SoundThinking, Inc (SSTI) Fair Value & Analysis
Technology · US · Market cap $101M
Fair value as of: Jun 24, 2026
Analysis
SoundThinking, Inc (SSTI) currently trades at $7.66, while our model-based Fair Value estimate is $5.62 — implying the stock looks roughly 26.6% 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: medium).
About the company
SoundThinking, Inc., a public safety technology company, provides data-driven solutions and strategic advisory services for law enforcement, security teams, and civic leadership. Its SafetySmart platform that includes data-driven tools comprising ShotSpotter, an outdoor gunshot detection, location, and alerting system; CrimeTracer, an agency-wide crime data and intelligence platform that enables investigators, analysts, patrol officers and command staff to search through criminal justice records from across jurisdictions, leverage dashboards, and AI-assisted tools to generate tactical leads and make intelligent connections to solve cases; CaseBuilder, a one-stop investigative case management system for tracking, reporting and collaborating on cases; ResourceRouter, a software that directs the deployment of patrol and community anti-violence resources; PlateRanger powered by Rekor, an automatic license plate recognition and vehicle identification solution; and SafePointe, an artifici…
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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.