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新興市場銘柄ダイジェスト:GENDAは反発、ブランジスタが大幅続伸

Emerging markets stock digest: GENDA rebounds, Branjista significantly extends gains.

Fisco Japan ·  Dec 3 14:50

<9166> GENDA 2624 +154

backlash. The acquisition of fixed assets, etc. for some stores of Tetsujin Enterprise, which develops karaoke facility management businesses, etc. by consolidated subsidiaries, and announced the opening of new stores. The stores eligible for the transfer will be rebranded under the “Karaoke BanBan” brand and newly opened. As stores subject to transfer participate in the company group, it is expected that human resources and knowledge related to DX will be shared with stores being developed by the company group, and improvements in store operation efficiency through joint purchases of consumables, etc. At the same time, the fact that they announced a steady monthly store development progress report seems to have been well received.

<4576> DWTI 99 +3

Massive backlash. The implementation of special shareholder benefits commemorating the 25th anniversary of the company's founding was announced after the transaction ended on the 2nd, and it has been well received. Since good results were obtained in the US late phase II clinical trial of the glaucoma treatment agent “H-1337,” it is said that it was decided to implement special shareholder benefits commemorating the 25th anniversary of the company's founding. Of the shareholders listed or recorded in the shareholder register as of 24/12/31, a QUO card worth 500 yen will be uniformly presented to shareholders holding 1 unit (100 shares) or more.

<6176> Brangista 761 +53

Significant continued growth. Against the backdrop of good performance that achieved record highs (sales, operating income, and ordinary profit) for 2 consecutive terms in the fiscal year ending 24/9, it was announced that strong performance is expected to continue in the future, stock buybacks will be carried out, and buybacks that were well received by this have become dominant. The upper limit of shares that can be acquired is 0.7 million shares (5.18% of the total number of issued shares excluding treasury stock), or 0.5 billion yen. The acquisition period is from 25/1/6 to 9/30. The purpose of stock buybacks is shareholder returns, improvements in capital efficiency, and implementation of flexible capital policies in response to changes in the business environment.

<4445> Ribbin T 1670 +300

The stop is high. The establishment of a new shareholder benefit system was announced after the transaction ended on the 2nd, and it is viewed as good news. The initial reference date is the end of March 25, and a QUO card worth 0.01 million 5,000 yen (0.03 million yen per year) will be presented to shareholders holding 2 units (200 shares) or more described or recorded on the shareholder register as of the end of March and the end of September every year. The purpose is to make more people continuously recognize the improved liquidity of the company's shares and their attractiveness as investment targets.

<3905> DATASEC 808 +19

backlash. After the transaction ended on the 2nd, it was announced that a basic agreement for a business alliance was concluded with Taiwan's leading IT hardware product manufacturer GIGA Computing, and although the purchase took precedence, the upper price was heavy. Utilizing the technology, products, resources, and networks of both companies, the purpose is to secure servers equipped with cutting-edge NVIDIA GPUs in the AI server field where demand is expected to expand in the future, and to collaborate in the operation of AI data centers, etc.

<4011> HEADWATER 13000 +490

Significant continued growth. After the transaction ended on the 2nd, it was announced that the generative AI service for the automobile industry with in-vehicle edge AI agents as the first step will be strengthened, and it is viewed as good news. The first enhancement is strengthening the lineup of in-vehicle edge AI agents. In-vehicle edge AI agents are autonomous intelligent systems that utilize AI on edge devices mounted on automobiles, perform data processing and decision making in real time, and perform specific tasks without human intervention, making it possible to further enhance autonomous driving technology such as obstacle detection and collision avoidance.

The translation is provided by third-party software.


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