Acacia Research Corporation (ACTG) Fair Value & Analysis
Industrials · US · Market cap $452M
Fair value as of: Jun 24, 2026
Analysis
Acacia Research Corporation (ACTG) currently trades at $4.79, while our model-based Fair Value estimate is $4.71 — implying the stock looks roughly 1.7% overvalued today. We read business quality at 87/100 (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
Acacia Research Corporation operates as an acquirer and operator of businesses across industrial, energy, and technology sectors in the Americas, Europe, the Middle East, Africa, and the Asia-Pacific. It operates through four segments: Intellectual Property Operations, Industrial Operations, Energy Operations, and Manufacturing Operations. The company is involved in investing in IP; and licensing and enforcement of patented technologies. It also designs and manufactures printers, including hardware and embedded software, as well as consumable products, such as inked ribbons for various industrial printing applications. In addition, the company acquires, explores, develops, and produces oil and natural gas resources located in Texas and Oklahoma. Further, it designs and manufactures purchase brochure, folder, and applications display holders; plastic injection-molded office supply, as well as arts, crafts, and education products; plastic and aluminum air venting and air control produ…
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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.