DoubleVerify Q1 revenue up 10%, slightly misses estimates

DoubleVerify Holdings

06/05/2026 21:29

Overview

US digital media measurement platform's Q1 rev grew 10% yr/yr, slightly missed analyst expectations

Adjusted EBITDA margin for Q1 improved to 31%, beating analyst estimates

Company repurchased 9.8 mln shares for $100.2 mln year to date

Outlook

DoubleVerify sees Q2 revenue between $199 mln and $205 mln

Company expects Q2 adjusted EBITDA of $63 mln to $67 mln, margin about 32%

DoubleVerify reiterates 2026 revenue guidance of $810 mln to $826 mln, adjusted EBITDA margin about 34%

Result Drivers

SOCIAL & CTV MOMENTUM - Co said revenue growth was driven by gains in social and CTV measurement segments

INTERNATIONAL & SOCIAL MEASUREMENT - Co reported 23% growth in social measurement revenue and 18% growth in international measurement revenue

PRODUCT INNOVATION & PARTNERSHIPS - Co cited AI-fueled product launches and new partnerships as supporting growth

Company press release: ID:nGNX8qv607

Key Details

Metric
Beat/Miss
Actual
Consensus Estimate
Q1 Revenue
Slight Miss*
$180.83 mln
$181.41 mln (19 Analysts)
Q1 Net Income
$6.41 mln
Q1 Adjusted EBITDA
Beat
$55.20 mln
$50.009 mln (18 Analysts)
Q1 Income From Operations
$15.64 mln
Q1 Pretax Profit
$14.23 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 "buy" and the breakdown of recommendations is 11 "strong buy" or "buy", 9 "hold" and 1 "sell" or "strong sell"

The average consensus recommendation for the software peer group is "buy"

Wall Street's median 12-month price target for Doubleverify Holdings Inc is $12.00, about 4.7% above its May 5 closing price of $11.46

The stock recently traded at 20 times the next 12-month earnings vs. a P/E of 21 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.)