Sprinklr, Inc (CXM) Fair Value & Analysis
Technology · US · Market cap $1.2B
Fair value as of: Jun 24, 2026
Analysis
Sprinklr, Inc (CXM) currently trades at $4.97, while our model-based Fair Value estimate is $6.65 — implying the stock looks roughly 33.8% undervalued today. We read business quality at 97/100 (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: high) — always confirm before acting.
About the company
Sprinklr, Inc. provides enterprise cloud software products worldwide. The company operates Unified Customer Experience Management platform, a software that enables customer-facing teams to collaborate across internal silos, communicate across digital and traditional channels, and leverages AI to deliver customer experiences. Its products include Sprinklr Service, a suite of artificial intelligence (AI) based products and solutions that unifies customer service across voice, digital, and social channels; Sprinklr Social, a suite of AI-powered products and solutions that unifies social media publishing, engagement, and analytics across various channels; Sprinklr Insights, a suite of AI-based products and solutions that delivers consumer intelligence and helps to manage customer feedback; and Sprinklr Marketing, a suite of AI-based products and solutions that unifies content production and content lifecycle management with paid campaigns across various channels. The company also provid…
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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.