Bertrandt Aktiengesellschaft (BDT) Fair Value & Analysis
Consumer Cyclical · DE · Market cap €103M
Fair value as of: Jun 25, 2026
Analysis
Bertrandt Aktiengesellschaft (BDT) currently trades at €9.28, while our model-based Fair Value estimate is €4.81 — implying the stock looks roughly 48.2% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Bertrandt Aktiengesellschaft provides engineering services. It operates through three segments: Digital Engineering, Physical Engineering, and Electrical Systems/Electronics. The Digital Engineering segment includes vehicle development services. The Physical Engineering segment undertakes business activities related to the testing and validation of and with physical component parts, components, systems and the vehicles. The Electrical Systems/Electronics segment manages software solutions, autonomous mobility, smart infotainment systems, alternative drive solutions, and strong virtual testing expertise. The company also engages in the testing, planning, project management, and CAD activities. It serves automotive, aerospace, mechanical and plant engineering, electrical, energy, and medical engineering sectors. It operates in approximately 50 locations in Germany, rest of Europe, Asia, Africa, and the United States. The company was founded in 1974 and is based in Ehningen, Germany.
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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.