Innovative Aerosystems, Inc (ISSC) Fair Value & Analysis
Industrials · US · Market cap $308M
Fair value as of: Jun 24, 2026
Analysis
Innovative Aerosystems, Inc (ISSC) currently trades at $16.39, while our model-based Fair Value estimate is $15.69 — implying the stock looks roughly 4.3% 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
Innovative Aerosystems, Inc., engages in the engineering, manufacturing, and supply of advanced avionic solutions. The company provides autothrottles; LPV Navigators; standby displays; COM/NAV/surveillance radio management systems; air data solutions; inertial reference systems; utilities management systems; and air data, attitude and heading reference systems. It also offers flat panel display systems, inertial reference systems, integrated global navigation systems, global positioning systems, c-130 engine instrument display systems, liberty flight deck, and communications/navigation products. The company serves business aircrafts, commercial airlines, military, virtual cp-pilots, and turbo prop. The company was formerly known as Innovative Solutions and Support, Inc. and changed its name to Innovative Aerosystems, Inc. in October 2025. Innovative Aerosystems, Inc. was incorporated in 1988 and is based in Exton, Pennsylvania.
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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.