Vislink Technologies, Inc (VISL) Fair Value & Analysis
Technology · US · Market cap $7.4M
Fair value as of: Jun 25, 2026
Analysis
Vislink Technologies, Inc (VISL) currently trades at $2.99, while our model-based Fair Value estimate is $12.29 — implying the stock looks roughly 311.0% undervalued today. We read business quality at 92/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
Vislink Technologies, Inc. provides solutions for collecting live news, sports, entertainment, and news events for the broadcast, surveillance, and defense markets in North America, South America, Europe, Asia, and internationally. The company offers live production products and solutions, such as wireless camera transmitter and receiver products comprising HCAM, a 4K Ultra HD-capable on-camera wireless system; Quantum, an ultra-low latency and waveform agnostic central receiver; IP Link 3.0, a studio-transmitter link system that enables broadcasting service platforms to access monetization opportunities; ViewBack, a lightweight, low-power, low latency, and dual-channel diversity receiver-decoder; and other receiver products, including CRx6 and CIRAS-X6. It also provides a line of mobile encoders and TerraLink rack encoders for live streaming over 4G and 5G, and systems developed using AI technologies. In addition, the company offers military/government products and solutions, inclu…
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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.