Mercury Systems, Inc (MRCY) Fair Value & Analysis
Industrials · US · Market cap $7.1B
Analysis
Mercury Systems, Inc (MRCY) currently trades at $110.87, while our model-based Fair Value estimate is $20.19 — implying the stock looks roughly 81.8% 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
Mercury Systems, Inc., a technology company, manufactures and sells components, products, modules, and subsystems for defense prime contractors, original equipment manufacturers, government, and commercial aerospace companies. The company offers components, including power amplifiers and limiters, switches, oscillators, filters, equalizers, digital and analog converters, chips, monolithic microwave integrated circuits, and memory and storage devices; modules and sub-assemblies, such as embedded processing boards, switched fabrics and boards, digital receivers, multi-chip modules, integrated radio frequency and microwave multi-function assemblies, tuners, and transceivers, as well as graphics and video; and integrated subsystems. It also designs, develops, and manufactures digital radio frequency memory units for various modern electronic warfare applications; radar environment simulation and test systems for defense and intelligence applications; and signals intelligence payloads an…
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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.