Investment Highlights - PCB technology is evolving in materials, processes, and architecture, driving continuous value growth. The demand from AI servers, high-speed communication, and automotive electronics is pushing PCB technology upgrades across these three dimensions [2][3][9] - The upstream high-end materials are in short supply, and cost increases are being passed down to downstream PCB manufacturers. The core materials for copper-clad laminates (CCL) include copper foil, resin, and fiberglass cloth, with cost shares of 39%, 26%, and 18% respectively [4][6][46] - The PCB market is on an upward cycle, driven by AI, with both volume and price increasing across various sectors. The global PCB market is expected to reach $94.7 billion by 2029, with a CAGR of 5.2% from 2024 to 2029 [7][8] PCB Technology Evolution - The evolution of PCB technology is driven by high line density and electrical performance. PCBs serve as critical interconnects in electronic products, supporting various components and providing electrical connections [10][11] - The PCB production technology is continuously updated in materials, processes, and architecture, with significant advancements in high-density interconnects and high-performance materials [18][19][20] Upstream Materials - The core materials for CCL are copper foil, resin, and fiberglass cloth, which significantly influence signal transmission speed and loss. The CCL accounts for 40% of the total PCB cost [39][46] - The global CCL industry is highly concentrated, with a CR10 of 77% in 2024, indicating a strong oligopoly in the market [41] - The demand for high-end HVLP copper foil and ultra-thin copper foil is surging, with Japanese and Taiwanese manufacturers dominating the high-end market [60][62][63] Market Dynamics - The PCB industry is experiencing a shift towards Southeast Asia, with China's share of the global PCB market expected to be around 50% by 2029. The industry has matured, with significant competition and a fragmented market [17] - The demand for special fiberglass cloth is increasing due to AI and high-speed communication, leading to upgrades in low-dielectric and quartz cloth [66][70] Future Outlook - The PCB market is expected to benefit from the ongoing technological advancements and increasing demand from AI and high-speed communication sectors. The integration of advanced packaging technologies like CoWoP and embedded power chips is anticipated to further enhance PCB value [23][32][34]

Core Viewpoint - The PCB (Printed Circuit Board) industry is a crucial component of modern electronic products, with China leading the global market in production value and growth rate [1][3]. Industry Overview - The global PCB market is projected to reach $73.565 billion in 2024, with a year-on-year growth of 5.8%, while China's market is expected to reach $41.213 billion, growing at 9.0% [1]. - Guangdong province accounts for approximately 60% of China's PCB production capacity, housing a cluster of listed companies with a combined market value exceeding one trillion yuan [3][6]. Historical Development - China's PCB industry has evolved from limited production capabilities in the 1950s to becoming the world's largest producer by the mid-2000s, with significant contributions from Taiwan and Japan [5][6]. - The industry is concentrated in the Pearl River Delta and Yangtze River Delta regions, with Guangdong being the primary production base [5]. Market Dynamics - As of September 2025, there are 43 listed PCB companies in China's A-share market, with a total market capitalization of 1.46 trillion yuan, representing 1.27% of the total A-share market [6]. - Major cities for PCB companies include Shenzhen, Huizhou, Changzhou, and Shanghai, with Guangdong's listed companies valued at 1.03 trillion yuan [6]. Regional Development - The PCB industry is experiencing a shift towards midwestern cities, with regions like Jiangxi and Anhui emerging as new hubs due to favorable policies and cost advantages [8][10]. - Xinfeng County in Jiangxi has attracted over 200 electronic enterprises, achieving a production value of 22.887 billion yuan in 2024, marking a 23.2% increase [9]. - Guangde County in Anhui has developed into a significant PCB production area, with over 92 electronic circuit companies and an annual output exceeding 10 billion yuan [10]. Technological Advancements - The rise of AI technology is driving demand for high-performance PCBs, particularly for applications in AI servers and smart driving, necessitating advanced manufacturing processes [12]. - Leading companies in the PCB sector are increasing investments in high-end production capabilities, particularly in Zhuhai, which is becoming a new center for high-end PCB manufacturing [12][14]. Investment Trends - Major PCB manufacturers are planning significant expansions, with investments in advanced PCB production facilities across various cities, including Zhuhai and Huizhou [13][14]. - For instance, Jingwang Electronics is investing 5 billion yuan in a high-end HDI production project in Zhuhai, while Dongshan Precision has a total investment plan of $1 billion for its operations [13][14].

Group 1 - The circuit board index experienced a decline, with a drop of 2.01% during intraday trading [1] - Component stocks generally weakened, with notable declines in several companies [1] Group 2 - Dongshan Precision fell by 6.24%, Shenghong Technology decreased by 6.12%, and Jingwang Electronics dropped by 5.86% [1] - In addition, Inno Laser and Shengyi Electronics saw declines of 5.03% and 4.27%, respectively [1]

Market Performance - A-shares have achieved remarkable results over the past year, with the Shanghai Composite Index up over 40%, the Shenzhen Component Index up over 65%, the ChiNext Index up over 108%, and the STAR Market 50 Index up 126.5% [1] - The market showed a positive trend today, with the Shanghai Composite Index rising 0.83%, the Shenzhen Component Index rising 1.80%, and the ChiNext Index rising 2.28% [16] Semiconductor Industry - In August, China's semiconductor production equipment (SPE) imports reached $2.6 billion, a year-on-year increase of 12%, but a month-on-month decrease of 22% [5][7] - Year-to-date, SPE imports have totaled $21.2 billion, reflecting a 3% year-on-year growth, with a 1 percentage point improvement in growth rate compared to the first seven months [5] - The strong growth in import demand is primarily driven by lithography equipment, which saw a year-on-year increase of 55% [6] - Shanghai's import demand remains robust, with a year-on-year increase of 132%, indicating ongoing expansion in 28nm and below logic chip production capacity [6] Corporate Developments - Alibaba's stock surged by 9%, with positive statements from executives regarding token usage and a significant investment plan of RMB 380 billion over the next three years [13] - Alibaba announced a collaboration with NVIDIA on Physical AI, covering various aspects including data processing and model training [13] Digital Consumption - The Ministry of Commerce and other departments issued guidelines to promote digital consumption, focusing on smart connected vehicles and the development of new consumer brands [20] Building Materials - Six departments issued a work plan for the building materials industry, emphasizing strict control over cement and glass production capacity [21] Gaming Industry - The National Press and Publication Administration approved 11 imported games in September, including "Cosmic Robot" [22] Financial Sector - The number of securities analysts has exceeded 6,100, marking a new high [23] - The Ministry of Finance and other departments released policies to support service exports, including 13 specific measures [23] Stock Market Trends - The electronic industry saw the largest net inflow of funds today, with Northbound funds totaling 28.6 billion yuan [26] - The market is experiencing a surge in interest in semiconductor-related stocks, with multiple companies in the sector showing strong performance [16][17]

Group 1 - The CPO and PCB sectors, which are part of the computing hardware industry, experienced a decline in stock prices [1] - Guangku Technology saw a drop of over 10% in its stock price [1] - Jingwang Electronics approached the limit down, indicating significant selling pressure [1] Group 2 - Tianfu Communication's stock fell by over 6% [1] - Shenghong Technology and Simi Electronics both experienced declines of over 5% [1] - Multiple stocks, including Zhongji Xuchuang and Xinyi Sheng, dropped by over 4% [1]

Quantitative Models and Construction Methods 1. Model Name: 250-Day New High Distance - **Model Construction Idea**: This model tracks the distance of a stock's closing price from its 250-day high to identify momentum and trend-following opportunities in the market. It is inspired by studies showing that stocks near their 52-week highs tend to outperform[11][18]. - **Model Construction Process**: The formula for the 250-day new high distance is: $ 250\ Day\ New\ High\ Distance = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ Where: - $Close_t$ represents the latest closing price - $ts\_max(Close, 250)$ represents the maximum closing price over the past 250 trading days If the latest closing price reaches a new high, the distance is 0. If the price has fallen from the high, the distance is a positive value indicating the percentage drop[11]. - **Model Evaluation**: This model effectively captures market momentum and highlights stocks or indices that are leading the market trends[11][18]. 2. Model Name: Stable New High Stock Screening - **Model Construction Idea**: This model identifies stocks with stable price paths and consistent momentum, as smoother price trajectories are associated with stronger momentum effects[27]. - **Model Construction Process**: The screening process involves the following steps: - **Analyst Attention**: Stocks must have at least 5 "Buy" or "Overweight" ratings in the past 3 months - **Relative Strength**: Stocks must rank in the top 20% of the market based on 250-day price performance - **Price Stability**: Stocks are scored based on two metrics: - **Price Path Smoothness**: Measured by the ratio of price displacement to the total price path length - **Momentum Consistency**: Calculated as the time-series average of the 250-day new high distance over the past 120 days - **Trend Continuation**: Stocks are ranked based on the 5-day average of the 250-day new high distance, and the top 50 stocks are selected[27][29]. - **Model Evaluation**: This model emphasizes the importance of smooth and consistent price movements, which are less likely to attract excessive attention and thus generate stronger momentum effects[27][29]. --- Model Backtesting Results 1. 250-Day New High Distance - **Indices' 250-Day New High Distance**: - Shanghai Composite: 1.63% - Shenzhen Component: 1.09% - CSI 300: 1.08% - CSI 500: 1.24% - CSI 1000: 1.54% - CSI 2000: 1.91% - ChiNext Index: 1.79% - STAR 50 Index: 1.28%[2][12][34] 2. Stable New High Stock Screening - **Selected Stocks**: 50 stocks were identified, including Industrial Fulian, Giant Network, and Shengyi Electronics. - **Sector Distribution**: - Technology: 18 stocks (e.g., Electronics) - Manufacturing: 15 stocks (e.g., Machinery)[3][30][35] --- Quantitative Factors and Construction Methods 1. Factor Name: 250-Day New High Distance - **Factor Construction Idea**: Measures the relative position of a stock's closing price to its 250-day high, capturing momentum and trend-following signals[11]. - **Factor Construction Process**: $ 250\ Day\ New\ High\ Distance = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ - $Close_t$: Latest closing price - $ts\_max(Close, 250)$: Maximum closing price over the past 250 trading days[11]. 2. Factor Name: Price Path Smoothness - **Factor Construction Idea**: Quantifies the smoothness of a stock's price trajectory, as smoother paths are associated with stronger momentum effects[27]. - **Factor Construction Process**: - **Price Path Smoothness**: Ratio of price displacement to total price path length over a given period[27]. 3. Factor Name: Momentum Consistency - **Factor Construction Idea**: Measures the stability of a stock's momentum over time, emphasizing consistent performance[27]. - **Factor Construction Process**: - **Momentum Consistency**: Time-series average of the 250-day new high distance over the past 120 days[27]. 4. Factor Name: Trend Continuation - **Factor Construction Idea**: Captures short-term momentum by analyzing recent price movements[27]. - **Factor Construction Process**: - **Trend Continuation**: 5-day average of the 250-day new high distance, with stocks ranked based on this metric[27]. --- Factor Backtesting Results 1. 250-Day New High Distance - **Indices' 250-Day New High Distance**: - Shanghai Composite: 1.63% - Shenzhen Component: 1.09% - CSI 300: 1.08% - CSI 500: 1.24% - CSI 1000: 1.54% - CSI 2000: 1.91% - ChiNext Index: 1.79% - STAR 50 Index: 1.28%[2][12][34] 2. Stable New High Stock Screening Factors - **Selected Stocks**: 50 stocks were identified, including Industrial Fulian, Giant Network, and Shengyi Electronics. - **Sector Distribution**: - Technology: 18 stocks (e.g., Electronics) - Manufacturing: 15 stocks (e.g., Machinery)[3][30][35]

Quantitative Models and Construction Methods 1. Model Name: 250-Day New High Distance Model - **Model Construction Idea**: This model tracks the distance of the latest closing price from the highest closing price over the past 250 trading days. It is used to identify stocks or indices that are approaching or have surpassed their historical highs, which can serve as indicators of market trends and hotspots[11][18]. - **Model Construction Process**: The formula for the 250-day new high distance is: $ 250\ Day\ New\ High\ Distance = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ Where: - $ Close_t $ represents the latest closing price - $ ts\_max(Close, 250) $ represents the maximum closing price over the past 250 trading days If the latest closing price reaches a new high, the distance is 0. If the price has fallen from the high, the distance is a positive value indicating the percentage drop[11]. - **Model Evaluation**: The model is effective in identifying stocks or indices with strong momentum and can be used to monitor market trends and leading sectors[11][18]. 2. Model Name: Stable New High Stock Screening Model - **Model Construction Idea**: This model focuses on identifying stocks that not only achieve new highs but also exhibit stable price paths and consistent momentum. It incorporates factors such as analyst attention, relative strength, and price stability to refine the selection of high-momentum stocks[27][29]. - **Model Construction Process**: The screening criteria include: - **Analyst Attention**: At least 5 buy or overweight ratings in the past 3 months - **Relative Strength**: 250-day price change in the top 20% of the market - **Price Stability**: Stocks are ranked based on the following metrics: - **Price Path Smoothness**: Ratio of price displacement to the total price path - **New High Continuity**: Average 250-day new high distance over the past 120 days - **Trend Continuity**: Average 250-day new high distance over the past 5 days The top 50 stocks based on these criteria are selected as stable new high stocks[27][29]. - **Model Evaluation**: The model emphasizes the temporal characteristics of momentum and identifies stocks with smoother price paths, which are less likely to experience extreme volatility[27][29]. --- Model Backtesting Results 1. 250-Day New High Distance Model - **Indices' 250-Day New High Distance**: - Shanghai Composite: 1.63% - Shenzhen Component: 1.09% - CSI 300: 1.08% - CSI 500: 1.24% - CSI 1000: 1.54% - CSI 2000: 1.91% - ChiNext Index: 1.79% - STAR 50 Index: 1.28%[12][13][34] 2. Stable New High Stock Screening Model - **Selected Stocks**: 50 stocks were identified, including Industrial Fulian, Giant Network, and Shengyi Electronics. - **Sector Distribution**: - Technology: 18 stocks (e.g., Electronics) - Manufacturing: 15 stocks (e.g., Machinery)[30][35] --- Quantitative Factors and Construction Methods 1. Factor Name: 250-Day New High Distance - **Factor Construction Idea**: Measures the relative position of the latest closing price to the highest price in the past 250 trading days, indicating momentum strength[11]. - **Factor Construction Process**: The formula is: $ 250\ Day\ New\ High\ Distance = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ Where: - $ Close_t $ is the latest closing price - $ ts\_max(Close, 250) $ is the maximum closing price over the past 250 trading days[11]. - **Factor Evaluation**: This factor effectively captures momentum and is widely used in trend-following strategies[11][18]. 2. Factor Name: Price Path Smoothness - **Factor Construction Idea**: Evaluates the stability of a stock's price movement by comparing the displacement of the price path to its total length[27]. - **Factor Construction Process**: $ Price\ Path\ Smoothness = \frac{Price\ Displacement}{Total\ Price\ Path} $ Where: - Price Displacement is the straight-line distance between the starting and ending prices - Total Price Path is the cumulative sum of absolute daily price changes over a given period[27]. - **Factor Evaluation**: Stocks with smoother price paths tend to exhibit stronger and more sustainable momentum[27]. 3. Factor Name: New High Continuity - **Factor Construction Idea**: Measures the consistency of a stock's ability to maintain new highs over time[29]. - **Factor Construction Process**: $ New\ High\ Continuity = Average\ (250\ Day\ New\ High\ Distance\ Over\ Past\ 120\ Days) $ This factor calculates the mean of the 250-day new high distance over a rolling 120-day window[29]. - **Factor Evaluation**: This factor highlights stocks with persistent upward trends, making them attractive for momentum-based strategies[29]. --- Factor Backtesting Results 1. 250-Day New High Distance - **Indices' 250-Day New High Distance**: - Shanghai Composite: 1.63% - Shenzhen Component: 1.09% - CSI 300: 1.08% - CSI 500: 1.24% - CSI 1000: 1.54% - CSI 2000: 1.91% - ChiNext Index: 1.79% - STAR 50 Index: 1.28%[12][13][34] 2. Price Path Smoothness and New High Continuity - **Selected Stocks**: 50 stocks were identified, including Industrial Fulian, Giant Network, and Shengyi Electronics. - **Sector Distribution**: - Technology: 18 stocks (e.g., Electronics) - Manufacturing: 15 stocks (e.g., Machinery)[30][35]

Core Points - The company announced a cash dividend of 0.30 yuan per share for the first half of 2025, approved at the extraordinary shareholders' meeting on September 2, 2025 [2][4][6] Distribution Plan - The profit distribution plan involves a cash dividend of 3.00 yuan for every 10 shares held, with no stock dividends or capital reserve transfers [4][7] - The total number of shares eligible for profit distribution is 823,586,906, leading to a total cash dividend payout of approximately 24,707.6072 million yuan (including tax) [4][7] Taxation Details - For individual shareholders holding shares for over one year, the cash dividend is exempt from personal income tax, resulting in a net payout of 0.30 yuan per share [10][11] - For shares held for less than one year, the tax will be calculated upon transfer, with a potential tax burden of 20% for shares held for one month or less [11][12] - Qualified Foreign Institutional Investors (QFII) will have a 10% withholding tax applied, resulting in a net dividend of 0.27 yuan per share [12]

Group 1 - The company announced a profit distribution plan for the first half of 2025, proposing a cash dividend of 0.30 yuan per share (including tax) [2] - The record date for the dividend is set for September 24, 2025, with the ex-dividend date and payment date both on September 25, 2025 [2]

北京市康达（广州）律师事务所 关于生益电子股份有限公司差异化分红的 法律意见书 广州市天河区珠江东路 32 号利通广场 29 层 邮编：510623 29/F, Lea Top Plaza, 32#Zhujiang East Road, Tianhe District, Guangzhou, 510623 电话/TEL：(8620) 37392666 传真/FAX：(8620) 37392826 网址/WEB：www.kangdalawyers.com 北京 西安 深圳 海口 上海 广州 杭州 沈阳 南京 天津 菏泽 成都 苏州 呼和浩特 香港 武汉 郑州 长沙 厦门 重庆 合肥 宁波 济南 昆明 本法律意见仅就本次差异化分红所涉及到的法律问题发表法律意见，并不对 有关会计、审计等专业事项和报告发表意见。本法律意见中对有关审计报告某些 数据和结论的引述，并不意味着本所对这些数据、结论的真实性和准确性作出任 何明示或默示的保证。 康达（广州）法意字 0248 号 1 本法律意见仅供公司为本次差异化分红之目的而使用，不得被任何人用于其 他任何目的。 基于上述，本所根据有关法律、法规和中国证监会有关规定的要求，按照 ...