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Nvidia\u2019s (NVDA)<\/strong> bull case just got another massive vote of confidence from Wall Street.\u00a0<\/p>\n Matt Bryson<\/strong>, a 5-star Wedbush analyst (per TipRanks), just bumped his price target on Nvidia stock to $300 <\/strong>from $230<\/strong>, maintaining an outperform<\/strong> rating, which shows even more confidence in the longevity of the AI buildout.<\/p>\n The upgrade follows a slew of analyst notes after Nvidia\u2019s bombastic earnings report, which once again highlighted the massive demand for AI computing.<\/p>\n In raising his price target, Bryson argues that the structural drivers powering Nvidia\u2019s growth in the colossal\u00a0hyperscaler capex<\/strong>,\u00a0AI model development<\/strong>, and\u00a0enterprise adoption\u00a0<\/strong>remain firmly intact.<\/p>\n For perspective, as of market closing on March 5, 2026<\/strong>, Nvidia’s stock was trading at $183.34<\/strong>, according to Yahoo Finance, with a market cap north of $4.45 trillion<\/strong>.<\/p>\n Dan Ives<\/strong> is the name that usually pops up when you think about Wedbush\u2019s tech shop, and for good reason.<\/p>\n He\u2019s the Global Head of Technology Research <\/strong>at the firm and has been one of the defining faces in the AI era.<\/p>\n However, when it comes to semiconductors and Nvidia, Matt Bryson isn\u2019t one to play second fiddle.\u00a0On Nvidia alone, he has delivered an astounding 88%<\/strong> success rate across 47 ratings<\/strong>.\u00a0<\/p>\n I covered Nvidia in a Goldman Sachs post-earnings note on March 2<\/strong>, when the stock was trading at $182.48<\/strong>. From that level, the stock has gained roughly 0.5%<\/strong>, or $0.86<\/strong>, to reach $183.34<\/strong>.\u00a0<\/p>\n It wasn\u2019t about a flashy price-target hike, but was perhaps something more important with the bank bumping its earnings estimates<\/strong> following another blowout quarterly showing.<\/p>\n Like Bryson, the bank\u2019s analysts feel that Nvidia\u2019s robust data center strength, incredible guidance, and growing visibility into hyperscaler and AI spending set up a stronger earnings path ahead.<\/p>\n For Wedbush, that improving demand backdrop backs up the firm\u2019s lofty valuation outlook, while reinforcing Nvidia\u2019s position as a critical enabler of the AI economy.\u00a0<\/p>\n Bryson\u2019s bullishness on Nvidia reflects a broader conviction that the AI infrastructure cycle still has plenty of runway left.\u00a0<\/p>\n The core thesis is that Nvidia still remains the clearest beneficiary of the ongoing surge in accelerated computing demand.<\/p>\n More Nvidia:<\/strong><\/p>\n Nvidia\u2019s incredible dominance in data-center computing<\/strong> is a big part of it, becoming the company\u2019s potent economic engine.\u00a0<\/p>\n The segment generated nearly $62.3 billion in sales <\/strong>in the most recent quarter, which accounts for the majority of Nvidia\u2019s total revenues. That growth was spearheaded by the big hyperscalers and enterprises racing to develop large-scale AI clusters.<\/p>\n Wedbush argues that this tremendous cycle is still in its early stages.\u00a0Spending from the top cloud providers continues to rise at a relentless pace, while a new class of AI-native customers emerges that includes model developers and sovereign AI initiatives.<\/p>\n In cashing in on that demand, Nvidia boasts the platform advantage<\/strong>.\u00a0<\/p>\n The powerful combination of GPUs, software ecosystems, networking hardware, and integrated systems makes it virtually impossible for its competition, reinforcing its leadership in AI-powered computing.<\/p>\n On top of that, the firm sees stronger visibility into future demand.\u00a0<\/p>\n Nvidia\u2019s latest quarterly results showed an eye-popping $68.1 billion in quarterly sales<\/strong>, up roughly 73% year over year<\/strong>, underscoring the immense scale of the AI spending wave.\u00a0<\/p>\n Related: Veteran analyst drops eye-popping price target on Palantir stock<\/strong><\/p>\n For some color on that unrelenting wave, Broadcom dished out its quarterly results as well, where sales more than doubled to $8.4 billion<\/strong>, while guiding AI chip sales higher for the upcoming quarter. <\/p>\n Also, Broadcom views AI chip sales exceeding a gobsmacking $100 billion<\/strong> on the way to 2027<\/strong>, Reuters reported.<\/p>\n Nvidia is therefore the critical supplier behind the global AI buildout, a dynamic that should continue to support more ongoing revisions in long-term expectations.<\/p>\n Nvidia sits firmly at the heart of the AI infrastructure buildout, but investors continue circling a handful of risks that muddle its compelling bull case.<\/p>\n Perhaps the most obvious overhang on the tech giant remains China<\/strong>.\u00a0<\/p>\n Nvidia has apparently been pushed out of the country\u2019s robust data-center compute market due to U.S. export restrictions.\u00a0<\/p>\n In its latest earnings call, the company\u2019s CFO Collette Kress weighed in.<\/p>\n That\u2019s a dramatic shift from a couple of years ago, when the region represented a massive growth engine.\u00a0\u00a0<\/p>\n According to Nvidia\u2019s filings, China (including Hong Kong) generated a massive $19.7 billion, <\/strong>or about 9.1% of revenue <\/strong>in fiscal 2026<\/strong>, down substantially from 19% <\/strong>in fiscal 2025<\/strong> and about 20% <\/strong>in fiscal 2024<\/strong>.<\/p>\n Having said that, the policy environment is fluid.<\/p>\n Nvidia revealed it was only allowed to ship a minuscule number of chips under license, and even those shipments face a ton of uncertainty.\u00a0<\/p>\n It\u2019s worth noting that at one point, it took a massive\u00a0$4.5 billion charge<\/strong>\u00a0linked to H20 inventory and purchase commitments on the back of changes in export rules.<\/p>\n On a broader scale, Nvidia’s leaving the Chinese market opens the door for local competitors I\u2019ve covered in the past, like Moore Threads and others, to build powerful ecosystems that could challenge its dominance over time.<\/p>\n Moreover, the relentless AI spending cycle <\/strong>itself could be a major headwind.<\/p>\n The bull case shows that hyperscalers continue pouring capital into AI data centers, but there\u2019s always a potential digestion period for investors and customers to consider.<\/p>\n Competition remains another focal issue.<\/p>\n The biggest in tech continue to develop\u00a0custom AI accelerators<\/strong>, while rivals like AMD are pushing for alternatives.Supply constraints, including\u00a0HBM memory\u00a0<\/strong>and\u00a0advanced packaging,<\/strong>\u00a0also create bottlenecks.<\/p>\n Related: Amazon\u2019s AWS shocker overseas sends a warning to U.S. investors<\/strong><\/p>\n #5star #analyst #revamps #Nvidia #stock #price #target<\/p>\n","protected":false},"excerpt":{"rendered":" Nvidia\u2019s (NVDA) bull case just got another massive vote of confidence from Wall Street.\u00a0 Matt…<\/p>\n","protected":false},"author":1,"featured_media":651,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[259],"tags":[332,333,335,100,334,91,336],"_links":{"self":[{"href":"https:\/\/stock999.top\/index.php?rest_route=\/wp\/v2\/posts\/650"}],"collection":[{"href":"https:\/\/stock999.top\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/stock999.top\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/stock999.top\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/stock999.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=650"}],"version-history":[{"count":0,"href":"https:\/\/stock999.top\/index.php?rest_route=\/wp\/v2\/posts\/650\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/stock999.top\/index.php?rest_route=\/wp\/v2\/media\/651"}],"wp:attachment":[{"href":"https:\/\/stock999.top\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=650"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/stock999.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=650"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/stock999.top\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=650"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Wall Street price targets for Nvidia stock<\/strong><\/h3>\n
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\nSources: Investing, MarketBeat\n<\/li>\n<\/ul>\nWedbush doubles down on Nvidia\u2019s AI leadership<\/strong><\/h2>\n
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Nvidia stock returns vs. the Roundhill Magnificent Seven ETF (MAGS) (proxy for Magnificent 7)<\/strong><\/h3>\n
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\nSource: Seeking Alpha\n<\/li>\n<\/ul>\nRisks to Nvidia\u2019s bullish thesis<\/strong><\/h2>\n