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EGAN
Earnings call · Jun 2026 (Q4 FY26)

EGAIN Q4 FY26 earnings call EGAN

Sep 3, 2026 Source

Executive summary

eGain Q4 FY26 — AI Customer Revenue Growth and Gartner Leadership

eGain reported Q4 FY26 results highlighted by strong full-year AI customer revenue growth and record operating cash flow, alongside significant recognition as a leader in Gartner's first Magic Quadrant for customer service knowledge management systems. The company is actively transitioning to an AI-led business model, introducing new AI customer metrics and a long-term financial framework through FY2030, while managing a decline in legacy customer revenue.

Highlights

5

  • Full-year FY26 total revenue grew 3% to $91.1 million.

  • Full-year FY26 AI customer revenue grew 20% year-over-year.

  • Full-year FY26 AI customer ARR grew 13% and represented 72% of total SaaS ARR at year-end.

  • Full-year FY26 Adjusted EBITDA increased to $13.6 million, representing a 15% margin.

  • Full-year FY26 cash provided by operating activities reached a record $21.2 million, a 23% operating cash flow margin.

Concerns

5

  • Q4 FY26 total revenue declined 4.3% to $22.2 million compared to $23.2 million in the prior year quarter, primarily due to lower revenue from legacy customers.

  • Q4 FY26 non-GAAP operating costs were up 6% year-over-year to $14.1 million.

  • Full-year FY26 total SaaS ARR declined 1% year-over-year, driven by decline among legacy non-AI customers.

  • Trailing 12 months dollar-based net retention for AI customers was 104% compared to 120% a year ago.

  • Total remaining performance obligation (RPO) of $87 million was down 5% year-over-year.

Guidance & targets

CategoryTargetConfidence
AI customer revenue
$13.7 million to $14 million
high materiality
High
Total revenue
$20.9 million and $21.4 million
high materiality
High
GAAP net income
$500,000 to $1 million
medium materiality
High
GAAP net income per share
$0.02 to $0.04 per share
medium materiality
High
Non-GAAP net income
$1.4 million to $2 million
medium materiality
High
Non-GAAP net income per share
$0.05 to $0.08 per share
medium materiality
High
Adjusted EBITDA
$1.4 million to $1.9 million
medium materiality
High
Adjusted EBITDA margin
7% to 9%
medium materiality
High
AI customer revenue
$59.5 million to $60.5 million
high materiality
High
AI customer revenue growth
approximately 8% to 10%
high materiality
High
Total revenue
$84.5 million and $86 million
high materiality
High
AI customer ARR growth
approximately 20%
high materiality
High
Legacy customer ARR decline
60%
high materiality
High
GAAP net loss
$2 million to $3 million
medium materiality
High
GAAP net loss per share
$0.08 to $0.11 per share
medium materiality
High
Non-GAAP net income
$1 million to $2 million
medium materiality
High
Non-GAAP net income per share
$0.04 to $0.07 per share
medium materiality
High
Adjusted EBITDA
$650,000 to $1.4 million
medium materiality
High
Adjusted EBITDA margin
1% to 2%
medium materiality
High
Weighted average shares outstanding
$26.6 million
low materiality
High
Weighted average shares outstanding
$26.8 million
low materiality
High
AI customer ARR
$100 million to $120 million
high materiality
High
AI customer ARR CAGR
17% to 22%
high materiality
High
Total SaaS ARR
$100 million to $120 million
high materiality
High
AI customer ARR as % of total SaaS ARR
approximately 100%
high materiality
High
AI customer revenue
$105 million to $115 million
high materiality
High
AI customer revenue growth
20%-plus growth year-over-year
high materiality
High
Total revenue
$110 million to $120 million
high materiality
High
Total revenue growth
approximately 15% to 20% growth year-over-year
high materiality
High
AI customer revenue as % of total revenue
approximately 95%
high materiality
High
SaaS gross margins
approximately 80%
medium materiality
High
Adjusted EBITDA margin
positive
medium materiality
High

Orderbook & backlog

Total remaining performance obligation (RPO) $87 million FY26 year-end

Down 5% YoY

Current RPO $62 million FY26 year-end

Down 2% YoY

Product announcements

ProductTypeDetails
eGain IVA (intelligent voice agent)launch
eGain Agentic Studiolaunch
eGain Evaluatorupdate
eGain AI knowledge suite for health carelaunch

Deals & partnerships

Leading European insurance company Modernizing knowledge environment for AI automation

Selected eGain to modernize their knowledge environment and establish a governance foundation for deploying AI automation at scale.

Global multi-energy operator Deploying knowledge platform and AI agent

Deploying eGain's knowledge platform and AI agent in one contact center, with plans to extend across other contact centers and leverage for self-service channels.

World's largest pharmaceutical company Paid pilot for AI knowledge to capture asset expertise

Using eGain's AI knowledge to continuously capture deep asset expertise from retiring or changing R&D scientists and specialists, turning it into invaluable knowledge for their AI engine.

Global leader in testing, inspection and certification Paid pilot for AI agents in compliance-heavy environment

Facing a hard regulatory deadline, they needed accurate instant guidance. Early pilot results indicate 95% self-service resolution and 80% customer user satisfaction with AI agents.

Global leader in gaming technology Paid pilot for AI-guided answers in complex environment

Operating in a complex environment where every answer must be guided and correct, they are conducting a paid pilot.

Risks & headwinds

Decline in legacy customer revenue Q4 FY26, FY27

Total revenue declined 4.3% in Q4 FY26; legacy customer ARR expected to decline by 60% in FY27.

Mitigation:Funding investments in the larger AI opportunity with cash generation from this noncore business; focus on converting legacy customers to AI offerings.

Increased operating costs for AI investments Q4 FY26, FY27

Non-GAAP operating costs up 6% YoY in Q4 FY26 to $14.1 million.

Mitigation:Planned investments in go-to-market initiatives and AI opportunity, balanced with profitability discipline (targeting positive Adjusted EBITDA margin by FY2030).

Lower net retention rates TTM FY26

Trailing 12 months dollar-based net retention for AI customers was 104% (vs 120% a year ago); for all customers was 93% (vs 105% a year ago).

Mitigation:Focus on growing ARR per account and expanding within the AI customer base, as AI adoption is the strongest predictor of long-term retention and expansion.

Decline in Remaining Performance Obligation (RPO) FY26 year-end

Total RPO of $87 million was down 5% YoY; current RPO of $62 million was down 2% YoY.

Mitigation:Building new logo acquisition momentum and converting paid pilots into full rollouts to drive future ARR growth.

Potential pricing pressure from AI Next 2-3 years

Anticipate 1-2 basis point pressure over the next 2-3 years.

Mitigation:Creating new product offerings that layer on additional revenue from value-added AI capabilities; being sharper in feeding AI tools to keep costs down and managing token costs effectively.

What to watch in Q1 FY27

AI customer revenue growth

Q1 FY27, FY27
Current FY26: +20% YoY; Q4 FY26: +11% YoY
Target Q1 FY27: $13.7M-$14M; FY27: 8%-10% growth

Why it matters

This is a key indicator of the company's success in transitioning to an AI-led business model and its ability to monetize AI offerings.

For the fiscal year ending June 30, 2027, we expect AI customer revenue of between $59.5 million to $60.5 million, representing growth of approximately 8% to 10%.

Q&A highlights

What is the timeline for the runoff of non-AI ARR, and how does the profitability of these legacy businesses compare to the AI business?

The non-AI business is expected to be substantially zero by fiscal 2030, with the goal of converting some customers to AI. The cash generation from this profitable legacy business is being used to fund investments in the larger AI opportunity.

“the expectation is the non-AI business should be substantially. The goal, obviously, is to convert some of that into the AI business, but from a modeling standpoint, we'd expect that to be 0 as we get to the 2030 time frame.”

asked by Vijay on for Jeff Van Rhee · answered by Eric Smit

2 min read 6 chapters

Detailed narrative

Gartner Magic Quadrant Leadership

eGain was named a leader in Gartner's first-ever Magic Quadrant for customer service knowledge management systems in July 2026, positioned highest for ability to execute and furthest for completeness of vision. This inaugural recognition is seen as a significant signal for the market, explicitly calling out knowledge management for customer service as its own category of enterprise infrastructure, validating eGain's strategic focus.

AI Knowledge Ops and Market Trends

The company emphasizes 'AI knowledge ops' as a critical discipline for enterprises to reliably deploy AI in production, governing the knowledge layer that feeds AI agents. Management highlighted two emerging market trends: businesses treating knowledge as core AI infrastructure, driving demand for richer platform capabilities like real-time knowledge APIs, and a growing interest in customer self-service projects, a shift from previous contact center-focused use cases.

New Business Momentum and Paid Pilots

eGain achieved a 27% increase in new logo wins year-over-year in fiscal 2026. Pipeline opportunities valued at $500,000 ARR or more doubled year-over-year, with a 40% increase in pipeline opportunities within compliance-heavy core verticals (banking, financial services, insurance, healthcare). The company is increasingly seeing buyers willing to pay for extensive validation through pilots, with converting these paid pilots into full rollouts being a key focus for the current fiscal year.

Product Innovation and AI Offerings

Innovation continues with a focus on AI knowledge and automation. Recent announcements in Q4 FY26 include the eGain IVA (intelligent voice agent) leveraging trusted knowledge for omnichannel self-service, eGain Agentic Studio for low-code application building, and eGain Evaluator for continuous quality assurance of AI pipelines. A new vertical offering, the eGain AI knowledge suite for healthcare, was also launched.

Strategic Shift to AI Customer Metrics

eGain has transitioned its reporting to new metrics: 'AI customer ARR' and 'AI customer revenue,' which define customers based on their utilization of one or more AI offerings. This shift aims to provide a cleaner, more forward-looking view of AI adoption across the installed base, as AI capabilities are now used across multiple parts of the platform, and is considered the strongest predictor of long-term retention and expansion.

Long-Term Financial Vision Through FY2030

The company introduced a long-term financial model through fiscal 2030, outlining a transition period (FY27-FY29) where total revenue growth increasingly converges with AI customer revenue growth. By FY2030, eGain targets AI customer ARR of $100M-$120M, total SaaS ARR of $100M-$120M (with AI customer ARR representing ~100% of total SaaS ARR), and AI customer revenue representing ~95% of total revenue, while maintaining positive adjusted EBITDA margins.

AI-generated summary of the company's earnings call. Not investment advice.