HD

Prezzo Home Depot

HD
$329,06
-$3,24(-0,97%)

*Data last updated: 2026-04-28 22:08 (UTC+8)

As of 2026-04-28 22:08, Home Depot (HD) is priced at $329,06, with a total market cap of $330,97B, a P/E ratio of 26,52, and a dividend yield of 2,77%. Today, the stock price fluctuated between $327,36 and $335,92. The current price is 0,51% above the day's low and 2,04% below the day's high, with a trading volume of 3,28M. Over the past 52 weeks, HD has traded between $315,34 to $426,75, and the current price is -22,89% away from the 52-week high.

HD Key Stats

Yesterday's Close$335,89
Market Cap$330,97B
Volume3,28M
P/E Ratio26,52
Dividend Yield (TTM)2,77%
Dividend Amount$2,33
Diluted EPS (TTM)14,25
Net Income (FY)$14,15B
Revenue (FY)$164,68B
Earnings Date2026-05-19
EPS Estimate3,42
Revenue Estimate$41,60B
Shares Outstanding985,38M
Beta (1Y)1.085
Ex-Dividend Date2026-03-12
Dividend Payment Date2026-03-26

About HD

The Home Depot, Inc. operates as a home improvement retailer. It operates The Home Depot stores that sell various building materials, home improvement products, lawn and garden products, and décor products, as well as facilities maintenance, repair, and operations products The company also offers installation services for flooring, cabinets and cabinet makeovers, countertops, furnaces and central air systems, and windows. In addition, it provides tool and equipment rental services. The company primarily serves homeowners; and professional renovators/remodelers, general contractors, maintenance professionals, handymen, property managers, building service contractors, and specialty tradesmen, such as electricians, plumbers, and painters. It also sells its products through websites, including homedepot.com; blinds.com, an online site for custom window coverings; and thecompanystore.com, an online site for textiles and décor products. As of December 31, 2021, the company operated 2,317 stores in the United States. The Home Depot, Inc. was incorporated in 1978 and is based in Atlanta, Georgia.
SectorConsumer Cyclical
IndustryHome Improvement
CEOEdward Decker
HeadquartersAtlanta,GA,US
Employees (FY)472,40K
Average Revenue (1Y)$348,60K
Net Income per Employee$29,96K

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Home Depot (HD) is currently trading at $329,06, with a 24h change of -0,97%. The 52-week trading range is $315,34–$426,75.

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Home Depot (HD) Latest News

2026-03-19 08:41

Tesla AI achieves real-time video generation for self-driving training, consumer use expected in 2-3 years

Gate News, March 19th, Tesla AI has achieved the capability to generate physics-accurate, real-time video for self-driving training and testing. The technology requires approximately one H100 GPU per HD camera. Currently, the cost remains prohibitively expensive for consumer applications. Tesla anticipates that as costs decrease, the technology will become affordable for consumer use within the next two to three years.

2026-03-09 05:57

量子计算冲击加密钱包安全?研究称后量子密码学或迫使交易平台重构钱包体系

3月9日消息,随着量子计算技术不断推进,关于区块链安全体系的讨论再次升温。最新研究指出,一旦区块链网络迁移至后量子密码学体系,目前加密行业普遍采用的钱包地址生成架构可能面临失效风险,这将迫使托管机构重新设计钱包安全模型。 当前主流托管系统依赖分层确定性钱包(HD Wallet),该方案基于比特币改进提案 BIP32 构建。该机制允许运营平台利用在线服务器保存的公钥生成新的存款地址,而控制资金的私钥则始终保存在离线冷存储中。这种“公钥在线、私钥离线”的分离结构,被视为托管型加密资产安全管理的核心基础,使机构能够在不触碰私钥的情况下持续生成用户地址。 然而,后量子密码学研究机构 Project Eleven 认为,这种模式在部分抗量子签名算法下可能无法正常运作。该团队指出,美国国家标准与技术研究院(NIST)确定的后量子数字签名标准 ML-DSA 在密钥派生机制上与现有架构存在冲突。若区块链系统直接采用该类算法,传统非强化密钥派生机制可能会失效。 Project Eleven 联合创始人兼首席技术官 Conor Deegan 表示,在这种情况下,生成新的接收地址将不再仅依赖公钥,私钥必须参与每一次子密钥派生过程。这意味着托管机构在生成地址时必须调用私钥,从而打破当前冷存储与在线系统之间的安全隔离。 研究人员指出,虽然可以借助硬件安全模块、安全飞地或物理隔离设备来处理相关运算,但这会显著提高系统复杂度,并带来新的运维与安全风险。换言之,现有“热服务器管理公钥、冷服务器存储私钥”的清晰结构可能难以继续维持。 为解决这一问题,Project Eleven 已提出新的钱包架构原型,尝试在后量子环境下重新实现 BIP32 的关键功能,使系统仍能在不暴露私钥的前提下生成新公钥。该方案主要在钱包层运行,只要区块链底层支持相应签名算法即可部署。 研究团队还指出,类似结构在以太坊生态中已具备实现条件,例如通过账户抽象机制可以支持更加灵活的签名逻辑,而无需直接修改底层协议。这也使得后量子加密钱包架构在部分区块链网络上的落地路径更加清晰。

2026-02-24 11:11

TradFi上涨提醒:HD上涨超4%

Gate News bot 消息,据 Gate TradFi 最新数据,HD短时上涨 4% ,当前波动幅度明显高于近期平均水平,市场活跃度上升。

Hot Posts su Home Depot (HD)

ChainNewsAbmedia

ChainNewsAbmedia

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根據 NVIDIA 官方部落格 4 月 28 日公告(作者 Kari Briski),NVIDIA 發表 Nemotron 3 Nano Omni — 開源多模態模型,把視覺、語音與語言能力整合進單一模型,目標是為 AI agent 系統提供更低延遲、更省成本的「感知層」。 核心規格:30B-A3B MoE、256K context、9 倍吞吐量、登 6 個排行榜首位 關鍵架構: 30B-A3B hybrid mixture-of-experts(總參數 30B、活化 3B) 整合 Conv3D 與 EVS 編碼 256K context 長度 輸入:文字、影像、音訊、影片、文件、圖表、GUI 螢幕 輸出:文字 性能訊號:較其他開源 omni 模型在同等互動性下達 9 倍吞吐量;於文件智慧、影片理解、音訊理解三大類共 6 個基準排行榜取得首位(NVIDIA 公告未列出具體分數,引導讀者前往開發者部落格查看詳細資料)。 NVIDIA 把 Nemotron 3 Nano Omni 定位為 agent 系統中的「眼睛與耳朵」,可與 Nemotron 3 Super(高頻執行)、Nemotron 3 Ultra(複雜規劃)等同家族模型分工,亦可與第三方雲端模型互通。三個典型 agent 應用場景: 電腦操作代理(Computer Use Agent):原生 1920×1080 解析度視覺推理 文件智慧:跨圖、表、截圖與混合媒體輸入推理 音訊/影片理解:把講話、畫面、紀錄整合為單一推理串 採用方陣容:鴻海、Palantir 入列、H Company CEO 具名表態 NVIDIA 公告中明確區分「生產採用」與「正在評估」: 已生產採用:Aible、Applied Scientific Intelligence(ASI)、Eka Care、鴻海(Foxconn)、H Company、Palantir、Pyler 正在評估:Amdocs、Dell、Docusign、Infosys、IQVIA、Lila、Oracle、Quantiphi、TCS、Zefr 等 H Company 執行長 Gautier Cloix 在公告中具名表態:「To build useful agents, you can’t wait seconds for a model to interpret a screen. By building on Nemotron 3 Nano Omni, our agents can rapidly interpret full HD screen recordings — something that wasn’t practical before.」翻譯:「打造實用代理時,你不能等模型秒級解讀螢幕。建立在 Nemotron 3 Nano Omni 之上,我們的代理可快速解讀完整 HD 螢幕錄影 — 這在之前並不實際可行。」 開源策略與布署:weights / datasets / 訓練方法全公開 NVIDIA 在發布同時公開: 模型權重 訓練資料集 訓練技術/方法論 布署管道涵蓋三層: 本地工作站:NVIDIA DGX Spark、DGX Station NIM 微服務:build.nvidia.com 第三方平台:Hugging Face、OpenRouter,並透過 25 個以上 NVIDIA Cloud Partners、推理平台與雲端服務商提供 客製化工具則使用 NVIDIA NeMo。Nemotron 3 家族(Nano/Super/Ultra)過去一年在 Hugging Face 累積下載超過 5,000 萬次,本次 Omni 將該家族能力延伸至多模態與 agentic 領域。 這篇文章 NVIDIA 發表 Nemotron 3 Nano Omni 開源多模態 最早出現於 鏈新聞 ABMedia。
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OldLeekNewSickle

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ZKProofster

ZKProofster

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