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Huaxi Securities: RAYBAN META ignites the market, smart glasses enter the stage of accelerated iteration and integration.
Asia vets eyewear products are diverse in form and are accelerating the process of integration and iteration.
Half-year report for the year 2024.
Summary of Half-Year Report in 2024.
Express News | Biwin Storage Says It Returns to H1 Net Profit of 283.4 Mln Yuan
BWSTOCK (688525.SH): The net income in the first half of the year was 0.283 billion yuan, turning around from a year-on-year loss.
Guangzhou Securities August 22nd | Baiwei Storage (688525.SH) announced its semi-annual report. According to the company's financial report statistics, the company achieved revenue of 3.44 billion yuan in the first half of 2024, an increase of 199.64% year-on-year; the net income attributable to the mother was 0.283 billion yuan, a turnaround year-on-year. After excluding share-based payment expenses, the net income attributable to the mother was 0.48 billion yuan, an increase of 264.11% year-on-year. The company's performance growth in the first half of 2024 is mainly due to the company's firm grasp of industry opportunities, vigorously expanding domestic and foreign first-tier customers, and achieving breakthroughs in market and business growth, with a significant increase in product sales compared to the same period last year.
Asia vets Storage (688525.SH): providing ROM+RAM memory chips for Meta's latest AI smart glasses Ray-Ban Meta.
On August 8th, Growatt Stores (688525.SH) stated on the investor interaction platform that the company provides ROM and RAM storage chips for Meta's latest AI smart glasses, Ray-Ban Meta. The Ray-Ban Meta smart glasses series is equipped with the first-generation Qualcomm Snapdragon AR1 platform, which is uniquely designed and optimized for power consumption limits in heat dissipation to create lightweight smart glasses. With the layout of integrated research and development and testing, the company has strong competitive advantages in the field of smart wearables and is able to optimize firmware algorithms in areas such as low power consumption and fast response.
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