Aerospace Industrial Development Corporation (2634) Fair Value & Analysis
Industrials · TW · Market cap 44.4B TWD
Analysis
Aerospace Industrial Development Corporation (2634) currently trades at 49.30 TWD, while our model-based Fair Value estimate is 14.78 TWD — implying the stock looks roughly 70.0% 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: medium).
About the company
Aerospace Industrial Development Corporation engages in the manufacturing and maintenance of airplanes and its parts and component in Taiwan. It provides military aircrafts and helicopters, commercial aviation, and aero/industrial engines. It also engages in the manufacturing maintenance and upgradation of drones, military aircrafts, and air fleets; production of military hardware, as well as military aircraft engines; design and OEM production of airframe structure and sub-assembly parts; and design, processing, and OEM production of international commercial aircraft engines and parts and components. In addition, it offers aviation service, research and design application, design, manufacturing, testing, system integration, and after-sales services. Further, the company provides aircraft maintenance services, including flight line operations, intermediate, and depot level maintenance; aircraft instrument and electronics repair; aircraft accessories and harness maintenance; avionics…
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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.