最後更新 2024-12-22 08:58:23 (UTC+8)

基本分析

透過季節調整季營收,判斷美股整體趨勢,但注意股價有時候領先基本面的數據,應搭配其他領先指標判斷。

季營收趨勢 tooltip

季節調整季營收
季增率

2.3%


截至2024-09-30

基本資料

個股的基本資料,以及所屬的類股和產業。

公司介紹

業務介紹

以下是英文內容的繁體中文翻譯:

Celestica Inc.在北美、歐洲和亞洲提供硬件平台和供應鏈解決方案。它通過兩個業務部門運營,分別是先進技術解決方案和連接與雲端解決方案。該公司提供一系列產品製造和相關供應鏈服務,包括設計和開發、工程、供應鏈管理、新產品引入、元件採購、電子製造和組裝、測試、複雜機械組裝、系統集成、精密機加工、訂單履行、物流、資產管理、產品授權以及售後維修和退貨服務。它還提供企業級數據通信和信息處理基礎設施產品,如路由器、交換機、數據中心互連、邊緣解決方案、服務器和存儲相關產品;電容器、微處理器、電阻和存儲模塊;以及電力逆變器、能源儲存產品、智能電表和其他電子元件產品。該公司為航空航天和國防、工業、能源、健康技術、資本設備、原始設備製造商、基於雲的和其他服務提供商(包括超大規模企業)以及各行各業的其他公司提供服務。Celestica Inc.於1994年註冊成立,總部位於加拿大多倫多。



Celestica Inc. provides hardware platform and supply chain solutions in North America, Europe, and Asia. It operates through two segments, Advanced Technology Solutions, and Connectivity & Cloud Solutions. The company offers a range of product manufacturing and related supply chain services, including design and development, engineering, supply chain management, new product introduction, component sourcing, electronics manufacturing and assembly, testing, complex mechanical assembly, systems integration, precision machining, order fulfillment, logistics, asset management, product licensing, and after-market repair and return services. It also provides enterprise-level data communications and information processing infrastructure products, such as routers, switches, data center interconnects, edge solutions, servers, and storage-related products; capacitors, microprocessors, resistors, and memory modules; and power inverters, energy storage products, smart meters, and other electronic componentry products. The company serves aerospace and defense, industrial, energy, healthtech, capital equipment, original equipment manufacturers, cloud-based, and other service providers, including hyperscalers, and other companies in a range of industries. Celestica Inc. was incorporated in 1994 and is headquartered in Toronto, Canada.

所屬產業

所屬類股
Technology
所屬產業
Hardware, Equipment & Parts

警語

1. 資料僅供參考,不做任何獲利保證及特定股票與點位推薦建議。

2. 資料並不完整,需要完整資料請至相關網站索取。

3. 任何股市數據分析皆存在倖存者偏差。

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