Voltatron AG (VOTR) Fair Value & Analysis
Consumer Cyclical · DE · Market cap €86.0M
Fair value as of: Jun 24, 2026
Analysis
Voltatron AG (VOTR) currently trades at €4.51, while our model-based Fair Value estimate is €1.53 — implying the stock looks roughly 66.1% 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: high).
About the company
Voltatron AG provides electronics and electromobility solutions primarily for industrial applications in Germany and internationally. The company engages in the management of patents, licenses, and utility models; distribution of electrical components and customer specific assemblies; and production services, the development, manufacturing, and procure-ment and inventory management of electronic assemblies and devices. It also develops, designs, constructs, distributes, acquires, and operates stationary energy or battery storage systems, including related project development and planning services. In addition, the company offers energy and storage solutions, event and audio technology, industrial electronics, automation and IoT, and medical technology, as well as cosmetics and beauty, and gaming solutions. Further, it provides development and sample production; small, medium and large series production; printed circuit board assembly; assembly and device production; painting and pot…
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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.