租赁负债变动幅度为-37.61%,原因:租赁到期，应付租赁付款额减少。 递延收益变动幅度为-76.25%,原因:前期收到政府补助本期转入当期损益减少。 | 项目 | 2024年中报 | 2025年中报 | 同比增幅 | | --- | --- | --- | --- | | 营业总收入(元) | 3.46 Z | 3.57亿 | 3.18% | | 归母净利润(元) | 2558.26万 | 49.87万 | -98.05% | | 扣非净利润(元) | 2352.22万 | -230.72万 | -109.81% | | 货币资金(元) | 2.74亿 | 3.68 亿 | 34.60% | | 应收账款(元) | 4.51亿 | 4.81亿 | 6.64% | | 有息负债(元) | 5335.1万 | 1.08亿 | 101.94% | | 毛利率 | 26.70% | 18.83% | -29.47% | | 净利率 | 7.39% | 0.14% | -98.11% | | 三费占营收比 | 10.39% | 11.16% | 7.45% | | 每股净资产 (元) | 9.45 | 9.52 | ...

据证券之星公开数据整理，近期井松智能（688251）发布2025年中报。截至本报告期末，公司营业总收 入3.57亿元，同比上升3.18%，归母净利润49.87万元，同比下降98.05%。按单季度数据看，第二季度营 业总收入2.78亿元，同比下降5.49%，第二季度归母净利润121.67万元，同比下降96.6%。本报告期井松 智能公司应收账款体量较大，当期应收账款占最新年报归母净利润比达1121.45%。 本次财报公布的各项数据指标表现一般。其中，毛利率18.83%，同比减29.47%，净利率0.14%，同比减 98.11%，销售费用、管理费用、财务费用总计3989.98万元，三费占营收比11.16%，同比增7.45%，每股 净资产9.52元，同比增0.8%，每股经营性现金流0.12元，同比增116.74%，每股收益0.01元，同比减 97.62% | 项目 | 2024年中报 | 2025年中报 | 同比增幅 | | --- | --- | --- | --- | | 营业总收入(元) | 3.46亿 | 3.57亿 | 3.18% | | 归母浄利润（元） | 2558.26万 | 49.87万 | -98 ...

Group 1 - The company announced that it won a bid for the intelligent upgrade project of the BKB warehouse for China General Nuclear Power Group, with a bid price of 22 million yuan [1] - This project represents the company's first order in the nuclear power sector [1] - The bid price accounts for 0.93% of the company's projected revenue for the year 2024 [1]

Group 1 - The company has won a bid for the intelligent upgrade project of the BKB warehouse at the San'ao Phase I nuclear power plant, with a bid price of 22 million yuan [1] - This project marks the company's first order in the nuclear power sector, indicating a potential expansion into this industry [1] - If a formal contract is signed and the project is successfully implemented, it is expected to have a positive impact on the company's future operating performance [1]

Core Insights - The smart warehousing logistics system utilizes advanced technologies to optimize and automate various aspects of warehouse operations, driven by the rapid development of IoT, big data, cloud computing, AI, and digital twin technologies [1][7] - The market size of China's smart warehousing logistics system was 31.92 billion yuan in 2018 and is expected to reach 135 billion yuan by 2025, indicating significant growth potential [1][7] - The modern logistics system, emphasizing intelligence and automation, has become the development direction of the logistics industry, with increasing demand from various sectors for advanced logistics technologies and equipment [1][7][25] Industry Definition and Characteristics - Smart warehousing logistics systems, also known as automated warehouses, integrate hardware, software, and data analysis to enhance the efficiency, accuracy, and agility of inventory management, order processing, and logistics workflows [2][4] Current Development Status - The primary technologies used in smart warehousing logistics systems include RFID and wireless sensing technology, enabling automatic identification and data collection of items, thus facilitating automated inventory management functions [4][5] Industry Chain - The industry chain consists of upstream components such as RGVs, large storage racks, conveyor systems, stackers, lifters, sorting machines, and forklifts, with the midstream focusing on smart warehousing logistics systems and downstream applications in sectors like tobacco, pharmaceuticals, e-commerce, and cold chain logistics [9][11][13] Competitive Landscape - The smart warehousing logistics system market in China is currently characterized by low concentration, with major players including Nanjing Yinfly Storage Equipment Group, Demar Technology Group, Beizhi Technology, and others [18][21] - Companies like Yinfly Storage and Demar Technology are leading in providing advanced smart warehousing solutions, with significant revenues from their respective logistics automation systems [21][23] Future Trends - The industry is expected to see continuous improvement in intelligence levels and expansion of application services, with a growing concentration of leading enterprises as market demand increases [25]