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Montana Aerospace AG (MTASF) Fair Value & Analysis

Industrials · US · Market cap $1.7B

Price$26.50
Fair Value$13.05
Upside-50.8%
Quality94/100
Evidence: High Range $9.95 – $18.72

Analysis

Montana Aerospace AG (MTASF) currently trades at $26.50, while our model-based Fair Value estimate is $13.05 — implying the stock looks roughly 50.8% overvalued today. We read business quality at 94/100 (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

Montana Aerospace AG design, develop, and manufacture system components and complex assemblies worldwide and complex assemblies worldwide. The company operates through Aerostructures and Alpine Metal Tech segments. It manufactures mission-critical components for aviation and space applications, which includes structural components for fuselage, wings, and landing gear; critical engine parts exposed to thermal and mechanical stresses; and large-format extrusion products, as well as high-precision titanium and aluminum components. The company also provides customized high-tech solutions for the steel, automotive, aerospace industries. In addition, it provides machines and automation solutions for machining, production control/optimization, testing, handling, and surface inspection of aluminum wheels for the aerospace, automotive, railway, and steel industries. Montana Aerospace AG was founded in 1814 and is headquartered in Reinach, 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.