China's Sany Heavy Equipment H1 revenue rises on mining, international sales strength

Sany Heavy Equipment International Holdings

26/08/2026 11:07

Overview
China heavy equipment maker's half-year revenue rose 20.5% yr/yr to RMB14.75 bln
Profit attributable to owners fell 5.9% yr/yr to RMB1.22 bln
Profit margin before tax declined to 10.6% from 14.0% a year earlier

Outlook
Company did not provide specific guidance or outlook for the current or future periods

Result Drivers
MINING AND PORT EQUIPMENT – Revenue growth was driven by higher mining-equipment and large-port-machinery sales and international expansion
LOWER-MARGIN SALES MIX – Gross margin fell 1.6 percentage points to 22.1% as lower-margin products represented a larger share of revenue
LOWER GOVERNMENT GRANTS – Other income and gains fell 11.5% to RMB525.7 mln, mainly due to reduced bank interest income and government grants

Key Details
Metric
Beat/Miss
Actual
Consensus Estimate
H1 Revenue
 
RMB 14.75 bln
 
H1 Net Income Attributable
 
RMB 1.22 bln
 

Analyst Coverage
The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 5 "strong buy" or "buy", no "hold" and no "sell" or "strong sell"
The average consensus recommendation for the mining support services & equipment peer group is "buy"
Wall Street's median 12-month price target for Sany Heavy Equipment International Holdings Company Ltd is HK$12.00, about 37.1% above its August 26 closing price of HK$8.75
The stock recently traded at 10 times the next 12-month earnings vs. a P/E of 10 three months ago

Reuters Recommended Reads
Aug 25 - China's Dongfang Electric H1 revenue inches up on strength in energy equipment business
Aug 25 - China's CIMC Enric H1 profit falls 8% as margin narrows
Aug 24 - China's Haitian International H1 revenue inches up despite lower overseas sales

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.)