ecotel communication ag (E4C) Fair Value & Analysis
Communication Services · DE · Market cap €27.6M
Fair value as of: May 31, 2026
Analysis
ecotel communication ag (E4C) currently trades at €7.80, while our model-based Fair Value estimate is €4.42 — implying the stock looks roughly 43.3% overvalued today. We read business quality at 95/100 (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
ecotel communication ag engages in the marketing of information and telecommunications solutions for startups, and small and medium-sized companies in Germany and internationally. It operates through Ecotel Business Customers and Ecotel Wholesale segments. The Ecotel Business Customers segment offers voice and data services. Its Ecotel Wholesale Solutions segment provides cross-network trading services in telephone minutes; and marketing of data lines for national and international carriers. The company also offers online audio services for hosting streaming, podcasts, and service offerings; cloud telephony products, including cloud-based phone system plans and to go, and premium cloud phone systems; SIP telephony products consisting of SIP trunk tariffs, trunk to go, and trunk premium; internet products, including internet tariffs, DSL, FTTH, fiber optics and VDSL, and SD-WAN; and MPLS VPN, housing, hosting, and service call number solutions. It sells its products through its onlin…
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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.