AI时代下，胜宏科技市值逆袭鹏鼎控股成“PCB股王”

Core Viewpoint - Nvidia has become the first company in the world to surpass a market capitalization of $4 trillion, reaching $4.5 trillion by August 12, 2023, which has significantly impacted related stocks in the A-share market, particularly Shenghong Technology, whose stock price has surged over 450% this year [1][2] Group 1: Company Performance - Shenghong Technology's stock price reached 245 yuan per share on August 18, 2023, with a market capitalization exceeding 200 billion yuan, making it the "king of PCB stocks" [1] - In contrast, Pengding Holdings, despite maintaining revenue scale advantages, reported a net profit in Q1 2023 that was only 52.8% of Shenghong Technology's [1][3] - Shenghong Technology's revenue from AI-related products accounted for over 40% in Q1 2025, achieving a net profit increase of 339.22% to 9.21 billion yuan [5][10] Group 2: Market Dynamics - The market dynamics have shifted, with Shenghong Technology benefiting from its deep integration into Nvidia's AI GPU supply chain, while Pengding Holdings remains heavily reliant on the Apple supply chain [2][6] - The global AI PCB market is projected to reach $5.6 billion in 2025, with a compound annual growth rate of 33% [7][10] - The demand for AI-related PCBs is driving the industry towards higher layers, density, and speed, with Shenghong Technology positioned as a key supplier due to its advanced capabilities in HDI technology [10][11] Group 3: Competitive Landscape - Shenghong Technology's strategic decision to enter the high-end HDI market in 2019 has led to significant growth, with revenues increasing by 17.58%, 44.15%, and 32.72% from 2019 to 2021 [4] - Pengding Holdings has been expanding its production capacity for AI-related products, with plans to invest 8 billion yuan in a new industrial park to enhance its capabilities in high-end HDI and SLP products [8][11] - The competition in the PCB industry is intensifying, with other manufacturers, including Pengding Holdings, also ramping up production to meet the growing demand for AI applications [11]