HONG KONG KAI MING MACHINE CO., LIMITED

📓 Basic Info 基本資料

HONG KONG KAI MING MACHINE CO., LIMITED is a business entity registered in the Hong Kong Special Administrative Region of the People's Republic of China. Incorporated on 05-12-2023, it is a Private company limited by shares and its former company registration number was 3345163.

Since 27-12-2023, The Government of the Hong Kong SAR has been using Business Registration Number (BRN) as unique identifier for business entities in Hong Kong. The 8-digit business registration number for HONG KONG KAI MING MACHINE CO., LIMITED is 75982762.

The registration address of HONG KONG KAI MING MACHINE CO., LIMITED is G/F SHOP NO 9 YICK LEE MANSION, 26 KIN TAK ST YUEN LONG NT, HONG KONG. According to open business data, the registration status of this company is LIVE

香港佳明機器有限公司是一家於中華人民共和國香港特別行政區註冊的私人股份有限公司。 它成立於 05-12-2023，舊有的公司註冊號碼是 3345163。

自2023年12月27日起，香港特別行政區政府使用商業登記號碼（BRN）作為香港商業實體的唯一識別碼。香港佳明機器有限公司 的 8 位商業登記號碼是 75982762。

香港佳明機器有限公司的公司註冊地址為 G/F SHOP NO 9 YICK LEE MANSION, 26 KIN TAK ST YUEN LONG NT, HONG KONG 。根據公開資料，它的註冊狀況是 仍註冊中

📌 District of Registration Address 註冊地址分區

Yuen Long, N.T. | 新界 元朗區   

👓 Biz Profile 業務概況

Our AI model infers that HONG KONG KAI MING MACHINE CO., LIMITED has a high probability of participation in the business sector of others.

根據我們的人工智能模型推演，香港佳明機器有限公司有較高的機率從事「其他」業務。

♡ ESG Reference 「環境、社會和企業管治」參考

We have not yet received any published ESG information on HONG KONG KAI MING MACHINE CO., LIMITED.

本網站未得悉香港佳明機器有限公司已發布的「環境、社會和企業管治」資料。

💡 Other Info 其他資訊

To the best of our knowledge, HONG KONG KAI MING MACHINE CO., LIMITED is a private company limited by shares incorporated in Hong Kong on 5 December 2023. It supplies plastic injection molding machines and parts, with exports mainly to the Philippines and India....

⚠ More info on HONG KONG KAI MING MACHINE CO., LIMITED

This is not an official webpage of the aforesaid company. The above profile is compiled with data available from public domains. We cannot guarantee the accuracy or timeliness of the data.