MBB SE (MBB) Fair Value & Analysis
Industrials · DE · Market cap €968M
Fair value as of: Jun 25, 2026
Analysis
MBB SE (MBB) currently trades at €180.20, while our model-based Fair Value estimate is €162.38 — implying the stock looks roughly 9.9% overvalued today. We read business quality at 80/100 (high quality), in the Industrials 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
MBB SE, together with its subsidiaries, engages in the acquisition and management of medium-sized companies in Germany and internationally. It operates through four segments: Friedrich Vorwerk, Aumann, DTS, and Delignit. The company plans, builds, and operates systems for the transport and distribution of energy, including gas, electricity, hydrogen, and district-heating networks and facilities; offers winding technologies for electric motors, solutions for battery module and battery pack assembly, coating systems for electrode production, and systems for fuel cell production; and provides cyber security, data center, and cloud services, as well as managed services. It also develops, produces, and distributes ecological wood-based materials and system solutions, such as cargo area fittings for automotives, industrial and rail vehicle floors, fire protection and sound insulation solutions, and modular prefabricated components; manufactures tissue products comprising napkins, handkerc…
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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.