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Analysis of Inno Laser (301021) Strong Performance and Sustainability Judgment

#激光设备 #AI基建 #PCB #创业板 #个股分析
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December 30, 2025

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Analysis of Inno Laser (301021) Strong Performance and Sustainability Judgment

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Comprehensive Analysis

Inno Laser (301021)'s strong performance is driven by two positive factors: First, it completed the initial sampling of M9 material (a key material for AI servers) and connected with customers for factory audits, demonstrating its technical strength in high-end laser applications [3]; Second, it obtained the first order of ultra-fast laser drilling equipment from an IC substrate customer, which can be used for high-performance chip packaging, marking the product’s recognition by high-end customers and is expected to be downward compatible with precision drilling needs in various computing power fields [3]. At the industry level, AI infrastructure drives demand for high-end PCBs, and the equipment and consumables sector is entering a golden opportunity period, providing a favorable environment for the company’s development [5]. On December 29, the company’s stock price rose 5.35% to 45.69 yuan, with a turnover of 236 million yuan and a turnover rate of 3.51% [1]; previously, it fell due to shareholder Hongcui Investment’s plan to reduce holdings by no more than 3% of shares, then rebounded quickly under the stimulus of positive news [2][4].

Key Insights
  1. The company’s technology is highly aligned with the trend of AI infrastructure; the M9 material and IC substrate equipment orders reflect its technical advantages in laser applications in the computing power field, and it is expected to benefit from industry growth.
  2. The first order lays the foundation for market expansion; if subsequent bulk orders are obtained, it will significantly boost performance expectations.
  3. Industry competition pressure is prominent; leading companies like Han’s CNC have completed M9 material testing, so the company needs to accelerate the technology commercialization process to consolidate its advantages [5].
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Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.