Nextdoor beats Q3 revenue expectations

Reuters11-06

Nextdoor beats Q3 revenue expectations

Overview

Nextdoor Q3 revenue grows 5% yr/yr, beating analyst expectations
Adjusted EBITDA for Q3 beats analyst estimates, reflecting improved financial discipline
Company reiterates path to adjusted EBITDA breakeven in FY 2026

Outlook

Nextdoor reiterates path to full-year adjusted EBITDA breakeven in FY 2026

Result Drivers

SELF-SERVE ADVERTISING - Self-serve ads drove nearly 60% of Q3 revenue, benefiting from improvements in Nextdoor Ads Platform
PLATFORM OPTIMIZATION - Nextdoor is testing and optimizing its platform for stronger engagement and monetization
HIGHEST-EVER REVENUE - Despite a decline in weekly active users, Nextdoor achieved its highest-ever quarterly revenue

Key Details

Metric	Beat/Miss	Actual	Consensus Estimate
Q3 Revenue	Beat	$68.90 mln	$66.51 mln (5 Analysts)
Q3 Net Income		-$12.86 mln
Q3 Adjusted EBITDA	Beat	$4.39 mln	-$4.81 mln (5 Analysts)
Q3 Income from Operations		-$17.23 mln

Analyst Coverage

The current average analyst rating on the shares is "hold" and the breakdown of recommendations is 1 "strong buy" or "buy", 4 "hold" and 1 "sell" or "strong sell"
The average consensus recommendation for the online services peer group is "buy."
Wall Street's median 12-month price target for Nextdoor Holdings Inc is $2.40, about 24.6% above its November 4 closing price of $1.81

Press Release: ID:nBw1hnm44a

For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact RefinitivNewsSupport@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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For any other questions or feedback, contact RefinitivNewsSupport@thomsonreuters.com.</p><p>(This story was created using Reuters automation and AI based on LSEG and company data. 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For any other questions or feedback, contact RefinitivNewsSupport@thomsonreuters.com.(This story was created using Reuters automation and AI based on LSEG and company data. 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