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Bystronic AG (BYSTF) Fair Value & Analysis

Industrials · US · Market cap $541M

Price$262.10
Fair Value$184.96
Upside-29.4%
Quality91/100
Evidence: Low Range $122.07 – $231.20

Analysis

Bystronic AG (BYSTF) currently trades at $262.10, while our model-based Fair Value estimate is $184.96 — implying the stock looks roughly 29.4% 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: low).

About the company

Bystronic AG, through its subsidiaries, engages in the provision of sheet metal processing solutions for laser cutting technology, press brakes, automation, and software applications in Switzerland. It offers laser cutting machine, laser automation, press brakes, bending automation, and tube laser cutting solutions under the ByCut, ByStar, BySmart, ByTube, ByTrans, BySort, Byloader, ByTower, Xpert, ByBend, Xpress, and DNE brands. The company also provides customer advisory, and machine and software training services; parts, tools and consumables; power upgrades; and ByCare services. It sells its products through a network of dealers and agents in approximately 30 countries, including Europe, North America, and Asia. The company was formerly known as Conzzeta AG and changed its name to Bystronic AG in May 2021. Bystronic AG was founded in 1912 and is headquartered in Niederönz, Switzerland.

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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.