Matrix Composites & Engineering Ltd (MCE) Fair Value & Analysis
Industrials · AU · Market cap A$87.6M
Fair value as of: Jun 24, 2026
Analysis
Matrix Composites & Engineering Ltd (MCE) currently trades at A$0.3950, while our model-based Fair Value estimate is A$0.2300 — implying the stock looks roughly 41.8% 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: low).
About the company
Matrix Composites & Engineering Ltd engages in the design, manufacture, and supply of engineered composite products in Australia, Brazil, the United States, the United Kingdom, Japan, and internationally. It offers autonomous underwater vehicles/unmanned underwater vehicles buoyancy, distributed buoyancy module systems, drill riser buoyancy systems, matrix longitudinal groove system (LGS) for drilling operation and surf applications; MarineShield, a wraparound corrosion protection system for the preservation of pipelines, risers, piles, and other critical field infrastructure; installation buoyancy products; and Matrix Subsea Test Center services. The company also provides Kinetica, an impact and energy absorption system; Paragon, a standard of epoxy resins and grouts; Matrix Fibrenetic, a lightweight carbon fibre repair system; and Matrix Rotolining, an internal lining system; and conductor and low friction centralizers. In addition, it offers equipment hire; Humiclean non-toxic 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.