证券代码：002958 证券简称：青农商行 公告编号：2026-005 转债代码：128129 转债简称：青农转债 青岛农村商业银行股份有限公司 2026 年第一次临时股东会决议公告 本行及董事会全体成员保证公告内容的真实、准确和完整，没有虚假记载、误导 性陈述或者重大遗漏。 特别提示： 1.本次股东会无否决提案的情形。 2.本次股东会不涉及变更以往股东会已通过的决议。 一、会议召开情况 （一）召开时间： 1.现场会议召开时间：2026年2月3日（星期二）下午15:00。 （五）主持人：本行执行董事、行长于丰星先生（代为履行董事长职责）。 （六）本次会议的召开符合《中华人民共和国公司法》及《青岛农村商业银行股 份有限公司章程》（以下简称《公司章程》）等有关规定。 二、会议出席情况 1 2.网络投票时间：通过深圳证券交易所交易系统进行网络投票的时间为2026年2 月3日上午9:15-9:25，9:30-11:30，下午13:00-15:00；通过深圳证券交易所互联网投票 系统投票的时间为2026年2月3日9:15-15:00。 （二）会议地点：青岛市崂山区秦岭路6号1号楼（农商财富大厦）4楼会议室。 （三）召开 ...

法律意见书 致:青岛农村商业银行股份有限公司 江苏世纪同仁律师事务所关于 青岛农村商业银行股份有限公司 2026年第一次临时股东会的 根据《中华人民共和国证券法》《中华人民共和国公司法》《上市公司股东 会规则》(以下简称"《股东会规则》")等法律、法规和规范性文件以及现行 有效的《青岛农村商业银行股份有限公司章程》（以下简称"《公司章程》"） 的规定,江苏世纪同仁律师事务所(以下简称"本所")受青岛农村商业银行股 份有限公司(以下简称"公司")委托,指派本所律师出席公司 2026年第一次临 时股东会(以下简称"本次股东会"),并就本次股东会相关事项出具本法律意 见书。 为出具本法律意见书,本所律师对本次股东会所涉及的有关事项进行了审查, 查阅了相关会议文件,并对有关问题进行了必要的核查和验证。 本所同意将本法律意见书作为本次股东会的公告材料,随同其他会议文件一 并报送有关机构并公告。除此以外,未经本所同意,本法律意见书不得为任何其 他人用于任何其他目的。 本所律师根据相关法律、法规和规范性文件的要求,按照律师行业公认的业 务标准、道德规范和勤勉尽责精神,出具法律意见如下: 一、关于本次股东会的召集、召开程序和 ...

表决结果为：同意 11 票，反对 0 票，弃权 0 票。 | 证券代码：002958 | 证券简称：青农商行 | 公告编号：2026-006 | | --- | --- | --- | | 转债代码：128129 | 转债简称：青农转债 | | 青岛农村商业银行股份有限公司 第五届董事会第十七次临时会议决议公告 本行及董事会全体成员保证公告内容的真实、准确和完整，没有虚假记载、误导 性陈述或者重大遗漏。 青岛农村商业银行股份有限公司（以下简称本行）第五届董事会第十七次临时会 议于 2026 年 2 月 3 日在本行总行召开。会议通知已于 2026 年 1 月 23 日以电子邮件 及书面方式发出。应出席本次会议的董事 11 人，实际出席本次会议（含网络方式） 的董事 11 人。薛健、潘爱玲、李维安、王绍宏董事以网络方式参加会议。会议由执 行董事、行长于丰星（代为履行董事长职责）主持，部分高级管理人员列席了会议。 会议的召开及表决程序符合《中华人民共和国公司法》及《公司章程》的有关规定。 会议审议通过了以下议案： 1.审议并通过《关于选举青岛农村商业银行股份有限公司第五届董事会董事长的 议案》。 青岛农村商业银行 ...

Core Viewpoint - The agricultural commercial bank sector experienced a decline of 1.13% on February 3, with the Shanghai Agricultural Commercial Bank leading the drop, while the overall Shanghai Composite Index rose by 1.29% [1] Group 1: Market Performance - The Shanghai Composite Index closed at 4067.74, up 1.29%, and the Shenzhen Component Index closed at 14127.1, up 2.19% [1] - The agricultural commercial bank sector saw various individual stock performances, with notable declines in several banks, including Jiangyin Bank and Zhangjiagang Bank, both down by 0.88% [1] Group 2: Trading Volume and Capital Flow - The total trading volume for the agricultural commercial bank sector was significant, with the highest trading volume recorded for Qingnong Bank at 895,900 shares and a total transaction value of 274 million yuan [1] - The sector experienced a net inflow of 77.82 million yuan from institutional investors, while retail investors saw a net outflow of 106 million yuan [1] Group 3: Individual Stock Analysis - Yunnan Agricultural Commercial Bank had a net inflow of 32.1 million yuan from institutional investors, but a net outflow of 18.46 million yuan from retail investors [2] - Changshu Bank also saw a net inflow of 23.19 million yuan from institutional investors, with retail investors withdrawing 10.73 million yuan [2] - Su Nong Bank had a net inflow of 15.3 million yuan from institutional investors, but a significant net outflow of 20.84 million yuan from retail investors [2]

Core Viewpoint - The article highlights the ongoing institutional research on listed banks in January, focusing on credit issuance, net interest margin, asset quality trends, and bond investment strategies during the peak marketing season [1][2][7]. Group 1: Institutional Research and Credit Issuance - A total of 373 institutions conducted research on 11 A-share listed banks, with 49 research instances recorded by January 31 [1][7]. - The banks under review include Nanjing Bank, Ningbo Bank, Shanghai Bank, and others, with Nanjing Bank being the most favored, receiving 76 institutional inquiries [2][8]. - Institutions are particularly focused on credit issuance during the marketing peak, with many banks reporting better performance compared to the same period in 2025 [2][8]. - Key areas for credit issuance include manufacturing, infrastructure construction, and green low-carbon transformation projects [3][9]. Group 2: Net Interest Margin Stability - Net interest margin (NIM) is a critical indicator of banking performance, with banks focusing on stabilizing NIM through asset and liability management [4][11]. - Shanghai Bank anticipates a slight decline in NIM due to the expected decrease in loan market quotation rates (LPR) and competitive pressures on deposit pricing [11][12]. - Qilu Bank is optimizing its asset portfolio and enhancing low-cost deposit acquisition to stabilize NIM [11][12]. Group 3: Bond Investment Strategies - The bond market has been volatile since 2025, affecting the bond investment returns of regional small and medium-sized banks [6][12]. - Shanghai Bank expects bond rates to remain in a fluctuating range in 2026, with limited potential for a trend reversal [6][13]. - Hu Nong Bank plans to focus on bond investment for asset allocation while employing risk management strategies, including the use of derivatives [6][13]. Group 4: Asset Quality Management - Banks are implementing measures to maintain stable asset quality, including improving the quality of new loans and increasing efforts to manage non-performing loans [6][13].

Group 1 - In January, 11 A-share listed banks were surveyed by 373 institutions, with a total of 49 survey instances, focusing on credit issuance, net interest margin, asset quality trends, and bond investment strategies during the peak marketing season [1] - The surveyed banks include Nanjing Bank, Ningbo Bank, Shanghai Bank, Hangzhou Bank, Suzhou Bank, Qingdao Bank, Qilu Bank, Xiamen Bank, Hu Nong Bank, Qing Nong Bank, and Zijin Bank, with six banks experiencing stock price increases, led by Qingdao Bank with over 16% growth [2] - Nanjing Bank was the most favored by institutions, receiving 76 surveys, while Shanghai Bank received 75 surveys, indicating strong interest in their credit issuance during the marketing peak [2] Group 2 - The focus of the credit issuance during the peak marketing season is on corporate credit, with banks reporting better performance compared to the same period in 2025, emphasizing manufacturing, infrastructure, and green transformation projects [2][3] - Shanghai Bank anticipates a continued decline in the Loan Prime Rate (LPR) in 2026, which may lead to a slight decrease in net interest margin due to competitive market factors [4] - Qilu Bank aims to stabilize its net interest margin by optimizing asset management and expanding low-cost deposits while managing liabilities effectively [4] Group 3 - The overall pressure on net interest margin for listed banks is expected to ease in 2026, with a narrowing decline anticipated, supported by improvements in funding costs [5] - Shanghai Bank predicts that bond yields will continue to fluctuate within a range in 2026, with low likelihood of a trend reversal [5] - Hu Nong Bank plans to focus on bond investments primarily for allocation, while also employing advanced technologies for trading and risk management [6]

Market Overview - The agricultural commercial bank sector experienced a decline of 1.94% on February 2, with the Shanghai Agricultural Commercial Bank leading the drop [1] - The Shanghai Composite Index closed at 4015.75, down 2.48%, while the Shenzhen Component Index closed at 13824.35, down 2.69% [1] Individual Stock Performance - Key stocks in the agricultural commercial bank sector showed the following closing prices and changes: - Zijin Bank: 2.79, down 0.71% - Jiangyin Bank: 4.53, down 0.88% - Zhangjiagang Bank: 4.53, down 0.88% - Ruifeng Bank: 5.40, down 0.92% - Sunong Bank: 4.97, down 1.00% - Changshu Bank: 7.22, down 1.10% - Yuanxi Bank: 5.81, down 1.53% - Qingnong Bank: 3.08, down 1.91% - Yunnan Agricultural Bank: 6.33, down 2.31% - Shanghai Agricultural Bank: 8.36, down 2.68% [1] Capital Flow Analysis - The agricultural commercial bank sector saw a net inflow of 115 million yuan from main funds, while retail funds experienced a net outflow of 52.86 million yuan [1] - The following table summarizes the capital flow for individual stocks: - Yunnan Agricultural Bank: 92.03 million yuan net inflow from main funds, -11.7 million yuan from retail funds - Shanghai Agricultural Bank: 32.16 million yuan net inflow from main funds, -22.14 million yuan from retail funds - Changshu Bank: 19.96 million yuan net inflow from main funds, -31.03 million yuan from retail funds - Sunong Bank: 5.13 million yuan net inflow from main funds, -14.29 million yuan from retail funds - Qingnong Bank: 3.28 million yuan net inflow from main funds, -18.58 million yuan from retail funds - Jiangyin Bank: -4.47 million yuan net outflow from main funds, -3.44 million yuan from retail funds - Wuxi Bank: -5.97 million yuan net outflow from main funds, 0.13 million yuan from retail funds - Ruifeng Bank: -7.41 million yuan net outflow from main funds, 1.42 million yuan from retail funds - Zhangjiagang Bank: -7.44 million yuan net outflow from main funds, 6.66 million yuan from retail funds - Zijin Bank: -12.72 million yuan net outflow from main funds, 3.51 million yuan from retail funds [2]

Group 1 - The agricultural commercial bank sector increased by 2.37% on January 29, with Chongqing Rural Commercial Bank leading the gains [1] - The Shanghai Composite Index closed at 4157.98, up 0.16%, while the Shenzhen Component Index closed at 14300.08, down 0.3% [1] - Major stocks in the agricultural commercial bank sector showed varying performance, with Chongqing Rural Commercial Bank closing at 6.47, up 4.19% [1] Group 2 - The net inflow of main funds in the agricultural commercial bank sector was 67.54 million yuan, while retail funds saw a net inflow of 44.49 million yuan [1] - The table of fund flows indicates that the main funds had a negative net flow in several banks, including Shanghai Rural Commercial Bank and Jiangyin Bank [2] - Retail investors showed a positive net flow in several banks, including Jiangyin Bank and Su Nong Bank, despite some negative flows in other banks [2]

Core Insights - The agricultural commercial bank sector experienced a rise of 0.59% on January 28, with Changshu Bank leading the gains [1] - The Shanghai Composite Index closed at 4151.24, up by 0.27%, while the Shenzhen Component Index closed at 14342.9, up by 0.09% [1] Agricultural Commercial Bank Sector Performance - Changshu Bank (601128) closed at 7.34, with an increase of 2.23% and a trading volume of 733,900 shares, amounting to a transaction value of 537 million [1] - Zhangjiagang Bank (002839) closed at 4.52, up by 1.35%, with a trading volume of 333,700 shares and a transaction value of 150 million [1] - Yunnan Agricultural Commercial Bank (601077) closed at 6.21, increasing by 0.98%, with a trading volume of 868,000 shares and a transaction value of 541 million [1] - Other banks such as Wuxi Bank (600908), Jiangyin Bank (002807), and Zijin Bank (601860) also showed modest gains [1] Capital Flow Analysis - The agricultural commercial bank sector saw a net inflow of 91.16 million from institutional investors, while retail investors experienced a net outflow of 205 million [1] - Notable net inflows from individual stocks include Hu Agricultural Commercial Bank (601825) with 52.25 million from institutional investors and Zhangjiagang Bank (002839) with 13.01 million [2] - Conversely, Yunnan Agricultural Commercial Bank (601077) and Hu Agricultural Commercial Bank (601825) faced significant net outflows from retail investors, amounting to 88.16 million and 98.40 million respectively [2]

Group 1: Support for Local Industries - The bank focuses on supporting Qingdao's characteristic industries, such as marine economy and biomedicine, by identifying financing needs along the industrial chain and promoting steady growth in loan scales for major local industries [2] - The bank is expanding the application scenarios for sustainable development-linked loans and enhancing its carbon accounting platform to support the district's dual carbon goals [2] - Specific products like "Marine High-tech Loan" and "Port Supply Chain Finance" are being launched to support the marine industry [2] Group 2: Asset Quality Outlook - The bank anticipates a continued stable improvement in asset quality, with a decreasing non-performing loan (NPL) ratio [2] - Factors contributing to the decline in NPL ratio include restructuring the credit organization and business processes, which has led to better quality in newly issued loans [2] - Proactive risk assessment and increased efforts in managing existing risk clients have helped mitigate the occurrence of new NPLs [2]