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EGAN — eGain News Story

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eGain beats Q3 profit estimates, driven by customer expansion

Overview

AI-powered knowledge management provider's fiscal Q3 revenue grew 7%, slightly beating analyst expectations

Adjusted EPS for fiscal Q3 beat consensus, driven by strong profitability and customer expansions

Adjusted net income for fiscal Q3 beat analyst estimates

Outlook

eGain sees Q4 revenue between $21.5 mln and $22.0 mln

Company expects Q4 non-GAAP net income of $600,000 to $1.3 mln

eGain raises full-year 2026 revenue guidance to $90.5 mln-$91.0 mln

Result Drivers

CUSTOMER EXPANSIONS - Co said multiple customer expansions contributed to Q3 results

NEW PRODUCT LAUNCHES - Four new products announced on the platform generated strong customer interest, per co

SAAS RECURRING REVENUE GROWTH - AI Knowledge Hub annual recurring revenue grew 26% year over year, contributing 64% of total SaaS annual recurring revenue

Company press release: ID:nGNX8vWK63

Key Details

MetricBeat/MissActualConsensus Estimate
Q3 RevenueSlight Beat*$22.50 mln$22.45 mln (3 Analysts)
Q3 Adjusted EPSBeat$0.12$0.07 (3 Analysts)
Q3 EPS$0.09
Q3 Adjusted Net IncomeBeat$3.20 mln$2.09 mln (3 Analysts)
Q3 Net Income$2.42 mln
Q3 EBIT$2.008 mln
Q3 Gross Profit$16.51 mln
Q3 Operating Expenses$14.50 mln
Q3 Pretax Profit$2.79 mln
*Applies to a deviation of less than 1%; not applicable for per-share numbers. Analyst Coverage The current average analyst rating on the shares is "hold" and the breakdown of recommendations is 1 "strong buy" or "buy", 2 "hold" and no "sell" or "strong sell" The average consensus recommendation for the software peer group is "buy" Wall Street's median 12-month price target for eGain Corp is $13.00, about 100.6% above its May 13 closing price of $6.48 The stock recently traded at 17 times the next 12-month earnings vs. a P/E of 30 three months ago For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact reuters.support@thomsonreuters.com. (This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)

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