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BKW AG (BKWAF) Fair Value & Analysis

Utilities · US · Market cap $10.7B

Price$203.65
Fair Value$122.93
Upside-39.6%
Quality95/100
Evidence: High Range $90.48 – $169.04

Analysis

BKW AG (BKWAF) currently trades at $203.65, while our model-based Fair Value estimate is $122.93 — implying the stock looks roughly 39.6% overvalued today. We read business quality at 95/100 (high quality), in the Utilities 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

BKW AG, an energy and infrastructure company, plans, builds, and operates infrastructure to produce and supply energy to businesses, households, and the public sector in Switzerland, Germany, Italy, France, and internationally. It operates in three segments: Energy Solutions, Power Grid, and Infrastructure & Buildings. The Energy Solutions segment builds, operates, and maintains its portfolio of power plants. This segment also sells energy; trades in electricity, certificates, and raw materials; and offers wind, solar, and smart energy services. Its Power Grid segment builds, operates, and maintains the company's distribution grid. The Infrastructure and Buildings segment offers engineering planning and consulting services for energy, infrastructure, and environmental projects; integrated building technology solutions; and construction and maintenance services in the fields of energy, telecommunications, transport and water utility networks. It also provides digital business models …

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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.