Digital Domain Holdings (DGMDF) Fair Value & Analysis
Communication Services · US · Market cap $351M
Fair value as of: Jun 26, 2026
Analysis
Digital Domain Holdings (DGMDF) currently trades at $0.0440, while our model-based Fair Value estimate is $0.0334 — implying the stock looks roughly 24.0% overvalued today. We read business quality at 83/100 (high quality), in the Communication Services 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
Digital Domain Holdings Limited, an investment holding company, engages in the media entertainment and trading business in Hong Kong, the People's Republic of China, the United States, Canada, the United Kingdom, India, and internationally. The company provides visual effects (VFX) production and post-production services, including visualization, pre-visualization, post-visualization, visual effects, computer graphics (CG), animation, motion capture, facial capture, virtual production, real-time game engine production, live action filming, editing, design, finishing for motion picture studios, networks, streaming services, advertisers, brands, and games. It also provides VFX production and post-production services for commercials, TV drama series, and feature films, including offline and online editing, compositing, color grading, design, music and audio, CG, and VFX production; and production services for commercials and feature films. In addition, the company is involved in develo…
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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.