PFISTERER Holding (PFSE) Fair Value & Analysis
Technology · DE · Market cap €1.9B
Analysis
PFISTERER Holding (PFSE) currently trades at €97.25, while our model-based Fair Value estimate is €37.35 — implying the stock looks roughly 61.6% overvalued today. We read business quality at 81/100 (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: medium).
About the company
PFISTERER Holding SE manufactures and sells cable fittings, insulators for overhead lines, and associated components for sensitive interfaces in energy networks and renewable energy generation. It operates through HVA, MVA, HVD, OHL, COM, segments. The HVA product segment includes a wide range of cable fittings, such as cable termination, cable joints and connections for transformers and switchgear, including pluggable bushings, pluggable surge arresters and the connex cable connector system. The MVA segment provides various system solutions and accessories that complement the product range. The HVD product segment includes cable accessories for high-voltage direct current transmission, in particular one-piece slip-on joints, outdoor cable terminations and plug-in connections for transformers and switchgear. The OHL segment offers products, solutions and services that cover everything between the pylon and the conductor. The COM segment offers bolted connection solutions, as well as…
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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.