China's Autohome Q2 revenue falls on lower dealer spending

Autohome

20/08/2026 10:42

Overview
China online auto platform's Q2 revenue fell yr/yr due to lower dealer spending and vehicle sales
Adjusted EPS and net income for Q2 declined from a year earlier
Company completed US$200 mln buyback, launches new US$400 mln repurchase program

Outlook
Company did not provide specific guidance for the current quarter or full year in the press release

Result Drivers
DEALER SPENDING DROP - Co said lower dealer spending and fewer paying dealers led to decline in leads generation services revenue
VEHICLE SALES BUSINESS - Co said reduced revenue from vehicle sales business drove drop in online marketplace and others revenue
LOWER MARKETING EXPENSES - Co said sales and marketing expenses fell due to decreased marketing and promotional expenses

Company press release: ID:nPn8sszfha

Key Details
Metric
Beat/Miss
Actual
Consensus Estimate
Q2 Revenue
 
RMB 1.20 bln
 
Q2 Adjusted EPS
 
RMB 0.61
 
Q2 Adjusted Net Income
 
RMB 277.27 mln
 
Q2 Net Income
 
RMB 247.81 mln
 
Q2 Operating Profit
 
RMB 130 mln
 

Analyst Coverage
The current average analyst rating on the shares is "hold" and the breakdown of recommendations is 2 "strong buy" or "buy", 9 "hold" and 1 "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 Autohome Inc is $21.00, about 6.6% below its August 19 closing price of $22.48
The stock recently traded at 16 times the next 12-month earnings vs. a P/E of 11 three months ago

Reuters Recommended Reads
Aug 19 - Yixin Group H1 revenue rises 13% on SaaS services strength
Aug 20 - China's Chery Auto H1 gross margin rises on overseas sales, but net profit drops
Aug 18 - China's Baidu Q2 revenue falls amid pressure on online marketing business

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.)