Angi Q2 revenue falls on macroeconomic conditions reducing demand

Angi

04/08/2026 21:26

Overview
U.S. home services marketplace's Q2 revenue fell 11% yr/yr, missing analyst expectations
Adjusted EBITDA for Q2 beat analyst expectations
Company repurchased $73.4 mln of 2028 Senior Notes, reducing outstanding debt

Outlook
Company did not provide specific financial guidance for the current or upcoming periods

Result Drivers
MACROECONOMIC PRESSURE - Co said revenue decline was due primarily to macroeconomic conditions reducing Pro spend and homeowner demand, especially in lower-consideration categories
SEGMENT GROWTH - Large Pro and National Partnership Revenue grew 20% for the second consecutive quarter
EXPENSE SHIFTS - Adjusted EBITDA decline reflected lower revenue and higher consumer marketing expense, partially offset by lower Pro acquisition and fixed expense after workforce reduction

Key Details
Metric
Beat/Miss
Actual
Consensus Estimate
Q2 Revenue
Miss
$248 mln
$251.54 mln (6 Analysts)
Q2 Loss Per Share
 
$5.70
 
Q2 Adjusted EBITDA
Beat
$28.20 mln
$23.95 mln (6 Analysts)
Q2 Operating Income
 
-$233.70 mln
 

Analyst Coverage
The current average analyst rating on the shares is "hold" and the breakdown of recommendations is 2 "strong buy" or "buy", 5 "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 Angi Inc is $11.00, about 85.5% above its August 3 closing price of $5.93
The stock recently traded at 10 times the next 12-month earnings vs. a P/E of 6 three months ago

Reuters Recommended Reads
Aug 3 - Real estate platform Offerpad Q2 revenue falls more than expected, but margins rise
Aug 4 - Wayfair Q2 revenue slightly beats estimates on order growth
Aug 4 - Xometry Q2 revenue beats on marketplace growth

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.)