Digimarc Corporation (DMRC) Fair Value & Analysis
Technology · US · Market cap $214M
Fair value as of: Jun 24, 2026
Analysis
Digimarc Corporation (DMRC) currently trades at $8.27, while our model-based Fair Value estimate is $5.41 — implying the stock looks roughly 34.6% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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
Digimarc Corporation provides digital identity and authentication solutions in the United States and internationally. The company offers software subscriptions and software development services. It also provides physical digimarc solutions for anti-counterfeiting, counterfeiting deterrence, product swap prevention, recycling, and secure gift cards; and digital digimarc solutions for internal compliance, leak detection, piracy prevention, provenance and authenticity, and royalty monitoring. The company's commercial solutions run on the Illuminate platform, a software as a service cloud-based platform for digital connectivity. The company serves various industries in retail, CPG, media and technology, pharmaceutical, health and wellness, apparel, and automotive industries, as well as central banks and other government customers. The company was formerly known as Digimarc Parent, Inc. and changed its name to Digimarc Corporation in May 2026. The company was incorporated in 2008 and is …
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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.