Matthews International Corporation (MATW) Fair Value & Analysis
Industrials · US · Market cap $796M
Fair value as of: Jun 25, 2026
Analysis
Matthews International Corporation (MATW) currently trades at $26.33, while our model-based Fair Value estimate is $14.09 — implying the stock looks roughly 46.5% 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
Matthews International Corporation provides brand solutions, memorialization products, and industrial technologies worldwide. It operates through three segments: Memorialization, Industrial Technologies, and Brand Solutions. The Memorialization segment provides bronze and granite memorials, upright granite memorials and monuments, concrete burial vaults, cremation memorialization products, granite benches, flower vases, crypt plates and letters, cremation urns, niche units, cemetery features, and statues, as well as bronze plaques, letters, emblems, vases, lights and photo ceramics, granite monuments, mausoleums, crypts, and flush memorials. The Industrial Technologies segment designs, manufactures, services, and distributes high-tech custom energy storage solutions, and product identification and warehouse automation technologies and solutions, including order fulfillment systems for identifying, tracking, picking, and conveying consumer and industrial products. This segment also p…
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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.