EGAN · NASDAQ
Technology · Software - Application
$5.93
+2.42%
Close on Oct 29, 2026
Research data through 2026-10-28
Long-term research evidence only. No price targets, no trading signals, no recommendations.
Free research · no account required
Research data through Oct 28, 2026. Research is updated periodically, not in real time.
63
of 100 · stored research reading
Stored Quality research reads 63 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 measured92
of 100 · stored research reading
Stored Fundamental Momentum research reads 92 of 100. Stored measurements classify recent reported fundamentals as accelerating. 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 measured73
of 100 · stored research reading
Stored Capital Returns research reads 73 of 100, recorded as strong. No dividend is recorded for this company, so the reading rests on buybacks and dilution control. Share count has been reduced at about 2.9% 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 measuredStored 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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Plain-English definitions, with the formula and the limitations of each measure.
In the company’s own words
eGain powers AI-driven knowledge management for the enterprise. We sell our SaaS platform to enterprises that want to deliver trusted, consumable answers to customers, employees, and AI agents — aiming to reduce cost and improve outcomes across knowledge-intensive workflow. Our platform centralizes enterprise knowledge and puts it to work across customer service, employee support, and AI-powered automation. We are headquartered in Sunnyvale, California, USA. We also operate in the United Kingdom and India.
In July 2026, Gartner named eGain a Leader in the first-ever Magic Quadrant for Customer Service Knowledge Management Systems, positioned highest for Ability to Execute and furthest for Completeness of Vision. Our solutions are used by large enterprises and government organizations across North America and Europe.
Our assessment, based on more than two decades of serving clients, is that good contact center agents ignore most information piled on their screens across multiple windows and tabs when they are interacting with customers. They focus on the customer conversation. Meanwhile, businesses expect agents to remember and refresh growing know-how that is needed to answer customer questions across complex, expanding product portfolios and compliance-heavy processes, and then recall it contextually in the moment of truth, when the customer is on the line. In addition, this is expected of an entry-level workforce that is not well-paid, routinely replaced, and globally dispersed, mainly for cost reasons. This knowledge and guidance gap helps explain why Gartner has identified knowledge management systems, alongside live chat and self-service portals, as essential tools for fast, scalable support, and why 58% of customer service leaders in a Gartner survey published in December 2025 said they plan to upskill agents into knowledge management specialists.
In a world selling commoditized, yet complex products to time-strapped customers, smart tools must increasingly automate self-service interactions and augment agent-assisted customer experiences. In a hybrid workplace, businesses realize that they need to invest in tools that can guide agents and customers with trusted answers, ensuring compliance. Further, AI investments are struggling to deliver value at scale because of the "Garbage In Garbage Out" problem of fragmented knowledge content across an enterprise. We believe the answer is a centralized knowledge hub, a single source of truth that is powered by AI and orchestrated by experts in the loop. Gartner expects this shift to accelerate, predicting that by 2028, 40% of large enterprises will adopt AI-powered customer service knowledge automation, up from less than 5% in 2025.
Quoted from the business section of this company’s 10-K filed September 10, 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.
