and transmission active services; PPDR services comprising active infrastructure management for public administrations, including TETRA and 4G/LTE mission critical service networks; operation and maintenance; infrastructure support services; and other services that include smart cities/Internet of T…
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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.