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Five9, Inc (FIVN) Fair Value & Analysis

Technology · US · Market cap $1.5B

Price$19.06
Fair Value$10.30
Upside-46.0%
Quality95/100
Evidence: High Range $7.72 – $12.00

Analysis

Five9, Inc (FIVN) currently trades at $19.06, while our model-based Fair Value estimate is $10.30 — implying the stock looks roughly 46.0% 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: high).

About the company

Five9, Inc., together with its subsidiaries, provides intelligent cloud software for contact centers in the United States and internationally. It offers CX platform that delivers a suite of applications, which enables the breadth of customer service, sales, and marketing functions. The company's platform comprises AI agents, agent assist, workflow automation, AI insights, AI summaries, workforce engagement management, and revenue execution, as well as allows simultaneous management and optimization of customer interactions across voice, chat, email, web, social media and mobile channels, through our application programming interfaces. It also matches each customer interaction with an agent resource and delivers customer data to the agent in real-time through integrations with adjacent enterprise applications, such as CRM software, to optimize customer experience and enhance agent productivity, as well as offers software-as-a-service business model. The company serves customers in va…

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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.