Business headlines from the Apex backend, organized by sectors and major public companies for faster market scanning.
Ahead of a weekend Fourth of July, Walmart is promoting steep price cuts on select “expensive” electronics, part of a broader retail pattern of seasonal deal events designed to pull forward discretionary purchases.
THE APEX TIMES
THE APEX TIMES
Exxon Mobil (XOM) has fallen back toward its 200-day moving average, a benchmark technical analysts often treat as a sign of medium-term market direction.
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A market report on Alphabet highlights expanding profitability, fast-growing cloud momentum, and new commitments to scale AI infrastructure, arguing the stock could have room to rise despite mega-cap competition.
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Guggenheim analyst John DiFucci lifted his rating on Salesforce to Buy from Hold and set a $228 price target, according to a report circulated by Yahoo Finance on July 1, 2026.
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A Yahoo Finance analysis argues that Apple is weaving AI more deeply into its Creator-focused tools and broader services, aiming to reinforce a growth engine even as competition from Alphabet and Microsoft intensifies.
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Lockheed Martin shares drew an analyst upgrade to Buy from Hold, as Citi pointed to a more favorable setup following a steep recent run in the stock.
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Shares of Meta Platforms surged more than 11% on a report tied to the company’s plan to monetize unused computing capacity, a move that helped lift parts of the so-called “Magnificent Seven.” NVIDIA, a major supplier of AI chips and data center systems, fell in the same session.
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Alphabet’s inclusion in the Dow Jones Industrial Average on June 29 coincides with renewed investor attention on the way Google is navigating an “unusual AI problem,” a theme now surfacing alongside the company’s broader AI push.
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Advanced Micro Devices reported Q1 revenue of $10.25 billion, while Marvell Technology’s latest quarter reinforced how much data-center demand and AI compute are driving the semiconductor race. With both companies tying performance to AI infrastructure, investors are left weighing execution across processors, accelerators, and networking.
