编号：2025-009 | | √特定对象调研 □分析师会议 | | --- | --- | | | □媒体采访 □业绩说明会 | | 投资者关系活动类别 | □新闻发布会 □路演活动 | | | □现场参观 □其他 （请文字说明其他 | | | 活动内容） | | 参与单位名称及人员姓名 | 开源证券 邓建全 | | | 富国基金 冯升 | | | 工银瑞信基金 李乾宁 | | 时间 2025 | 年 12 月 3 日 | | 地点 | 公司会议室 | | 上市公司接待人员姓名 | 张峰、赵磊 | | | 一、公司股份回购情况 | | | 截至 年 月 日，公司通过股份回购专 2025 11 30 | | | 用证券账户以集中竞价交易方式回购公司股份 | | | 股，占公司目前总股本的比例为 8,254,900 1.39%，回 | | | 购成交最高价为 11.2 元/股，最低价为 10.49 元/股， | | | 成交总金额为人民币 元（不含交易费 88,980,647.86 | | 投资者关系活动主要内容 | 用）。后续公司还将根据市场情况逐步推进股份回购 | | 事项。 介绍 | | | | 二、公司 ...

证券日报网讯12月1日晚间，中通客车（000957）发布公告称，截至2025年11月30日，公司通过股份回 购专用证券账户以集中竞价交易方式回购公司股份8，254，900股，占公司目前总股本的比例为 1.39%，回购成交最高价为11.2元/股，最低价为10.49元/股，成交总金额为人民币88，980，647.86元(不 含交易费用)。 ...

（文章来源：证券日报） 证券日报网讯 12月1日晚间，中通客车发布公告称，调整前回购股份价格上限为14.95元/股，调整后回 购股份价格上限为14.90元/股，回购股份价格上限调整生效日期为2025年11月12日。 ...

格隆汇12月1日丨中通客车(000957.SZ)公布，截至2025年11月30日，公司通过股份回购专用证券账户以 集中竞价交易方式回购公司股份8,254,900股，占公司目前总股本的比例为1.39%，回购成交最高价为 11.2元/股，最低价为10.49元/股，成交总金额为人民币88,980,647.86元（不含交易费用）。本次回购符 合相关法律法规要求，符合既定的回购方案。 ...

截至发稿，中通客车市值为65亿元。 每经头条（nbdtoutiao）——5年期大面积下线，3年期利率低至1.5%仍一单难求：要么"售罄"要么"额度 紧张"！中长期大额存单为何在消失？ （记者 贾运可） 每经AI快讯，中通客车（SZ 000957，收盘价：10.97元）12月1日晚间发布公告称，截至2025年11月30 日，公司通过股份回购专用证券账户以集中竞价交易方式回购公司股份约825万股，占公司目前总股本 的比例为1.39%，回购成交最高价为11.2元/股，最低价为10.49元/股，成交总金额为人民币约8898万 元。 2025年1至6月份，中通客车的营业收入构成为：客车制造占比100.0%。 ...

证券代码：000957 证券简称：中通客车 公告编号：2025-061 中通客车股份有限公司 二、其他事项说明 公司回购股份的时间、回购股份的数量、回购股份价格及集中竞 价交易的委托时段均符合《上市公司股份回购规则》《深圳证券交易 所上市公司自律监管指引第 9 号—回购股份》等法律法规的相关规定。 关于回购公司股份的进展公告 本公司及董事会全体成员保证信息披露的内容真实、准确和完整，没有虚假 记载、误导性陈述或重大遗漏。 中通客车股份有限公司（以下简称"公司"）于 2025 年 4 月 24 日召开了第十一届董事会第十一次会议，审议通过了《关于回购部分 A 股股份方案的议案》，同意公司使用自有资金或自筹资金以集中竞 价交易方式回购部分公司股份，用于股权激励或者员工持股计划。本 次回购股份的资金总额不超过人民币2亿元（含）且不低于1亿元（含）； 回购价格不超过人民币 15 元/股；实施期限为自公司董事会审议通过 回购方案之日起 12 个月内。具体内容详见公司于 2025 年 6 月 7 日在 《中国证券报》《证券时报》《证券日报》《上海证券报》及巨潮资 讯网披露的《关于回购部分 A 股股份的回购报告书》(公告编 ...

Group 1 - The commercial vehicle sector increased by 1.24% on December 1, with Yutong Bus leading the gains [1] - The Shanghai Composite Index closed at 3914.01, up 0.65%, while the Shenzhen Component Index closed at 13146.72, up 1.25% [1] - Key stocks in the commercial vehicle sector showed varied performance, with Yutong Bus closing at 32.00, up 2.86%, and Jianghuai Automobile at 49.86, up 1.76% [1] Group 2 - The commercial vehicle sector experienced a net outflow of 155 million yuan from institutional investors, while retail investors saw a net inflow of 198 million yuan [3][4] - Specific stock performances included China National Heavy Duty Truck with a net outflow of 42.35 million yuan and a retail inflow of 26.78 million yuan [4] - The trading volume for Yutong Bus was 163,800 shares, with a transaction value of 518 million yuan [1]

Core Viewpoint - The commercial vehicle sector experienced a slight increase of 0.01% on November 26, with CIMC Vehicles leading the gains, while the overall market showed mixed results with the Shanghai Composite Index down by 0.15% and the Shenzhen Component Index up by 1.02% [1] Group 1: Market Performance - The closing price for CIMC Vehicles was 9.90, reflecting a rise of 1.96% with a trading volume of 123,100 shares and a transaction value of 121 million yuan [1] - Yutong Bus closed at 31.06, up by 0.55%, with a trading volume of 76,200 shares and a transaction value of 236 million yuan [1] - JAC Motors closed at 49.02, increasing by 0.22%, with a trading volume of 236,500 shares and a transaction value of 1.158 billion yuan [1] - Foton Motor remained unchanged at 2.75, with a trading volume of 840,200 shares and a transaction value of 232 million yuan [1] - Hanma Technology closed at 6.22, unchanged, with a trading volume of 223,800 shares and a transaction value of 139 million yuan [1] - Golden Dragon Bus decreased slightly by 0.13% to 15.34, with a trading volume of 175,000 shares and a transaction value of 270 million yuan [1] Group 2: Fund Flow Analysis - The commercial vehicle sector saw a net outflow of 77.49 million yuan from institutional investors, while retail investors experienced a net outflow of 12.79 million yuan [2] - Conversely, speculative funds recorded a net inflow of 90.28 million yuan [2] - The detailed fund flow for specific stocks indicates that China National Heavy Duty Truck had a net inflow of 6.327 million yuan from institutional investors, while Foton Motor saw a net inflow of 5.674 million yuan [3] - Ankai Bus experienced a significant net outflow of 8.657 million yuan from institutional investors, indicating a negative sentiment towards the stock [3]

Market Overview - The commercial vehicle sector increased by 1.56% on November 24, with Jinlong Automobile leading the gains [1] - The Shanghai Composite Index closed at 3836.77, up 0.05%, while the Shenzhen Component Index closed at 12585.08, up 0.37% [1] Stock Performance - Jinlong Automobile (600686) closed at 15.50, up 10.01% with a trading volume of 267,200 shares and a turnover of 266.6 million [1] - Yutong Bus (600066) closed at 31.42, up 2.71% with a trading volume of 136,100 shares and a turnover of 4.25 billion [1] - Ankai Bus (000868) closed at 5.18, up 1.97% with a trading volume of 107,500 shares and a turnover of 55.29 million [1] - Dongfeng Motor (600006) closed at 7.49, up 1.90% with a trading volume of 345,700 shares and a turnover of 257 million [1] - Other notable performances include: - JAC Motors (600418) at 48.89, up 1.31% [1] - Foton Motor (600166) at 2.77, up 0.73% [1] Capital Flow - The commercial vehicle sector saw a net inflow of 105 million from institutional investors, while retail investors experienced a net outflow of 80.64 million [2] - The main capital flow details include: - JAC Motors had a net inflow of 181.01 million, accounting for 4.95% of the total [3] - Jinlong Automobile had a net inflow of 39.13 million, accounting for 9.81% [3] - Foton Motor experienced a net outflow of 14.29 million, with a net inflow from retail investors of 9.27 million [3]

声明：市场有风险，投资需谨慎。本文为AI基于第三方数据生成，仅供参考，不构成个人投资建议。 财经频道更多独家策划、专家专栏，免费查阅>> 国家知识产权局信息显示，中通客车股份有限公司申请一项名为"一种燃料电池客车氢舱体泄漏检测方 法及装置"的专利，公开号CN 120992114 A，申请日期为2025年8月。 专利摘要显示，本发明提出一种燃料电池客车氢舱体泄漏检测方法及装置，通过储氢气瓶、多触角可变 距传感器支架、氢浓度传感器和中控器的设置，根据各个氢浓度传感器的初始位置、移动速度和运行时 间，以及各个氢浓度传感器在各个测点所测的氢气浓度，构建各测试点与氢气浓度和运行时间的扩散云 图，根据所述扩散云图识别氢气泄漏位置。本发明能够发现仿真未预料到的局部氢气聚集团，实时云图 通过数据驱动和动态适应，解决了仿真与经验方法在实时性、环境复杂性、突发响应方面的固有瓶颈， 尤其适合氢气泄漏这类需要秒级响应的安全场景。 ...