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Bechtle AG (BHTLF) Fair Value & Analysis

Technology · US · Market cap $5.9B

Price$46.95
Fair Value$36.37
Upside-22.5%
Quality95/100
Evidence: High Range $21.19 – $51.63

Analysis

Bechtle AG (BHTLF) currently trades at $46.95, while our model-based Fair Value estimate is $36.37 — implying the stock looks roughly 22.5% 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: high).

About the company

Bechtle AG provides information technology (IT) services in Germany, France, Benelux, and Europe. It operates through IT System House & Managed Services and IT E-Commerce segments. The company offers IT strategy consulting, hardware and software solutions, IT infrastructure consulting, modern workplace, application solutions, project planning and implementation, system integration, maintenance and training to multi cloud and managed services, and IT security services and artificial intelligence. The company also provides data centers workplace, networking, cybersecurity, IoT solutions, data and analytics, engineering and manufacturing, consulting, professional, managed, financial, and e-procurement services. In addition, it offers business applications, including business intelligence, collaboration, customer relationship management, and enterprise resource planning. Bechtle AG was founded in 1983 and is headquartered in Neckarsulm, 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.