Wacker Neuson SE (WKRCF) Fair Value & Analysis
Industrials · US · Market cap $1.6B
Analysis
Wacker Neuson SE (WKRCF) currently trades at $23.29, while our model-based Fair Value estimate is $27.10 — implying the stock looks roughly 16.4% undervalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Wacker Neuson SE manufactures and distributes light and compact equipment in Germany, Austria, the United States, and internationally. It operates in three segments: Light Equipment, Compact Equipment, and Services. The company provides battery-powered rammers, vibratory plates and rollers for soil compaction, internal vibrators for concrete compaction, and mini excavators, as well as charging solutions. It also offers compact equipment, including track and wheeled excavators, wheel loaders, tele wheel loaders, skid steer loaders, telehandlers, wheel and track dumpers, and backhoe loaders, as well as related product attachments and accessories. In addition, the company provides repair and maintenance services; spare parts; used equipment, financing, telematics, training, e-business, and rental solutions; and digital service solutions. Further, it offers demolition and lighting products, pumps, heaters, generators, farm loaders, articulated wheels, and interchangeable batteries and c…
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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.