VIQ Solutions Inc (VQSSF) Fair Value & Analysis
Technology · US · Market cap $3.3M
Fair value as of: Jun 26, 2026
Analysis
VIQ Solutions Inc (VQSSF) currently trades at $0.0464, while our model-based Fair Value estimate is $0.0806 — implying the stock looks roughly 73.6% undervalued today. We read business quality at 95/100 (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: medium) — always confirm before acting.
About the company
VIQ Solutions Inc. operates as a technology and service platform provider for digital evidence capture, retrieval, and content management in Australia, the United States, the United Kingdom, Canada, and internationally. It operates through the Technology and Related Revenue, and Technology Services segments. The Technology and Related Revenue segment develops, distributes, and licenses computer-based digital solutions based on its technology. The Technology Services segment provides recording and transcription services. The company offers CapturePro that securely speeds the capture, creation, and management of large volumes of information, as well as preserves and secures the spoken word and video image, and delivers data; MobileMic Pro for capturing and managing incident reports, recorded statements, case notes, and other information; and NetScribe, a transcription creation and management platform that consolidates, accelerates, and optimizes workflows. It also provides aiAssist, a…
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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.