Yalla Group's Q1 revenue falls, MAUs rise 7.7%

Yalla

18/05/2026 22:10

Overview

Online social and gaming firm's Q1 revenue fell yr/yr, due to fewer paying users

Company repurchased $9.7 mln shares in Q1, launches new $150 mln buyback program

Average MAUs rose 7.7% yr/yr to 48 mln, reflecting increased user engagement

Outlook

Yalla expects Q2 2026 revenues between $75 mln and $82 mln

Company says outlook reflects current market conditions and preliminary estimates of customer demand

Yalla plans to strengthen AI capabilities and maximize synergies between social and gaming ecosystems

Result Drivers

FEWER PAYING USERS - Co said revenue decline was mainly due to fewer paying users, attributed to recent geopolitical events in the broader region

HIGHER USER ENGAGEMENT - Average MAUs rose 7.7% yr/yr to 48 mln, reflecting increased user engagement, per CEO Tao Yang

INCREASED MARKETING SPEND - Selling and marketing expenses rose 40% yr/yr due to higher advertising and user acquisition efforts

Company press release: ID:nPn23XGqla

Key Details

Metric
Beat/Miss
Actual
Consensus Estimate
Q1 Revenue
Beat
$79 mln
$78.05 mln (2 Analysts)
Q1 Adjusted Net Income
Slight Beat*
$33.30 mln
$33 mln (2 Analysts)
Q1 Adjusted Operating Income
Beat
$28.40 mln
$25.85 mln (2 Analysts)

*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 1 "strong buy" or "buy", 1 "hold" and no "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 Yalla Group Ltd is $8.65, about 27.8% above its May 18 closing price of $6.77

The stock recently traded at 7 times the next 12-month earnings vs. a P/E of 8 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.)