Aerostar S.A (ARS) Fair Value & Analysis
Industrials · RO · Market cap 1.9B RON
Fair value as of: Jun 24, 2026
Analysis
Aerostar S.A (ARS) currently trades at 13.10 RON, while our model-based Fair Value estimate is 11.73 RON — implying the stock looks roughly 10.5% overvalued today. We read business quality at 89/100 (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
Aerostar S.A. engages in the manufacture, integration, upgrade, and maintenance of aviation and ground defense systems for the civil aviation industry in Romania and internationally. It offers aerostructures, components, and parts and subassemblies; and landing gear and hydraulic systems, as well as maintenance and repair services. The company is also involved in the MRO and upgrades for military aircraft; and production and integration of electronic, communication, and IFF systems on ground, naval, and aerial platforms. In addition, it manufactures ground defense systems, such as rocket launchers, variants, and configurations; firing subsystem, reconnaissance and data subsystem, command and control system, and logistic support subsystem; and military equipment, including engineering equipment, self-propelled howitzers, and armored vehicles. The company was founded in 1953 and is headquartered in Bacau, Romania. Aerostar S.A. is a subsidiary of IAROM S.A.
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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.