DMC Global Inc (BOOM) Fair Value & Analysis
Industrials · US · Market cap $144M
Fair value as of: Jun 26, 2026
Analysis
DMC Global Inc (BOOM) currently trades at $6.03, while our model-based Fair Value estimate is $1.14 — implying the stock looks roughly 81.1% overvalued today. We read business quality at 80/100 (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
DMC Global Inc. provides various products and engineered solutions for the construction, energy, and industrial processing markets worldwide. It operates through three segments: Arcadia Products, DynaEnergetics, and NobelClad. The Arcadia Products segment offers designed, engineered, fabricated, and finished aluminum framing systems, windows, curtain walls, storefronts, entrance systems, and other architectural components for use in commercial exteriors; and interior framing and partitions comprising framing systems, aluminum doors, sliding systems, and glazing systems. This segment also provides custom, fully fabricated aluminum, steel, and wood windows and doors for the home market. This segment sells its products through a national in-house sales force for buildings, such as office towers, airports, hotels, education and athletic facilities, health care facilities, government buildings, retail centers, mixed use and multi-family residential buildings, and industrial and manufactu…
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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.