Company research

FIVN · NASDAQ

Five9 Inc

Technology · Software - Infrastructure

$37.41

-0.58%

Close on Oct 29, 2026

Research data through 2026-10-28

Long-term research evidence only. No price targets, no trading signals, no recommendations.

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Pro Investor Academy research

Research data through Oct 28, 2026. Research is updated periodically, not in real time.

Quality

61

of 100 · stored research reading

Stored Quality research reads 61 of 100, a middle-of-the-universe reading. The measurements behind it are mixed.

Quality research measures durability of the business itself from stored fundamentals: balance-sheet strength, profitability consistency and cash generation. It is a research reading, not a prediction of future returns.

How this is measured

Fundamental Momentum

Middle

57

of 100 · stored research reading

Stored Fundamental Momentum research reads 57 of 100. Stored measurements classify recent reported fundamentals as middle. This describes reported financial change already disclosed, with no forward-looking claim.

Fundamental Momentum research measures the direction of recently reported company fundamentals compared with the company's own history. It describes reported change, not future price movement.

How this is measured

Capital Returns

Weak

35

of 100 · stored research reading

Stored Capital Returns research reads 35 of 100, recorded as weak. No dividend is recorded for this company, so the reading rests on buybacks and dilution control. Share count has increased at about 4.9% a year in the stored window.

Capital Returns research measures how a company has actually returned cash to shareholders: dividend record, buyback effectiveness, dilution control and how those payments were funded.

How this is measured

Valuation context

Price / earnings
47.3

Stored ratios recorded at the last research date (2026-10-28). Valuation Intelligence remains research context and is not a validated allocation signal.

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In the company’s own words

What this company does

Five9 is a leading provider of intelligent customer experience, or CX, platform for enterprise contact centers. With a foundation in our cloud-native solution, Five9 is now evolving into an AI-native CX platform, empowering enterprises to scale seamlessly, innovate faster, and deliver enhanced customer experiences as the market opportunity continues to expand. Our reliable, secure, and scalable Intelligent CX Platform, powered by our Five9 Genius AI suite, delivers a comprehensive suite of easy-to-use applications that enable the breadth of customer service, sales, and marketing functions. We have become an established leader in the AI-powered CX market with more than 3,000 customers. We believe our end-to-end, AI-powered CX platform creates a significant advantage by orchestrating interactions across all channels throughout the customer journey.

We believe there are two key industry trends driving growth in the cloud contact center market.

First is the increasing adoption of cloud-based solutions within companies around the world, which is creating strong demand for integrated cloud contact center software solutions. Cloud contact center solutions offer the functionality, reliability, scalability and security required by large, complex enterprise contact centers. Furthermore, organizations periodically refresh their on-premises contact center systems, which provides an opportunity for cloud solutions to replace legacy on-premises contact center systems. On-premises systems require large up-front investments, long deployment cycles, and are burdensome to scale and maintain. These systems are also often inflexible, complex, and require significant duplication of effort and integration across multiple sites. AI technologies generally require cloud deployment and, therefore, provide additional incentives for customers to migrate away from their legacy on-premises solutions. In addition, agents increasingly work remotely, which presents a challenge to on-premises based systems that, by design, provide capabilities within a specific physical location. This creates substantial challenges for customers with on-premises contact center systems. As a result, cloud contact center software solutions are continuing to replace legacy on-premises contact center systems. These cloud contact center systems provide organizations with the agility to adapt to rapidly evolving customer demands and leverage innovative functionalities to improve engagement.

Second is advancements in artificial intelligence, or AI. AI is a significant advancement to improve customer experience across self-service, agent assistance, managerial insights, and workflow automation use cases. This often provides significant operational efficiencies and improved business insights and intelligence. The recent advances in Generative AI, including Large Language Models, or LLMs, enable new capabilities in contact centers that were not previously possible. Our Genius AI suite is a comprehensive portfolio of AI solutions that uses Generative AI to power agentic CX. For instance, our agentic AI Agents solution redefines virtual agents, with the power of Generative AI, to deliver a hyper-personalized customer experience, unlocking additional efficiencies with automation. Our AI Summaries capability uses Generative AI to automatically summarize a call, reducing after-call work time. Natural language voice and chat-bots, using Generative AI, provide speech recognition, intent detection, and text-to-speech technologies to quickly and effectively handle mundane contact center tasks, allowing agents to focus on more complex issues. Generative AI technologies are also used in our AI Insights product, which gives customers an understanding of the reasons for customer calls, provides customer sentiment, and call resolution status, with little up-front configuration or setup.

Quoted from the business section of this company’s 10-K filed February 20, 2026. Read the filing

General research only. Not personalized advice. Public filings may be delayed, amended, incomplete, or reflect positions that have changed since the reporting date.