Magellan Aerospace Corporation (MAL) Fair Value & Analysis
Industrials · CA · Market cap C$1.8B
Analysis
Magellan Aerospace Corporation (MAL) currently trades at C$30.99, while our model-based Fair Value estimate is C$14.39 — implying the stock looks roughly 53.6% overvalued today. We read business quality at 95/100 (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
Magellan Aerospace Corporation engineers and manufactures aeroengine and aerostructure components for aerospace markets in Canada, the United States, and Europe. The company offers aero engine products, such as laser welded honeycomb and filament wound tubes, frames, compressor components, bypass ducts, hot section components, and aeroengine and helicopter drive shafts, as well as other flight safety critical machined components, including discs, seals, and spacers; and aerostructures comprising landing gear systems, wing ribs, spars and skins, bulkheads and fuselage components, tailcone assemblies, composite wing and fairing structures, horizontal and vertical stabilizers, plug and nozzle, exhaust systems, crown modules, and vane boxes and transition ducts. It also designs, engineers, and manufactures assemblies and components for aerospace markets, governments, space markets, and specialty products; wire strike protection systems for helicopter safety; space solutions, including s…
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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.