据证券之星公开数据整理，近期开勒股份（301070）发布2025年中报。截至本报告期末，公司营业总收 入1.37亿元，同比下降17.89%，归母净利润1091.93万元，同比上升280.42%。按单季度数据看，第二季 度营业总收入9900.01万元，同比下降17.0%，第二季度归母净利润1608.77万元，同比上升31.98%。本 报告期开勒股份盈利能力上升，毛利率同比增幅14.7%，净利率同比增幅1708.28%。 证券之星价投圈财报分析工具显示： 业务评价：去年的净利率为-5.64%，算上全部成本后，公司产品或服务的附加值不高。从历史年报数据 统计来看，公司上市以来中位数ROIC为29.53%，投资回报也很好，其中最惨年份2024年的ROIC 为-2.32%，投资回报极差。公司历史上的财报相对良好（注：公司上市时间不满10年，上市时间越长财 务均分参考意义越大。），公司上市来已有年报3份，亏损年份1次，需要仔细研究下有无特殊原因。 偿债能力：公司现金资产非常健康。 分析师工具显示：证券研究员普遍预期2025年业绩在4200.0万元，每股收益均值在0.47元。 本次财报公布的各项数据指标表现一般。其中，毛利 ...

Group 1: HVLS Fan Business - HVLS fan is the main business of the company, achieving revenue of 244 million yuan in 2024 with a gross margin of 36.95% [2] - The company holds a leading position in the domestic HVLS fan industry and has competitive products in the international market [2] - In 2024, overseas revenue accounted for 23.31%, indicating potential for further market expansion [2] Group 2: AI Business Development - The company is advancing AI applications through its joint venture, Henan Yuzhi Kaile Intelligent Technology Co., focusing on smart office, smart travel, and smart healthcare [2][3] - The AI solutions provided include private cloud deployment and customized AI application model development, ensuring data security and compliance [3] Group 3: Smart Driving Initiatives - A cooperation agreement was signed with the Henan Automotive Industry Investment Group to promote digital and intelligent upgrades in the automotive sector [4] - The collaboration aims to develop technologies related to autonomous driving, including unmanned vehicles for transportation and logistics [4] Group 4: Smart Government Solutions - In April 2025, a joint launch of the "Deep Language Future" smart government all-in-one machine was announced, in collaboration with People's Daily Online [5] - The all-in-one machine supports localized deployment and ensures data security through encryption and permission management [7] Group 5: AI Medical Solutions - The AI medical sector focuses on providing various AI solutions for different medical applications, including smart hospital renovations and AI imaging model validation [6] - Collaborations have been established with several top-tier hospitals for research projects, aiming to enhance clinical, teaching, and research capabilities through AI and big data [6]