Fairvalue-Calculator Fairvalue-Calculator
EN DE

freenet AG (FNTN) Fair Value & Analysis

Communication Services · DE · Market cap €3.0B

Price€24.32
Fair Value€45.32
Upside+86.3%
Quality95/100
Evidence: High Range €31.89 – €62.65

Analysis

freenet AG (FNTN) currently trades at €24.32, while our model-based Fair Value estimate is €45.32 — implying the stock looks roughly 86.3% 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

freenet AG provides telecommunications, broadcasting, and multimedia services for mobile communications/mobile internet, and digital lifestyle sectors in Germany. It operates through Mobile Communications, TV and Media, and Other/Holding segments. The Mobile Communications segment engages in marketing mobile communications services, which include voice and data services from the mobile network operators; planning, set up, installation, and maintenance services for WiFi networks; and selling and distribution of mobile devices, as well as offering additional services for mobile data communications and digital lifestyle. This segment also provides network-independent services and tariffs; tariffs of the network operators; and freenet Internet, an app-based Internet product. The TV and Media segment is involved in the planning, project management, construction, operation, service, and marketing services for broadcast-related solutions for business clients in the broadcasting and media s…

Open the full interactive analysis →

Similar stocks

China Mobile Limited (600941) +36% SoftBank Group (SFTBF) +66% T-Mobile US, Inc (TM5) +4% Verizon Communications Inc (BAC) +18% AT&T Inc (SOBA) +2% Deutsche Telekom AG (DTE) +21%

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.