eGain earnings date
eGain (EGCA) Q1 2027 Earnings Report
DE:EGCA Q1 2027 EPS Results
- Actual EPS
- EUR 0.08
- Consensus EPS
- EUR 0.05
- Beat/Miss
- Beat by +EUR 0.03
- One Year Ago EPS
- EUR 0.15
DE:EGCA Q1 2027 Revenue Results
- Actual Revenue
- EUR 19.84M
- Expected Revenue
- EUR 19.15M
- Beat/Miss
- Beat by +EUR 688.53K
- YoY Revenue Growth
- -6.98%
Earnings Announcement Details
- Quarter
- Q1 2027
- Date
- 11/05/2026
- Time
- After Close
- Conference Call
- Thursday, November 5, 2026
eGain's next earnings date is estimated for February 10, 2027, based on past reporting schedules.
Q1 2027 Earnings Call Audio
Q1 2027 Earnings Slide Deck
Q1 2027 Earnings Call Summary
The call was predominantly positive, with first-quarter revenue and profitability ahead of guidance, strong AI customer revenue and ARR growth, Gartner leadership recognition, customer proof points, new customer wins, expanding demand indicators, substantial liquidity, and reiterated full-year guidance. The main challenges were the planned runoff of the legacy business, lower total SaaS ARR and retention, margin and profitability declines, reduced operating cash flow, and expected near-term profitability pressure from higher go-to-market investment.
For the second quarter of fiscal 27, management expects total revenue of $21 million to 21.5 million, AI customer revenue of $14.5 million to 14.8 million, GAAP net loss of $500 thousand to net income of $200 thousand or a loss of $0.02 to an income of $0.01 per share, including approximately $700 thousand of stock based compensation expense, non GAAP net income of $200 thousand to $900 thousand or $0.01 to $0.03 per share, and Adjusted EBITDA of breakeven to $500 thousand or a margin of 0% to 2%; for the full year ending June 30, 2027, management expects total revenue of $84.5 million to $86 million, AI customer revenue of $59.5 million to 60.5 million representing growth of approximately 8% to 10%, continues to target approximately 20% year-over-year growth in AI customer ARR as of June 30, 2027, GAAP net loss of $2 million to $3 million or $0.08 to $0.11 per share, including approximately $4 million of stock based compensation expense, non GAAP net income of $1 million to $2 million or $0.04 to $0.07 per share, Adjusted EBITDA of $650 thousand to $1.4 million or a margin of 1% to 2%, and weighted average shares outstanding of approximately 25.8 million for the second quarter and 26 million for the full fiscal year; the full year outlook continues to assume an approximately 30% decline in legacy business revenue, and fiscal 2030 targets include AI customer ARR of $100 million to 120 million, a 17% to 20% compounded annual growth rate, total SaaS ARR of $100 million to $120 million, AI customer revenue of $105 million to $115 million, total revenue of $110 million to $120 million with AI customer revenue approximately 95% of the total, SaaS gross margins of approximately 80%, and positive adjusted EBITDA margins as we invest in growth.
- First-Quarter Revenue and Profitability Beat GuidanceTotal revenue was $21.9 million, above the high end of guidance and Street consensus. Management said first-quarter revenue and profitability came in ahead of guidance.
- AI Customer Revenue GrowthAI customer revenue increased 7% year over year to $14.4 million and represented 66% of total revenue.
- AI Customer ARR ExpansionAI customer ARR increased 11% year over year to $54.5 million and represented 74% of total SaaS ARR as of September 30, up from 65% a year ago and 72% at the end of fiscal 2026.
- Gartner Category LeadershipGartner published its first Magic Quadrant for Customer Service Knowledge Management Systems and named eGain a leader. eGain was positioned highest in ability to execute and furthest in completeness of vision, and received the highest product score for the compliance-driven service center use case in Gartner's companion Critical Capabilities report.
- AI Knowledge Foundation Market ValidationIDC research sponsored by eGain found that 95% of surveyed organizations were already evaluating, piloting, or running AI in knowledge processes. IDC reported that leaders achieved roughly 2x the improvement of laggards on every business impact measured; half of leaders operated a fully operational unified knowledge platform versus 5% of laggards, and 94% of leaders had automated more than half of their knowledge processes versus 36% of laggards.
- Customer Financial Services Use Case ResultsCountry Financial provided trusted answers to more than 2,500 field agents through eGain, with answer accuracy above 96%, home-office escalations from field agents down 25% in the first month, and adoption reaching 70% without mandates or incentives.
- Healthcare Customer Routing ImprovementA New York-based health insurer published one government update to 6,500 users across 50 personalized portals and used that knowledge in call routing, reducing misrouted contacts by 76% within 30 days.
- Enterprise-Wide Knowledge ExpansionPhilip Morris International was running 64 markets across multiple languages on one governed eGain knowledge base. Management said the customer's knowledge use had expanded beyond customer care into IT, marketing, and field operations.
- Launch of AI Knowledge Ops and Five New CapabilitieseGain introduced AI Knowledge Ops as a framework for continuously identifying answer gaps, preparing knowledge, testing AI answers, and feeding user learnings back into the process. The five announced capabilities were WiCA for analyzing customer conversations inside the customer's firewall; K Forge for converting siloed content into AI-ready knowledge with expert approval for high-risk content; knowledge graphs for helping AI agents navigate business information; Genie for conversational content, reporting, and workflow creation; and Smart Evaluator for continuously testing AI pipelines and identifying likely causes of incorrect answers.
- Reduced Knowledge-Preparation EffortFor a major financial services company, eGain ran the AI Knowledge Ops process for the first time in about 10 person-weeks. The company had expected the exercise to take 1 to 2 years.
- New Customer Wins and ExpansionsDuring the quarter, eGain signed several new customers and expansions, including Technology Credit Union, which is building a knowledge foundation across its contact center, digital banking, branches, and back office, and a multibillion-dollar consumer packaged goods company deploying an AI agent to more than 1,000 plant-floor operators. An additional new logo, one of the oldest and largest investment management companies in America, was closed in early October and is deploying eGain as a knowledge foundation for AI projects and thousands of employees.
- Expansion Within Existing CustomersA large U.S. mutual insurer expanded eGain alongside its Salesforce investment and is making governed eGain knowledge available inside Salesforce AI. An international bank added real-time knowledge access so knowledge initially built for customer service could flow into additional bank systems and user groups.
- Improving Demand GenerationThe Gartner Magic Quadrant campaign became one of eGain's most productive digital marketing programs, generating new conversations across North America and Europe. Event-sourced leads nearly doubled year over year during the quarter, and management reported more large-enterprise RFPs, many of them inbound.
- Expanded Go-to-Market CoverageeGain established focused go-to-market teams targeting banks and credit unions, healthcare, and government, supported by a self-sign-up initiative and a growing partner network. Management said credit unions were becoming a vertical that eGain was pursuing in a dedicated way.
- Strong Liquidity and No DebteGain ended the quarter with $71.3 million in cash and cash equivalents and no debt. Management said the balance sheet and operating cash generation provide flexibility to fund AI growth initiatives.
- Share Repurchases and Capital ReturnDuring the quarter, eGain repurchased approximately 644,000 shares for $3.6 million at an average price of $5.64 per share. Since the start of fiscal 2026, the company had returned $15.2 million to shareholders through repurchases of approximately 2.3 million shares, with approximately $6 million remaining under the authorization.
- Full-Year Guidance ReiteratedFor fiscal 2027, eGain reiterated total revenue guidance of $84.5 million to $86 million and AI customer revenue guidance of $59.5 million to $60.5 million, representing approximately 8% to 10% growth. The company continues to target approximately 20% year-over-year growth in AI customer ARR as of June 30, 2027.
- Long-Term AI Growth TargetsFor fiscal 2030, eGain targets AI customer ARR of $100 million to $120 million, representing a 17% to 20% compounded annual growth rate from approximately $54 million in fiscal 2026; AI customer revenue of $105 million to $115 million; total revenue of $110 million to $120 million; AI customer revenue at approximately 95% of total revenue; and SaaS gross margins of approximately 80% with positive adjusted EBITDA margins.
- AI Platform and Go-to-Market InvestmentManagement said it is prioritizing investment in AI growth across product development and go-to-market. Sales and marketing investments are expected to increase over the remaining three quarters, including expanded marketing programs and additional sales development representative capacity to convert leads into opportunities.
DE:EGCA Earnings History
| Report Date | Fiscal Quarter | Forecast / EPS | Last Year's EPS | EPS YoY Change | Press Release |
|---|---|---|---|---|---|
| Feb 10, 2027 | 2027 (Q2) | 0.02- | 0.1 | ― | ― |
| Nov 05, 2026 | 2027 (Q1) | 0.050.08 | 0.15 | -47.06% (-0.07) | |
| Sep 03, 2026 | 2026 (Q4) | 0.030.07 | 0.08 | -11.11% (-0.01) | |
| May 14, 2026 | 2026 (Q3) | 0.100.10 | 0.03 | 266.67% (+0.07) | |
| Feb 03, 2026 | 2026 (Q2) | 0.070.10 | 0.04 | 175.00% (+0.06) | |
| Nov 12, 2025 | 2026 (Q1) | 0.100.15 | 0.04 | 325.00% (+0.12) | |
| Jun 30, 2025 | 2025 (Q4) | 0.060.08 | 0.07 | 12.50% (+0.01) | |
| May 14, 2025 | 2025 (Q3) | 0.010.03 | 0.07 | -62.50% (-0.05) | |
| Feb 13, 2025 | 2025 (Q2) | 0.020.04 | 0.1 | -63.64% (-0.06) | |
| Nov 12, 2024 | 2025 (Q1) | 0.000.04 | 0.11 | -66.67% (-0.07) |
The table shows recent earnings report dates and whether the forecast was beat or missed. See the change in forecast and EPS from the previous year.
