Daktronics, Inc (DAKT) Fair Value & Analysis
Technology · US · Market cap $1.0B
Fair value as of: Jun 24, 2026
Analysis
Daktronics, Inc (DAKT) currently trades at $20.11, while our model-based Fair Value estimate is $16.47 — implying the stock looks roughly 18.1% 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: high).
About the company
Daktronics, Inc. designs, manufactures, and sells electronic scoreboards, programmable display systems, and large screen video displays for sporting, commercial, and transportation applications in the United States and internationally. It operates through Commercial, Live Events, High School Park and Recreation, Transportation, and International segments. The company offers video display and walls; scoreboards and timing systems; LED message displays and sings; intelligent transportation systems dynamic message signs; mass transit display; sound systems; and digital billboards and street furniture, and digit and price displays. It also provides indoor dynamic messaging systems; and software and controllers, which includes Venus, a control suite software to control the creation of messages and graphic sequences for uploading to displays. The company serves out-of-home companies, retailers, quick-serve restaurants, casinos, shopping centers, cruise ships, commercial building owners, 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.