What Is SoundHound AI, Inc. (SOUN) Worth in 2026?
According to the CirclFi Deep Alpha Valuation Engine, SoundHound AI, Inc. currently lacks sufficient data across our 13-model framework. As more financial data is processed from SEC filings, our models will generate intrinsic value estimates.
What Do the Models Say About SOUN?
0 of 13 models are currently active for SOUN. See which stocks rank higher →
How Does SOUN Rank in Software - Application?
Among 263 Software - Application stocks, SOUN ranks #175 by Quality of Company score. CirclFi's QOC score of 5.7/10 evaluates 32 fundamental signals. A score of 5.7 reflects mixed fundamentals.
See all Most Undervalued Software - Application Stocks →
Within the Software - Application space, SoundHound AI, Inc. competes in an environment where annual recurring revenue (ARR) often separates market leaders from laggards. Understanding these industry-specific dynamics is essential context for interpreting our model outputs.
Is SOUN a Value Trap?
CirclFi's Value Trap algorithm assigns SOUN a score of 42/100 (WARN). This is a warning signal. Additional research into recent 10-Q filings is recommended. The score cross-references apparent undervaluation against fundamental deterioration signals. Browse lowest value-trap stocks →
Multi-Model Methodology
0 of 13 models are active for SoundHound AI, Inc.. Limited activation may indicate insufficient history. Each model applies a fundamentally different valuation philosophy. See the complete methodology →
According to the CirclFi Quality of Company (QOC) framework, which evaluates 32 signals including margin stability, revenue growth trajectory, leverage, and free cash flow generation, SoundHound AI, Inc. is rated at 5.7/10. This solid-tier score maintains reasonable quality metrics with some areas for improvement.
CirclFi runs 13 independent models for each stock. Browse all stocks with 13-model coverage →
Data Sources & Confidence
Every SOUN valuation is built from SEC EDGAR XBRL filings — 700+ standardized financial tags. Macroeconomic context from FRED calibrates discount rates, while GDELT news sentiment feeds into our Sentiment SOTP model. All pipelines run daily. Read the complete data methodology →
CirclFi's output is a research starting point, not a buy/sell signal. All data updates daily. Read the full methodology →