DAM (DAM) Fair Value & Analysis
Technology · DE · Market cap €106M
Fair value as of: Jun 25, 2026
Analysis
DAM (DAM) currently trades at €29.80, while our model-based Fair Value estimate is €20.96 — implying the stock looks roughly 29.7% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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: low).
About the company
DATA MODUL Aktiengesellschaft Produktion und Vertrieb von elektronischen Systemen, together with its subsidiaries, manufactures and distributes flatbed displays, monitors, electronic subassemblies, and information systems in Germany and internationally. It operates in two segments, Displays and Systems. The company offers hardware components, including optical and structural bonding; custom, TFT, Mip, e-paper, passive, miniLED, and OLED displays, as well as LED solutions; touch solutions, such as easyTOUCH starter kit, PCAP products, custom touch sensors and tails, and software and tuning; electronics comprising eMotion LCD controller boards, single board computers, and computer-on-modules; peripherals, which include core components, encoders and operating elements, cables, power supply, colling solutions, display and monitor accessories, and other products; cover glass; digital signage products; and monitors and panel PCs. It also provides software solutions, such as operating syst…
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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.