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从概念到盈利,AI应用端迎来价值重估| A股2026投资策略②
Xin Lang Cai Jing· 2025-12-28 00:04
2025年,A股市场的AI主线清晰地呈现出"硬件先行"的格局,算力需求的指数级增长,推动了CPO、AI 服务器、存储芯片等硬件环节率先实现业绩兑现.其中,工业富联(601138.SH)AI服务器相关业务营收 同比增长5倍,中际旭创(300308.SZ)光模块营收呈现量价齐身,股价井喷式上涨。 随着硬件基础设施持续完善、算力成本逐步下行,以及AI技术在各行业的深度渗透,市场目光开始转 向"硬件之后谁接棒"的核心问题。从产业周期视角观察,AI发展遵循"基础设施先行-中间层工具-上层 应用"的传导路径。硬件端的爆发为应用层提供了必要的算力基础和环境支持。 多家券商在2026年投资策略中明确指出,AI产业链的投资机会将从硬件端向应用侧扩散。展望2026 年,AI应用端企业是否将迎来业绩与估值的双重爆发?哪些细分赛道将有望成为新投资风口? AI产业正步入从"可用"到"好用"、从"技术验证"到"规模商用"的关键拐点。在美股市场,AI应用端的业 绩叙事已率先展开,特别是数字广告领域,广告营销已成为AI应用最先实现商业化落地的领域之一。 得益于AI在广告素材生成、程序化投放优化、用户精准触达等方面的深度赋能,相关公司不仅提升 ...
能科科技(603859):AI成主增长引擎,绑定华为迈入行业生态核心圈
Guohai Securities· 2025-11-05 12:23
Investment Rating - The report assigns a "Buy" rating for the company, marking its first coverage [1][11]. Core Insights - The company has shown steady revenue growth, with a significant increase in net profit driven by an optimized business structure focusing on AI-related services [5][6]. - The partnership with Huawei has positioned the company at the core of the "industry + AI" ecosystem, enhancing its growth potential [9]. Financial Performance Summary - For the first three quarters of 2025, the company reported revenue of 1.089 billion yuan, a year-on-year increase of 5.05%, and a net profit attributable to shareholders of 165 million yuan, up 40.34% [4]. - In Q3 2025, revenue reached 351 million yuan, reflecting a 5.35% year-on-year growth, while net profit surged by 122.94% to 54 million yuan [4]. Business Growth Drivers - AI has emerged as the main growth engine, with AI-related revenue accounting for 30.79% of total revenue, amounting to 335 million yuan [6]. - The company has effectively controlled expenses, with sales and management expenses decreasing by 14.23% and 3.66% respectively, while R&D expenses increased by 2.97% [5]. Future Projections - Revenue projections for 2025-2027 are estimated at 1.76 billion, 2.08 billion, and 2.465 billion yuan respectively, with corresponding net profits of 236 million, 305 million, and 388 million yuan [11]. - The report anticipates a gradual increase in EPS from 0.97 yuan in 2025 to 1.58 yuan in 2027, with a decreasing P/E ratio from 47.27x to 28.81x over the same period [11].
能科科技(603859):工业AI加速渗透,AI业务实现突破性增长
Haitong Securities International· 2025-06-17 12:31
Investment Rating - The report maintains an "Outperform" rating for the company with a target price of RMB 38.97 [1][10]. Core Insights - The company is experiencing steady improvement in operational quality, with AI products and services achieving breakthrough growth, leading the intelligent transformation in the industrial software sector [1][10]. - The forecast for EPS is RMB 0.97 for 2025, RMB 1.26 for 2026, and RMB 1.65 for 2027, with a forward PE of 40x assigned for 2025 [10][11]. Financial Summary - Revenue is projected to grow from RMB 1.405 billion in 2023 to RMB 2.485 billion by 2027, reflecting a CAGR of approximately 20.1% [3][5]. - Net profit attributable to shareholders is expected to fluctuate, with a decline to RMB 192 million in 2024, followed by a recovery to RMB 403 million by 2027 [3][5]. - The company’s operating cash flow improved significantly, reaching RMB 519 million in 2024, a 64.87% increase [11]. Business Segments - AI products and services revenue is forecasted to surge from RMB 273 million in 2024 to RMB 1.032 billion by 2027, with an impressive growth rate of 1255.99% in 2024 [8][12]. - The cloud products and services segment is expected to grow steadily, with revenue increasing from RMB 458.24 million in 2024 to RMB 626.66 million by 2027 [8]. - The industrial engineering and electrical products segment is projected to grow from RMB 456.50 million in 2024 to RMB 658.53 million by 2027 [8]. Competitive Positioning - The company is focusing on optimizing its self-developed "Le Series" industrial software, enhancing its core competitiveness with 12 industry packages and 156 industrial components [13]. - The launch of the "Ling Series" AI agent aims to address various industry needs, showcasing the company's commitment to leading the digital and intelligent ecosystem in the industrial sector [12][13].