BAUER Aktiengesellschaft, (BRAGF) Fair Value & Analysis
Industrials · US · Market cap $263M
Fair value as of: Jun 25, 2026
Analysis
BAUER Aktiengesellschaft, (BRAGF) currently trades at $6.10, while our model-based Fair Value estimate is $5.05 — implying the stock looks roughly 17.2% overvalued today. We read business quality at 91/100 (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: high).
About the company
BAUER Aktiengesellschaft, together with its subsidiaries, provides services, equipment, and products related to ground and groundwater in Germany, Europe, the Middle East, the Asia Pacific, the Americas., and Africa. It operates in three segments: Geotechnical Solutions, Equipment, and Resources. The Geotechnical Solutions segment engages in specialist foundation engineering activities. This segment also offers services for excavation pits, as well as foundations for infrastructure projects and buildings, cut-off walls, and soil improvements. Its Equipment segment provides equipment for specialist foundation engineering, as well as for the exploration, mining, and extraction of natural resources. This segment also designs and constructs drilling rigs, trench cutters, grab units, vibrating equipment, and corresponding tools. The Resources segment provides products and services for drilling services and water wells, environmental services, constructed wetlands, and mining and remediat…
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Frequently asked questions
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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.