Nvidia Stock: It's Time To Take Profits?

Seeking Alpha06-12

Nvidia Corporation is likely approaching peak earnings and revenue due to fall back to earth, has had a spectacular run in the past 18 months. While we are several quarters away from peak earnings, we...

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Remotecam
·06-12
Is this the same joker linking Cisco and NVDIA from 2 years ago? That time NVDIA was "only" 280 a share. Looks like he's still harping the same shxxx story.
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While we are several quarters away from peak earnings, we...</p>\n\n<a href=\"https://seekingalpha.com/article/4698590-nvidia-stock-its-time-to-take-profits\">Source Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","isBrief":false,"type":0,"news_type":1,"symbol":"LU1861215975.USD","symbol_name":"贝莱德新一代科技基金 A2","start_time":0,"source_url":"https://seekingalpha.com/article/4698590-nvidia-stock-its-time-to-take-profits","article_id":"2442231132","we_media_id":null,"thumbnails":[],"rights":null,"url":"https://stock-news.laohu8.com/highlight/detail?id=2442231132","pubTimestamp":1718172000,"sourceInfo":{"source_id":"seekingalpha","name":"Seeking Alpha"},"weMediaInfo":null,"summary":"Nvidia Corporation is likely approaching peak earnings and revenue due to fall back to earth, has had a spectacular run in the past 18 months. 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While we are several quarters away from peak earnings, we may be at the peak for the stock price.Nvidia today reminds me of Cisco Systems stock in 2000, where the share price peaked many quarters before sequential revenue growth stopped.Much of Nvidia's current sales are to Cloud Providers and other resellers, and not to end users.I think the AI trend is a mix of hype and real potential, and that the real potential is more than priced in at this point.I believe the stock split is a \"sell the news\" type of event, and investors overweight in Nvidia should consider taking profits here.Sundry PhotographyIn my last article in this space on March 15th, I recommended that investors sell Super Micro Computer (SMCI) and buy Nvidia Corporation (NASDAQ:NVDA) for those bullish on the AI investment theme. At the time, SMCI was trading at a higher multiple than NVDA, something that was rare historically. I did not believe SMCI deserved a higher multiple because NVDA has a far deeper moat. That call worked out well, and anyone who sold $1000 worth of SMCI at the time now has $1376 of NVDA instead of $720 worth of SMCI (nearly a double.)Data by YChartsHere's my next call: you should take profits on NVDA right now. I think the current situation has all the hallmarks of a blow-off top, and I think shares could trade down 25% over the next month (which would bring us all the way back from a valuation of 3 weeks ago) and more by year-end.I think this current rally is being driven primarily by the 10:1 stock split, rather than fundamentals, and this week could turn into a \"sell the news\" event.History doesn't repeat, but it often rhymesThe year is 2000, the Internet is going to change the world, and Cisco (CSCO) is the quintessential \"picks and shovels\" play with a deep technological moat.Data by YChartsPassing Microsoft in net worth on March 28th, 2000, after tripling over the past year to a valuation of over $500 billion, with predictions of it becoming the first trillion-dollar company.Data by YChartsNow replace all of the above with Nvidia today but with an additional trailing zero on the valuation target. Tripled in under a year, check. Wildly bullish targets, check. A non-recurring hardware business model prone to boom/bust cycles, check.There are absolutely differences. Cisco traded at nearly a 200x P/E at its peak, versus 45x for Nvidia now. But Cisco grew revenue steadily over a long period, rather than having an incredible 4 quarter parabolic ramp like Nvidia has had.Data by YChartsCisco actually kept growing well for the next 5 years after the peak, but once the hyper growth period ended and more competition emerged, Cisco's P/E declined from its 200x peak to below 20 by 2005.Data by YChartsI believe something similar could happen here, with Nvidia Data Center revenue peaking and then declining into a steady state far below current levels.Nvidia Revenue Durability and ValuationNvidia is now trading at 45x 2025 EPS, compared to tech peers Microsoft (MSFT) at 35x, Apple (AAPL) at 30x, and Google (GOOG) at 23x. Is this justified by Nvidia's growth? That's the bull case, although Nvidia has the least predictable revenue of the major technology players in my view.Nvidia has a history of changing revenue direction rapidly, like in 2022 when the crypto bubble went into reverse, and Nvidia saw revenue decline 29% in just 2 quarters. (Nvidia's FY23=CY22.)NVidia Revenue Trends 2021-2023 (NVidia Investor Relations)Now look at the last 12 months of revenue data for Nvidia, with Data Center revenue being up 6x. A few things I think when I look at this data.NVidia Revenue Trends 2023-Current (NVidia Investor Relations)ChatGPT was released to the public on November 30th, 2022. AI has been a thing for a while, but a publicly released product spurred a ton of interest in it. \"AI Leaders\" are given premium valuations. Who wouldn't be investing in AI here?The Q1-25 print for NVDA and Q2-25 guide was largely in line with most expectations. In fact, the stock was flat/up 1-2% for a while after the earnings were released. I believe most of the 33% post-earnings run was due to the stock split and not the earnings themselves.The decrease in Gaming and Professional Visualization revenue. Do not let the titles fool you, the GeForce Gaming cards and Quadro Professional Visualization cards are used for a lot more than gaming and rendering. There is a lot of AI work/execution that gets done on these cards, although memory limitations prevent training on massive data sets. The cloud GPU providers even sell time on the more expensive Quadro cards. While it's only a single data point, I believe stagnation or declines in these cards may provide an early read on true end user demand, versus the larger Tech companies building out AI Cloud capacity in hopes to resell it later.I think investors who are taking the recent revenue trends and extrapolating many years into the future are making a mistake.Reseller DemandNvidia's largest customers are driving the majority of the Data Center revenue. Amazon, Meta, Microsoft and Alphabet are estimated to account for 40% of Nvidia's revenue. There is also a significant number of sales from newer resellers like CoreWeave, Lambda Labs, and others. This demand isn't (primarily) for their own use, but to resell to other companies.Currently, the cloud providers are overbuilding capacity, and for good reason. To carry the premium pricing over the smaller players, they need to guarantee availability of GPU resources when a customer wants it, so this is a bit of a land grab for the cloud providers. But this overbuilding will not last forever.These companies are also developing their own hardware platforms, and while initially targeted to handle internal workloads, eventually these will be resold to other cost-conscious customers. Nvidia's margins are just too great right now to be maintained for more than a few years, in my opinion, and large customers will adapt their code to ASIC's or other specialized products like Google TPU's for savings. Nvidia has a moat with CUDA, its proprietary API, but this moat is far from impregnable. It just becomes a math problem eventually: pay the premium from Nvidia GPU processing, or port the code to another platform.Even before this, any macroeconomic pullback or a shift in investor sentiment around spending money on AI without tangible results, and we will see companies \"right sizing\" their AI investments and conserving cash.Data Center revenue moving from $4.3 billion to $22.5 billion in 4 quarters is simply too much too fast, and it could go in reverse quickly as well.My Views on AII've mentioned this in articles occasionally, but my day job is in technology, not finance. Specifically, I've worked with Machine Learning and Deep Learning/AI projects within the medical industry for a very long time, which colors a lot of my thinking on the topic.AI has been a big topic in medicine for a while now, and GPU's are certainly driving innovation there. But results have been a very mixed bag, and there are very real, practical challenges in getting AI to actually produce something useful.IBM's (IBM) much heralded and hyped Watson AI super project has been a disappointment and has quietly been shut down over the past few years before being sold off, after failing in many real-world implementations.Another excellent example of the challenges in real-world AI can be seen in publicly traded AI pure-play iCAD (ICAD). iCAD makes a product, ProfoundAI, that uses AI on mammograms to help Radiologists detect Breast Cancer. Using AI to locate breast cancer is a hugely attractive application:Large screening populationMany images to look at (especially with Tomosynthesis/3D Mammography)Single organBinary question to answer (breast cancer present: Yes/No.)Yet, while it is a clear improvement over past machine learning-based techniques, it still struggles to outperform radiologists. At its core, the problem is one of data: it's only going to be as good as the \"ground truth\" data set, which generally means that anything a human missed, AI will miss, since it wasn't \"trained\" on it.This data limitation is what I see with services like ChatGPT and Google Gemini. I've found these services good at summarizing data I give them, but nearly useless for asking questions, as it often gives very confident yet wrong answers, and that's before considering any ideological filters/biases present.Nvidia 2024 versus Cisco 2000Of course, we know Nvidia will report higher sales and income for the next few quarters, probably the next 3-4 at least. That doesn't mean the stock will be higher. Let's see what happened with Cisco in 2000, which to me feels very much like Nvidia today.Data by YChartsCisco shares peaked in March 2000.Cisco May 2000 earnings, revenue rose 53%, net income up 42%.Cisco August 2000 earnings, revenue rose 61%, net income up 69%year over year.Cisco November 2000 earnings, revenue rose 66%, net income rose 67%. It looks like earnings are still accelerating here!Cisco's first true \"miss\" didn't happen until February 2001, with net income still up 50% year over year. Revenue missed and Guidance was poor (only predicting 40% growth, versus the 55% the street was expecting.)By the time the actual miss came, shares had already been cut in half, and then got cut in half again. Cisco started from a far higher multiple, near 200x at its peak; so I'm not predicting Nvidia declines 75%. But I absolutely think that we could see Nvidia peak revenue in 3–4 quarters, and decline in quarters beyond that, and that shares could be 50% lower from here if that happens.ConclusionAI is hot right now, undoubtedly. Other than Nvidia and other companies selling the hardware and cloud services, I have a tough time finding companies that are really winning through AI, especially those that have been investing in it before the recent hype.Lemonade (LMND) the AI-powered insurance company is still down 90% from its 2021 high and still losing money. There is no evidence that AI is doing anything positive for them.Meta said it would \"expect to see a multi-year investment cycle before we fully scaled Meta AI, business AIs and more into the profitable services\"Previously mentioned medical companies, including IBM's failures in this space.Ultimately, I think companies are overinvesting in AI right now largely because they believe that will drive their stock prices and because that's what their competitors are doing. Any company that outright said, \"we believe AI is a lot of hype, and we're choosing to invest in other things\" would likely see their share price punished.I still do not see enough AI-enabled products that are truly transformative to believe this level of investment is sustainable, and believe we are just a few quarters away from this topping. In short, I just do not believe Nvidia's sales and margins at these levels are sustainable.I think there is an excellent chance that this week marks the peak for Nvidia, and now is a good time to take some profits.Editor's Note: This article covers one or more microcap stocks. Please be aware of the risks associated with these stocks.","kind":"highlight","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"symbols":[],"gpt_button":0},"commentList":[{"id":316049400062264,"gmtCreate":1718177354174,"gmtModify":1718177863270,"author":{"id":"4093854476996450","authorId":"4093854476996450","name":"Remotecam","avatar":"https://community-static.tradeup.com/news/f856a0a30bd0fa23a086fc678014e48b","vip":1,"crmLevel":6,"crmLevelSwitch":1,"idStr":"4093854476996450","authorIdStr":"4093854476996450"},"htmlText":"Is this the same joker linking Cisco and NVDIA from 2 years ago? That time NVDIA was \"only\" 280 a share.&nbsp; Looks like he's still harping the same shxxx story.&nbsp;","listText":"Is this the same joker linking Cisco and NVDIA from 2 years ago? That time NVDIA was \"only\" 280 a share.&nbsp; Looks like he's still harping the same shxxx story.&nbsp;","text":"Is this the same joker linking Cisco and NVDIA from 2 years ago? That time NVDIA was \"only\" 280 a share. Looks like he's still harping the same shxxx story.","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/316049400062264","repostId":2442231132,"repostType":4,"repost":{"id":"2442231132","kind":"highlight","pubTimestamp":1718172000,"share":"https://ttm.financial/m/news/2442231132?lang=&edition=fundamental","pubTime":"2024-06-12 14:00","market":"us","language":"en","title":"Nvidia Stock: It's Time To Take Profits?","url":"https://stock-news.laohu8.com/highlight/detail?id=2442231132","media":"Seeking Alpha","summary":"Nvidia Corporation is likely approaching peak earnings and revenue due to fall back to earth, has had a spectacular run in the past 18 months. While we are several quarters away from peak earnings, we","content":"<html><head></head><body><ul style=\"\"><li><p>Nvidia Corporation is likely approaching peak earnings and revenue due to fall back to earth, has had a spectacular run in the past 18 months. While we are several quarters away from peak earnings, we may be at the peak for the stock price.</p></li><li><p>Nvidia today reminds me of Cisco Systems stock in 2000, where the share price peaked many quarters before sequential revenue growth stopped.</p></li><li><p>Much of Nvidia&#39;s current sales are to Cloud Providers and other resellers, and not to end users.</p></li><li><p>I think the AI trend is a mix of hype and real potential, and that the real potential is more than priced in at this point.</p></li><li><p>I believe the stock split is a &#34;sell the news&#34; type of event, and investors overweight in Nvidia should consider taking profits here.</p></li></ul><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/b05ea170915bb81520503e91dcf0e792\" alt=\"Sundry Photography\" title=\"Sundry Photography\" tg-width=\"750\" tg-height=\"500\"/><span>Sundry Photography</span></p><p>In my last article in this space on March 15th, I recommended that investors sell Super Micro Computer (SMCI) and buy <strong>Nvidia Corporation</strong> (NASDAQ:NVDA) for those bullish on the AI investment theme. At the time, SMCI was trading at a higher multiple than NVDA, something that was rare historically. I did not believe SMCI deserved a higher multiple because NVDA has a far deeper moat. That call worked out well, and anyone who sold $1000 worth of SMCI at the time now has $1376 of NVDA instead of $720 worth of SMCI (nearly a double.)</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/be55247548f1e9b938fbc0b49093da89\" alt=\"Data by YCharts\" title=\"Data by YCharts\" tg-width=\"635\" tg-height=\"439\"/><span>Data by YCharts</span></p><p>Here&#39;s my next call: you should take profits on NVDA right now. I think the current situation has all the hallmarks of a blow-off top, and I think shares could trade down 25% over the next month (which would bring us all the way back from a valuation of 3 weeks ago) and more by year-end.</p><p>I think this current rally is being driven primarily by the 10:1 stock split, rather than fundamentals, and this week could turn into a &#34;sell the news&#34; event.</p><h2 id=\"id_2390781586\">History doesn&#39;t repeat, but it often rhymes</h2><p>The year is 2000, the Internet is going to change the world, and Cisco (CSCO) is the quintessential &#34;picks and shovels&#34; play with a deep technological moat.</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/cbdcd9da15e884743b9a722b2a22e1e1\" alt=\"Data by YCharts\" title=\"Data by YCharts\" tg-width=\"635\" tg-height=\"424\"/><span>Data by YCharts</span></p><p>Passing Microsoft in net worth on March 28th, 2000, after tripling over the past year to a valuation of over $500 billion, with predictions of it becoming the first trillion-dollar company.</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/57dedd393cfb03da59708b5adc387cd7\" alt=\"Data by YCharts\" title=\"Data by YCharts\" tg-width=\"635\" tg-height=\"424\"/><span>Data by YCharts</span></p><p>Now replace all of the above with Nvidia today but with an additional trailing zero on the valuation target. Tripled in under a year, check. Wildly bullish targets, check. A non-recurring hardware business model prone to boom/bust cycles, check.</p><p>There are absolutely differences. Cisco traded at nearly a 200x P/E at its peak, versus 45x for Nvidia now. But Cisco grew revenue steadily over a long period, rather than having an incredible 4 quarter parabolic ramp like Nvidia has had.</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/e00e7230c3df01d226a11110e83f8696\" alt=\"Data by YCharts\" title=\"Data by YCharts\" tg-width=\"635\" tg-height=\"439\"/><span>Data by YCharts</span></p><p>Cisco actually kept growing well for the next 5 years after the peak, but once the hyper growth period ended and more competition emerged, Cisco&#39;s P/E declined from its 200x peak to below 20 by 2005.</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/da42f5345daacfe7fd95be79c6e9b32b\" alt=\"Data by YCharts\" title=\"Data by YCharts\" tg-width=\"635\" tg-height=\"473\"/><span>Data by YCharts</span></p><p>I believe something similar could happen here, with Nvidia Data Center revenue peaking and then declining into a steady state far below current levels.</p><h2 id=\"id_3240303165\">Nvidia Revenue Durability and Valuation</h2><p>Nvidia is now trading at 45x 2025 EPS, compared to tech peers Microsoft (MSFT) at 35x, Apple (AAPL) at 30x, and Google (GOOG) at 23x. Is this justified by Nvidia&#39;s growth? That&#39;s the bull case, although Nvidia has the least predictable revenue of the major technology players in my view.</p><p>Nvidia has a history of changing revenue direction rapidly, like in 2022 when the crypto bubble went into reverse, and Nvidia saw revenue decline 29% in just 2 quarters. (Nvidia&#39;s FY23=CY22.)</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/4211c80459d3fcea4da817de39cc6b65\" alt=\"NVidia Revenue Trends 2021-2023 (NVidia Investor Relations)\" title=\"NVidia Revenue Trends 2021-2023 (NVidia Investor Relations)\" tg-width=\"640\" tg-height=\"305\"/><span>NVidia Revenue Trends 2021-2023 (NVidia Investor Relations)</span></p><p>Now look at the last 12 months of revenue data for Nvidia, with Data Center revenue being up 6x. A few things I think when I look at this data.</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/ef3943265e659d3a0d5db5f38d890c2b\" alt=\"NVidia Revenue Trends 2023-Current (NVidia Investor Relations)\" title=\"NVidia Revenue Trends 2023-Current (NVidia Investor Relations)\" tg-width=\"640\" tg-height=\"332\"/><span>NVidia Revenue Trends 2023-Current (NVidia Investor Relations)</span></p><ul style=\"\"><li><p>ChatGPT was released to the public on November 30th, 2022. AI has been a thing for a while, but a publicly released product spurred a ton of interest in it. &#34;AI Leaders&#34; are given premium valuations. Who wouldn&#39;t be investing in AI here?</p></li><li><p>The Q1-25 print for NVDA and Q2-25 guide was largely in line with most expectations. In fact, the stock was flat/up 1-2% for a while after the earnings were released. I believe most of the 33% post-earnings run was due to the stock split and not the earnings themselves.</p></li><li><p>The decrease in Gaming and Professional Visualization revenue. Do not let the titles fool you, the GeForce Gaming cards and Quadro Professional Visualization cards are used for a lot more than gaming and rendering. There is a lot of AI work/execution that gets done on these cards, although memory limitations prevent training on massive data sets. The cloud GPU providers even sell time on the more expensive Quadro cards. While it&#39;s only a single data point, I believe stagnation or declines in these cards may provide an early read on true end user demand, versus the larger Tech companies building out AI Cloud capacity in hopes to resell it later.</p></li></ul><p>I think investors who are taking the recent revenue trends and extrapolating many years into the future are making a mistake.</p><h2 id=\"id_3971535173\">Reseller Demand</h2><p>Nvidia&#39;s largest customers are driving the majority of the Data Center revenue. Amazon, Meta, Microsoft and Alphabet are estimated to account for 40% of Nvidia&#39;s revenue. There is also a significant number of sales from newer resellers like CoreWeave, Lambda Labs, and others. This demand isn&#39;t (primarily) for their own use, but to resell to other companies.</p><p>Currently, the cloud providers are overbuilding capacity, and for good reason. To carry the premium pricing over the smaller players, they need to guarantee availability of GPU resources when a customer wants it, so this is a bit of a land grab for the cloud providers. But this overbuilding will not last forever.</p><p>These companies are also developing their own hardware platforms, and while initially targeted to handle internal workloads, eventually these will be resold to other cost-conscious customers. Nvidia&#39;s margins are just too great right now to be maintained for more than a few years, in my opinion, and large customers will adapt their code to ASIC&#39;s or other specialized products like Google TPU&#39;s for savings. Nvidia has a moat with CUDA, its proprietary API, but this moat is far from impregnable. It just becomes a math problem eventually: pay the premium from Nvidia GPU processing, or port the code to another platform.</p><p>Even before this, any macroeconomic pullback or a shift in investor sentiment around spending money on AI without tangible results, and we will see companies &#34;right sizing&#34; their AI investments and conserving cash.</p><p>Data Center revenue moving from $4.3 billion to $22.5 billion in 4 quarters is simply too much too fast, and it could go in reverse quickly as well.</p><h2 id=\"id_1833722497\">My Views on AI</h2><p>I&#39;ve mentioned this in articles occasionally, but my day job is in technology, not finance. Specifically, I&#39;ve worked with Machine Learning and Deep Learning/AI projects within the medical industry for a very long time, which colors a lot of my thinking on the topic.</p><p>AI has been a big topic in medicine for a while now, and GPU&#39;s are certainly driving innovation there. But results have been a very mixed bag, and there are very real, practical challenges in getting AI to <em>actually produce something useful</em>.</p><p><a href=\"https://laohu8.com/S/IBM\">IBM</a>&#39;s (IBM) much heralded and hyped Watson AI super project has been a disappointment and has quietly been shut down over the past few years before being sold off, after failing in many real-world implementations.</p><p>Another excellent example of the challenges in real-world AI can be seen in publicly traded AI pure-play iCAD (ICAD). iCAD makes a product, ProfoundAI, that uses AI on mammograms to help Radiologists detect Breast Cancer. Using AI to locate breast cancer is a hugely attractive application:</p><ul style=\"\"><li><p>Large screening population</p></li><li><p>Many images to look at (especially with Tomosynthesis/3D Mammography)</p></li><li><p>Single organ</p></li><li><p>Binary question to answer (breast cancer present: Yes/No.)</p></li></ul><p>Yet, while it is a clear improvement over past machine learning-based techniques, it still struggles to outperform radiologists. At its core, the problem is one of data: it&#39;s only going to be as good as the &#34;ground truth&#34; data set, which generally means that anything a human missed, AI will miss, since it wasn&#39;t &#34;trained&#34; on it.</p><p>This data limitation is what I see with services like ChatGPT and Google Gemini. I&#39;ve found these services good at summarizing data I give them, but nearly useless for asking questions, as it often gives very confident yet wrong answers, and that&#39;s before considering any ideological filters/biases present.</p><h2 id=\"id_1848527839\">Nvidia 2024 versus Cisco 2000</h2><p>Of course, we know Nvidia will report higher sales and income for the next few quarters, probably the next 3-4 at least. That doesn&#39;t mean the stock will be higher. Let&#39;s see what happened with Cisco in 2000, which to me feels very much like Nvidia today.</p><p class=\"t-img-caption\"><img src=\"https://community-static.tradeup.com/news/c699b6d0b7f588575ee4f94295d5773f\" alt=\"Data by YCharts\" title=\"Data by YCharts\" tg-width=\"635\" tg-height=\"424\"/><span>Data by YCharts</span></p><ul style=\"\"><li><p>Cisco shares peaked in March 2000.</p></li><li><p>Cisco May 2000 earnings, revenue rose 53%, net income up 42%.</p></li><li><p>Cisco August 2000 earnings, revenue rose 61%, net income up 69%year over year.</p></li><li><p>Cisco November 2000 earnings, revenue rose 66%, net income rose 67%. It looks like earnings are still accelerating here!</p></li><li><p>Cisco&#39;s first true &#34;miss&#34; didn&#39;t happen until February 2001, with net income still up 50% year over year. Revenue missed and Guidance was poor (only predicting 40% growth, versus the 55% the street was expecting.)</p></li></ul><p>By the time the actual miss came, shares had already been cut in half, and then got cut in half again. Cisco started from a far higher multiple, near 200x at its peak; so I&#39;m not predicting Nvidia declines 75%. But I absolutely think that we could see Nvidia peak revenue in 3–4 quarters, and decline in quarters beyond that, and that shares could be 50% lower from here if that happens.</p><h2 id=\"id_2931481435\">Conclusion</h2><p>AI is hot right now, undoubtedly. Other than Nvidia and other companies selling the hardware and cloud services, I have a tough time finding companies that are really winning through AI, especially those that have been investing in it before the recent hype.</p><ul style=\"\"><li><p>Lemonade (LMND) the AI-powered insurance company is still down 90% from its 2021 high and still losing money. There is no evidence that AI is doing anything positive for them.</p></li><li><p>Meta said it would &#34;expect to see a multi-year investment cycle before we fully scaled Meta AI, business AIs and more into the profitable services&#34;</p></li><li><p>Previously mentioned medical companies, including IBM&#39;s failures in this space.</p></li></ul><p>Ultimately, I think companies are overinvesting in AI right now largely because they believe that will drive their stock prices and because that&#39;s what their competitors are doing. Any company that outright said, &#34;we believe AI is a lot of hype, and we&#39;re choosing to invest in other things&#34; would likely see their share price punished.</p><p>I still do not see enough AI-enabled products that are truly transformative to believe this level of investment is sustainable, and believe we are just a few quarters away from this topping. In short, I just do not believe Nvidia&#39;s sales and margins at these levels are sustainable.</p><p>I think there is an excellent chance that this week marks the peak for Nvidia, and now is a good time to take some profits.</p><p>Editor&#39;s Note: This article covers one or more microcap stocks. Please be aware of the risks associated with these stocks.</p></body></html>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Nvidia Stock: It's Time To Take Profits?</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nNvidia Stock: It's Time To Take Profits?\n</h2>\n\n<h4 class=\"meta\">\n\n\n2024-06-12 14:00 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/article/4698590-nvidia-stock-its-time-to-take-profits><strong>Seeking Alpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Nvidia Corporation is likely approaching peak earnings and revenue due to fall back to earth, has had a spectacular run in the past 18 months. While we are several quarters away from peak earnings, we...</p>\n\n<a href=\"https://seekingalpha.com/article/4698590-nvidia-stock-its-time-to-take-profits\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"LU1861215975.USD":"贝莱德新一代科技基金 A2","LU0316494557.USD":"FRANKLIN GLOBAL FUNDAMENTAL STRATEGIES \"A\" ACC","BK4585":"ETF&股票定投概念","LU0786609619.USD":"高盛全球千禧一代股票组合Acc","LU1861220033.SGD":"Blackrock Next Generation Technology A2 SGD-H","BK4587":"ChatGPT概念","LU1585245621.USD":"EASTSPRING INV GLOBAL LOW VOLATILITY EQUITY FUND \"A\" (USD) ACC B","LU0289941410.SGD":"AB FCP I Dynamic Diversified AX SGD","IE00BLSP4452.SGD":"Legg Mason ClearBridge - Tactical Dividend Income A Mdis SGD-H Plus","BK4077":"互动媒体与服务","BK4020":"通信设备","IE00BD6J9T35.USD":"NEUBERGER BERMAN NEXT GENERATION MOBILITY \"A\" (USD) ACC","BK4561":"索罗斯持仓","LU0170899867.USD":"EASTSPRING INVESTMENTS WORLD VALUE EQUITY  \"A\" (USD) ACC","LU0234570918.USD":"高盛全球核心股票组合Acc Close","BK4588":"碎股","LU0238689110.USD":"贝莱德环球动力股票基金","LU1059921491.USD":"NORDEA 1 GLOBAL STABLE EQUITY \"HB\" (USDHDG) ACC","LU0072462426.USD":"贝莱德全球配置 A2","LU0642271901.SGD":"Janus Henderson Horizon Global Technology Leaders A2 SGD-H","BK4574":"无人驾驶","LU0080751232.USD":"富达环球多元动力基金A","IE00BJJMRY28.SGD":"Janus Henderson Balanced A Inc SGD","LU0308772762.SGD":"Blackrock Global Allocation A2 SGD-H","IE00BSNM7G36.USD":"NEUBERGER BERMAN SYSTEMATIC GLOBAL SUSTAINABLE VALUE \"A\" (USD) ACC","BK4514":"搜索引擎","LU0056508442.USD":"贝莱德世界科技基金A2","LU0128525689.USD":"TEMPLETON GLOBAL BALANCED \"A\"(USD) ACC","LU0234572021.USD":"高盛美国核心股票组合Acc","SG9999002232.USD":"Allianz Global High Payout USD","SG9999002224.SGD":"Allianz Global High Payout SGD","NVDA":"英伟达","BK4543":"AI","LU1489326972.SGD":"First Eagle Amundi International AHS-MD SGD-H","IE00BWXC8680.SGD":"PINEBRIDGE US LARGE CAP RESEARCH ENHANCED \"A5\" (SGD) ACC","LU1430594728.SGD":"Eastspring Investments - Global Low Volatility Equity AS SGD","LU1814569148.SGD":"WELLINGTON GLOBAL QUALITY GROWTH \"D\" (SGDHDG) ACC","BK4592":"伊斯兰概念","LU0158827948.USD":"ALLIANZ GLOBAL SUSTAINABILITY \"A\" (USD) INC","LU0861579265.USD":"联博低波幅策略股票基金A","LU0965509283.SGD":"AB LOW VOLATILITY EQUITY PORTFOLIO \"AD\" (SGDHDG) INC"},"source_url":"https://seekingalpha.com/article/4698590-nvidia-stock-its-time-to-take-profits","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"2442231132","content_text":"Nvidia Corporation is likely approaching peak earnings and revenue due to fall back to earth, has had a spectacular run in the past 18 months. While we are several quarters away from peak earnings, we may be at the peak for the stock price.Nvidia today reminds me of Cisco Systems stock in 2000, where the share price peaked many quarters before sequential revenue growth stopped.Much of Nvidia's current sales are to Cloud Providers and other resellers, and not to end users.I think the AI trend is a mix of hype and real potential, and that the real potential is more than priced in at this point.I believe the stock split is a \"sell the news\" type of event, and investors overweight in Nvidia should consider taking profits here.Sundry PhotographyIn my last article in this space on March 15th, I recommended that investors sell Super Micro Computer (SMCI) and buy Nvidia Corporation (NASDAQ:NVDA) for those bullish on the AI investment theme. At the time, SMCI was trading at a higher multiple than NVDA, something that was rare historically. I did not believe SMCI deserved a higher multiple because NVDA has a far deeper moat. That call worked out well, and anyone who sold $1000 worth of SMCI at the time now has $1376 of NVDA instead of $720 worth of SMCI (nearly a double.)Data by YChartsHere's my next call: you should take profits on NVDA right now. I think the current situation has all the hallmarks of a blow-off top, and I think shares could trade down 25% over the next month (which would bring us all the way back from a valuation of 3 weeks ago) and more by year-end.I think this current rally is being driven primarily by the 10:1 stock split, rather than fundamentals, and this week could turn into a \"sell the news\" event.History doesn't repeat, but it often rhymesThe year is 2000, the Internet is going to change the world, and Cisco (CSCO) is the quintessential \"picks and shovels\" play with a deep technological moat.Data by YChartsPassing Microsoft in net worth on March 28th, 2000, after tripling over the past year to a valuation of over $500 billion, with predictions of it becoming the first trillion-dollar company.Data by YChartsNow replace all of the above with Nvidia today but with an additional trailing zero on the valuation target. Tripled in under a year, check. Wildly bullish targets, check. A non-recurring hardware business model prone to boom/bust cycles, check.There are absolutely differences. Cisco traded at nearly a 200x P/E at its peak, versus 45x for Nvidia now. But Cisco grew revenue steadily over a long period, rather than having an incredible 4 quarter parabolic ramp like Nvidia has had.Data by YChartsCisco actually kept growing well for the next 5 years after the peak, but once the hyper growth period ended and more competition emerged, Cisco's P/E declined from its 200x peak to below 20 by 2005.Data by YChartsI believe something similar could happen here, with Nvidia Data Center revenue peaking and then declining into a steady state far below current levels.Nvidia Revenue Durability and ValuationNvidia is now trading at 45x 2025 EPS, compared to tech peers Microsoft (MSFT) at 35x, Apple (AAPL) at 30x, and Google (GOOG) at 23x. Is this justified by Nvidia's growth? That's the bull case, although Nvidia has the least predictable revenue of the major technology players in my view.Nvidia has a history of changing revenue direction rapidly, like in 2022 when the crypto bubble went into reverse, and Nvidia saw revenue decline 29% in just 2 quarters. (Nvidia's FY23=CY22.)NVidia Revenue Trends 2021-2023 (NVidia Investor Relations)Now look at the last 12 months of revenue data for Nvidia, with Data Center revenue being up 6x. A few things I think when I look at this data.NVidia Revenue Trends 2023-Current (NVidia Investor Relations)ChatGPT was released to the public on November 30th, 2022. AI has been a thing for a while, but a publicly released product spurred a ton of interest in it. \"AI Leaders\" are given premium valuations. Who wouldn't be investing in AI here?The Q1-25 print for NVDA and Q2-25 guide was largely in line with most expectations. In fact, the stock was flat/up 1-2% for a while after the earnings were released. I believe most of the 33% post-earnings run was due to the stock split and not the earnings themselves.The decrease in Gaming and Professional Visualization revenue. Do not let the titles fool you, the GeForce Gaming cards and Quadro Professional Visualization cards are used for a lot more than gaming and rendering. There is a lot of AI work/execution that gets done on these cards, although memory limitations prevent training on massive data sets. The cloud GPU providers even sell time on the more expensive Quadro cards. While it's only a single data point, I believe stagnation or declines in these cards may provide an early read on true end user demand, versus the larger Tech companies building out AI Cloud capacity in hopes to resell it later.I think investors who are taking the recent revenue trends and extrapolating many years into the future are making a mistake.Reseller DemandNvidia's largest customers are driving the majority of the Data Center revenue. Amazon, Meta, Microsoft and Alphabet are estimated to account for 40% of Nvidia's revenue. There is also a significant number of sales from newer resellers like CoreWeave, Lambda Labs, and others. This demand isn't (primarily) for their own use, but to resell to other companies.Currently, the cloud providers are overbuilding capacity, and for good reason. To carry the premium pricing over the smaller players, they need to guarantee availability of GPU resources when a customer wants it, so this is a bit of a land grab for the cloud providers. But this overbuilding will not last forever.These companies are also developing their own hardware platforms, and while initially targeted to handle internal workloads, eventually these will be resold to other cost-conscious customers. Nvidia's margins are just too great right now to be maintained for more than a few years, in my opinion, and large customers will adapt their code to ASIC's or other specialized products like Google TPU's for savings. Nvidia has a moat with CUDA, its proprietary API, but this moat is far from impregnable. It just becomes a math problem eventually: pay the premium from Nvidia GPU processing, or port the code to another platform.Even before this, any macroeconomic pullback or a shift in investor sentiment around spending money on AI without tangible results, and we will see companies \"right sizing\" their AI investments and conserving cash.Data Center revenue moving from $4.3 billion to $22.5 billion in 4 quarters is simply too much too fast, and it could go in reverse quickly as well.My Views on AII've mentioned this in articles occasionally, but my day job is in technology, not finance. Specifically, I've worked with Machine Learning and Deep Learning/AI projects within the medical industry for a very long time, which colors a lot of my thinking on the topic.AI has been a big topic in medicine for a while now, and GPU's are certainly driving innovation there. But results have been a very mixed bag, and there are very real, practical challenges in getting AI to actually produce something useful.IBM's (IBM) much heralded and hyped Watson AI super project has been a disappointment and has quietly been shut down over the past few years before being sold off, after failing in many real-world implementations.Another excellent example of the challenges in real-world AI can be seen in publicly traded AI pure-play iCAD (ICAD). iCAD makes a product, ProfoundAI, that uses AI on mammograms to help Radiologists detect Breast Cancer. Using AI to locate breast cancer is a hugely attractive application:Large screening populationMany images to look at (especially with Tomosynthesis/3D Mammography)Single organBinary question to answer (breast cancer present: Yes/No.)Yet, while it is a clear improvement over past machine learning-based techniques, it still struggles to outperform radiologists. At its core, the problem is one of data: it's only going to be as good as the \"ground truth\" data set, which generally means that anything a human missed, AI will miss, since it wasn't \"trained\" on it.This data limitation is what I see with services like ChatGPT and Google Gemini. I've found these services good at summarizing data I give them, but nearly useless for asking questions, as it often gives very confident yet wrong answers, and that's before considering any ideological filters/biases present.Nvidia 2024 versus Cisco 2000Of course, we know Nvidia will report higher sales and income for the next few quarters, probably the next 3-4 at least. That doesn't mean the stock will be higher. Let's see what happened with Cisco in 2000, which to me feels very much like Nvidia today.Data by YChartsCisco shares peaked in March 2000.Cisco May 2000 earnings, revenue rose 53%, net income up 42%.Cisco August 2000 earnings, revenue rose 61%, net income up 69%year over year.Cisco November 2000 earnings, revenue rose 66%, net income rose 67%. It looks like earnings are still accelerating here!Cisco's first true \"miss\" didn't happen until February 2001, with net income still up 50% year over year. Revenue missed and Guidance was poor (only predicting 40% growth, versus the 55% the street was expecting.)By the time the actual miss came, shares had already been cut in half, and then got cut in half again. Cisco started from a far higher multiple, near 200x at its peak; so I'm not predicting Nvidia declines 75%. But I absolutely think that we could see Nvidia peak revenue in 3–4 quarters, and decline in quarters beyond that, and that shares could be 50% lower from here if that happens.ConclusionAI is hot right now, undoubtedly. Other than Nvidia and other companies selling the hardware and cloud services, I have a tough time finding companies that are really winning through AI, especially those that have been investing in it before the recent hype.Lemonade (LMND) the AI-powered insurance company is still down 90% from its 2021 high and still losing money. There is no evidence that AI is doing anything positive for them.Meta said it would \"expect to see a multi-year investment cycle before we fully scaled Meta AI, business AIs and more into the profitable services\"Previously mentioned medical companies, including IBM's failures in this space.Ultimately, I think companies are overinvesting in AI right now largely because they believe that will drive their stock prices and because that's what their competitors are doing. Any company that outright said, \"we believe AI is a lot of hype, and we're choosing to invest in other things\" would likely see their share price punished.I still do not see enough AI-enabled products that are truly transformative to believe this level of investment is sustainable, and believe we are just a few quarters away from this topping. In short, I just do not believe Nvidia's sales and margins at these levels are sustainable.I think there is an excellent chance that this week marks the peak for Nvidia, and now is a good time to take some profits.Editor's Note: This article covers one or more microcap stocks. Please be aware of the risks associated with these stocks.","news_type":1},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"langContent":"EN"}],"hasMoreComments":true,"newsSizeData":{"likeSize":10,"commentSize":1,"repostSize":1,"favoriteSize":4,"likeStatus":false,"favoriteStatus":false}}