XPeng Inc. delivered 40,126 vehicles in June, representing a 16% year-over-year increase, as the Guangzhou-based smart electric car company reported its delivery results for June and the second quarter of 2026. This performance brings total second-quarter deliveries to 103,295 units, which declined 48% year-over-year. The company highlighted its growing presence in the electric vehicle sector, reaching a significant milestone of 10,000 units for its GX model.

XPeng is preparing to debut its new model, the XPENG MONA L03, in China on July 2. The launch is expected to further boost sales and market share for the manufacturer.

Peer Performance

In a separate release, rival NIO reported delivering 40,597 units in June, reflecting a 62.9% year-over-year increase, and total sales of 107,658 vehicles in the second quarter, up 49.4% year-over-year. Li Auto Inc. also released its latest delivery numbers, reporting 30,895 vehicles delivered in June 2026, a figure representing a 15% year-over-year decrease.

Market Signals and ETF Exposure

XPeng's Benzinga Edge signal reveals a weak momentum profile, indicating that the stock is currently underperforming compared to the broader market. The stock carries significant weight in funds such as the SPDR S&P Kensho Smart Mobility ETF (HAIL) with a 2.69% weight and the Direxion Daily Electric and Autonomous Vehicles Bull 2X Shares (EVAV) with a 4.19% weight. Consequently, any significant inflows or outflows for these ETFs will likely force automatic buying or selling of the stock.

XPeng shares were up 1.41% at $13.43 during premarket trading on Wednesday.

XPeng shared its World Model roadmap at the CVPR 2026 Workshop on Foundation Model Deployment for Embodied Intelligence. Xianming Liu, Head of XPeng Group's General Intelligence Center, unveiled the roadmap, highlighting proactive reasoning, controllable generation, and long-horizon forecasting as key capabilities for next-generation autonomous driving.

Key Capabilities

The roadmap focuses on advancing autonomous driving through several core features:

• Proactive reasoning: Enhancing decision-making capabilities in real-time scenarios.
• Controllable generation: Allowing precise control over AI-generated outputs.
• Long-horizon forecasting: Improving the ability to predict future events over extended periods.

These capabilities aim to strengthen XPeng's position in the autonomous driving sector by leveraging advanced AI models.