Nynomic AG (M7U) Fair Value & Analysis
Technology · DE · Market cap €136M
Fair value as of: Jun 24, 2026
Analysis
Nynomic AG (M7U) currently trades at €18.70, while our model-based Fair Value estimate is €10.85 — implying the stock looks roughly 42.0% overvalued today. We read business quality at 90/100 (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: medium).
About the company
Nynomic AG, together with its subsidiaries, manufactures and sells products for permanent, non-contact, and non-destructive optical measurement technology. The company also supplies customized system solutions in the areas of control engineering, sensor technology, and laboratory automation or spectrometry; components and systems for industrial optical spectroscopy, including UV-VIS-NIR and Raman diode array spectroscopy with associated software solutions; and develops and manufactures optical measurement systems for various applications. In addition, it provides spectrometers, light sources for UV, VIS, and NIR, as well as fibre optics or optical waveguides, accessories, and customer-specific products for OEM applications, as well as scientific market; optical measurement and control technology systems; process-integrated measurement technology solutions; and hardware and software systems for digital plant phenotyping and high-throughput screening fields. Further, the company devel…
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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.