Intouch Insight Ltd (INX) Fair Value & Analysis
Technology · CA · Market cap C$9.5M
Fair value as of: Jun 25, 2026
Analysis
Intouch Insight Ltd (INX) currently trades at C$0.3200, while our model-based Fair Value estimate is C$0.9400 — implying the stock looks roughly 193.8% 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
Intouch Insight Ltd. provides customer experience management products and software solutions in Canada, the United States, and internationally. The company's solutions and services allow clients to measure, monitor, and improve the delivery of their brand across multiple locations and/or large geographical areas, including mystery shopping, audits, merchandising, sampling, and customer capture; and Software as a Service product comprising forms and checklist automation, customer satisfaction surveys, and data aggregation, analysis, and reporting. Its software platforms include IntouchShop and IntouchAudit, data collection services; IntouchCheck, a mobile application that helps organizations to measure their operational standards internally and implement changes for improvements; and IntouchSurvey, a software application that allows businesses to perform web-based surveys to collect feedback and view results using real-time dashboards. The company also offers IntouchCapture, a softwa…
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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.