PVA TePla AG (TPLKF) Fair Value & Analysis
Industrials · US · Market cap $1.0B
Fair value as of: Jun 24, 2026
Analysis
PVA TePla AG (TPLKF) currently trades at $50.00, while our model-based Fair Value estimate is $7.12 — implying the stock looks roughly 85.8% overvalued today. We read business quality at 95/100 (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
PVA TePla AG, together with its subsidiaries, offers systems and solutions to produce components for energy storage systems, photovoltaic modules, and wind turbines worldwide. The company operates through Semiconductor Systems and Industrial Systems segments. The Semiconductor Systems segment provides solutions and systems for the semiconductor industry, including crystal growing systems, metrology systems for quality control, and plasma systems for removing surface contamination from wafers. The Industrial Systems segment offers solutions and systems for the production and refinement of materials; surface treatment; and monitoring production processes configured primarily for the needs and requirements of other industrial areas, such as the medical, electrical, and tool industries. The solutions are used in semiconductor technology, mobility, aerospace, automotive industries, materials science, and the renewable energy industry. The company has its operations in Germany, France, It…
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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.