Klaviyo Q4 revenue beats analyst estimates

Reuters
11 hours ago
Klaviyo Q4 revenue beats analyst estimates

Overview

  • B2C CRM firm's Q4 revenue grew 30% yr/yr, beating analyst expectations

  • Company reported Q4 net income, reversing a loss from the previous year

  • Company expanded into AI platforms and international markets, driving growth

Outlook

  • Klaviyo raises fiscal year 2026 revenue outlook to $1.501 bln to $1.509 bln

  • Company expects Q1 2026 revenue between $346 mln and $350 mln

  • Klaviyo anticipates non-GAAP operating income for FY26 between $218 mln and $224 mln

Result Drivers

  • AI INTEGRATION - Klaviyo expanded integrations into major AI platforms, including the launch of Klaviyo App in ChatGPT, enhancing marketer capabilities

  • CUSTOMER EXPANSION - Klaviyo closed new and expanded existing customer accounts, including Bayer and TaylorMade, contributing to revenue growth

  • INTERNATIONAL GROWTH - Klaviyo achieved 42% revenue growth outside the Americas, supported by new regional hubs in Dublin and Singapore

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Revenue

Beat

$350.20 mln

$333.95 mln (22 Analysts)

Q4 Net Income

$7.03 mln

Q4 Adjusted Gross Profit

$254.90 mln

Q4 Adjusted Operating Profit

$51 mln

Q4 Gross Profit

$252.80 mln

Q4 Pretax Profit

$7.73 mln

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 22 "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 Klaviyo Inc is $42.00, about 113.3% above its February 9 closing price of $19.69

  • The stock recently traded at 24 times the next 12-month earnings vs. a P/E of 37 three months ago

Press Release: ID:nBw8chZr8a

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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