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EGAIN Corp Q3 FY26 Results

EGANQ3 FY26 Results
Filing
MetricValue ($ M)Q2 FY26Q3 FY25
Revenue22.502.1%7.1%
Total Income22.502.1%7.1%
Expenditure20.492.1%2.3%
PBT2.795.7%771.9%
Net Profit2.423.4%3357.1%
OPM8.93%0.02pp8.80pp
NPM10.74%0.57pp10.42pp
EPS0.090.0%
View full financials

eGain Reports Q3 2026 Results: Revenue Up 7% YoY

15 May 2026 · 15 May, 1:38 am

Summary

eGain Corporation announced its financial results for the third quarter of fiscal year 2026, ended March 31, 2026. Total revenue reached $22.5 million, a 7% increase year over year. The AI Knowledge Hub annual recurring revenue experienced substantial growth, rising 26% to $48.0 million. GAAP net income significantly improved to $2.4 million, or $0.09 per share, compared to $66,000, or $0.00 per share, in the same quarter of the previous year.

Key Highlights

  1. 1

    Total revenue was $22.5 million, an increase of 7% year over year.

  2. 2

    AI Knowledge Hub annual recurring revenue grew 26% year over year to $48.0 million, contributing 64% of total SaaS annual recurring revenue.

  3. 3

    GAAP gross margin was 73%, compared to 68% in Q3 fiscal 2025.

  4. 4

    GAAP net income was $2.4 million, or $0.09 per share, compared to GAAP net income of $66,000, or $0.00 per share, in Q3 fiscal 2025.

  5. 5

    Adjusted EBITDA was $3.2 million, representing a 14% margin, compared to $1.2 million, or a 6% margin, in Q3 fiscal 2025.

  6. 6

    Total revenue for the first nine months of fiscal 2026 was $69.0 million, up 6% year over year.

  7. 7

    GAAP net income for the first nine months of fiscal 2026 was $7.6 million, or $0.28 per share, compared to GAAP net income of $1.4 million, or $0.05 per share, in the same period last year.

Management Comments

A

Ashu Roy

“We delivered solid third quarter results with revenue in line with expectations and strong profitability that exceeded expectations,” “During the quarter, we secured multiple customer expansions and saw a meaningful increase in RFP activity, driven by growing market awareness of the ‘Garbage In Garbage Out’ knowledge problem in AI deployments. And last week, we announced four new products on our platform to strong customer interest at eGain Solve London.

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