EH216系列eVTOL飞机

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美股异动 | 下调全年收入指引至约5亿元 亿航智能(EH.US)跌超5%
智通财经网· 2025-08-26 14:38
Core Viewpoint - EHang Intelligent (EH.US) reported a significant increase in revenue for Q2 2025, but also experienced a widening net loss, leading to a drop in stock price by over 5% [1] Financial Performance - Total revenue for Q2 reached 147.2 million RMB (approximately 20.5 million USD), representing a year-on-year increase of 44.2% and a quarter-on-quarter surge of 464% [1] - Gross margin remained stable at 62.6%, consistent with the previous two quarters [1] - Net loss expanded to 81 million RMB (approximately 11.3 million USD), which is a year-on-year increase of 13.1% and a slight quarter-on-quarter increase of 3.3% [1] Business Operations - The delivery volume of the EH216 series eVTOL aircraft reached a record high of 68 units, marking a 38.8% increase compared to 49 units in the same period of 2024, and a staggering quarter-on-quarter increase of 518% from 11 units in Q1 [1] Future Outlook - The company has revised its full-year revenue forecast for 2025 down to approximately 500 million RMB, citing a strategic shift towards the development of commercial operation demonstration models and long-term infrastructure [1]
下调全年收入指引至约5亿元 亿航智能(EH.US)跌超5%
Zhi Tong Cai Jing· 2025-08-26 14:37
Core Viewpoint - EHang Intelligent (EH.US) experienced a decline of over 5%, closing at $16.91, following the release of its Q2 2025 financial report, which showed significant revenue growth but an increase in net loss [1] Financial Performance - Total revenue for Q2 reached 147.2 million RMB (approximately $20.5 million), representing a year-over-year increase of 44.2% and a quarter-over-quarter surge of 464% [1] - Gross margin remained stable at 62.6%, consistent with the previous two quarters [1] - Net loss expanded to 81 million RMB (approximately $11.3 million), reflecting a year-over-year increase of 13.1% and a slight quarter-over-quarter rise of 3.3% [1] Business Operations - The delivery volume of the EH216 series eVTOL aircraft reached a record high of 68 units, a 38.8% increase compared to 49 units in the same period of 2024, and a staggering quarter-over-quarter increase of 518% from 11 units in Q1 [1] Future Outlook - The company has revised its full-year revenue forecast for 2025 down to approximately 500 million RMB, citing a strategic shift towards the development of commercial operation demonstration models and long-term infrastructure [1]
亿航智能(EH.US)Q2非GAAP净利润同比激增683% EH216交付68架创纪录
Zhi Tong Cai Jing· 2025-08-26 09:09
Core Insights - EHang Intelligent (EH.US) reported Q2 2025 total revenue of 147.2 million RMB (approximately 20.5 million USD), representing a year-over-year increase of 44.2% and a quarter-over-quarter surge of 464% [1] - The company's gross margin remained stable at 62.6%, consistent with the previous two quarters [1] - Net loss expanded to 81 million RMB (approximately 11.3 million USD), a year-over-year increase of 13.1% and a slight quarter-over-quarter increase of 3.3% [1] - Non-GAAP adjusted net profit reached 9.4 million RMB (approximately 1.3 million USD), a significant increase of 683% year-over-year and a turnaround from loss quarter-over-quarter [1] - Adjusted basic and diluted earnings per share were 0.07 RMB (0.01 USD) [1] Business Performance - The delivery volume of EH216 series eVTOL aircraft reached a record high of 68 units, up 38.8% from 49 units in the same period of 2024, and a staggering increase of 518% from 11 units in Q1 [1] - This delivery scale directly contributed to the revenue surge [1] - The company raised approximately 170.2 million RMB (about 23.8 million USD) through an ATM stock issuance, enhancing its cash reserves to 1.15 billion RMB (approximately 160.5 million USD) [1] - The increased funds will support technology research and development, capacity expansion, and the construction of a new headquarters [1] Future Outlook - EHang has lowered its full-year revenue forecast for 2025 to approximately 500 million RMB, citing a strategic shift towards the development of commercial operation demonstration models and long-term infrastructure [1]