Global Business Travel Q2 revenue beats estimates

Global Business Travel

04/08/2026 12:55

Overview
US travel software and services provider's Q2 revenue rose 38% yr/yr, beating analyst expectations
Net income for Q2 grew 14% yr/yr, driven by revenue growth and tax benefits
Operating expenses rose 42% due to acquisitions, tech investments, and restructuring costs

Outlook
Company expects merger with Long Lake Management to close in H2 2026, pending approvals

Result Drivers
ACQUISITIONS - Co said Q2 revenue growth was driven by acquisition impacts, business travel demand and share gains
COMMERCIAL WINS - Co cited major new client wins with Google, Koch and Pfizer and double-digit SME growth, with a 95% customer retention rate
PRODUCT INNOVATION - Co said new AI-powered product features and expanded integrations contributed to customer engagement

Company press release: ID:nBw6Y13F1a

Key Details
Metric
Beat/Miss
Actual
Consensus Estimate
Q2 Revenue
Beat
$870 mln
$823.33 mln (3 Analysts)
Q2 Net Income
 
$17 mln
 
Q2 Operating Expenses
 
$846 mln
 
Q2 Operating Income
 
$24 mln
 

Analyst Coverage
The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 2 "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 Global Business Travel Group Inc is $10.00, about 6% above its August 3 closing price of $9.43
The stock recently traded at 25 times the next 12-month earnings vs. a P/E of 20 three months ago

Reuters Recommended Reads
Aug 3 - Marriott International's Q2 adj profit beats on fee growth
Aug 3 - Palantir raises annual revenue forecast on strong demand from US government, commercial customers
Aug 4 - Pfizer Q2 results beat; raises 2026 revenue outlook

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.)