I Ranked the Mag 7 Before Earnings — Only 3 I’d Buy Now

The Magnificent Seven are approaching their most important earnings test of 2026. Alphabet and Tesla report this week, followed shortly by Microsoft, Meta, and Amazon. And by the end of this earnings season, we may finally know which members of the group still deserve their valuations and which ones have become dangerously mispriced because something unusual has already happened this year. Through early July, the other 493 companies in the S&P 500 have gained around 14%. Compare that with around 9% for the full index and barely 2% for the Magnificent Seven. The market's old leadership has broken down, but these seven companies, well, they still represent almost 34% of the entire S&P 500. So, even investors who do not own them individually remain heavily exposed to their earnings, their spending plans, and their valuations. That is why what happens next matters to the entire market. And this is the central argument behind today's episode. The Magnificent Seven are no longer behaving like one trade. They now have completely different growth rates, profit engines, valuation, and downside risk. But first, we need to understand the enormous test beginning this week. >> Nathan, just set the table for us here. Uh there has been a lot of kind of anxiety and agita just about the AI spend. What are we going to learn this week in broad terms from these companies? >> think one one of the first things we're going to learn in terms of the CapEx is I mean, obviously, we've seen so much projection into how much of these companies, these four major hyperscalers, are going to be spending over the next year, projecting something like what, 725 billion dollars. So, when we hear from Google parent Alphabet on Wednesday, I think that for a lot of analysts is going to be the big focus on how they set the table for when we hear from Meta, Microsoft, Amazon a week from now. >> Alphabet is therefore not simply reporting its own quarter. Its cloud growth, capital expenditure, and AI monetization will establish the expectations facing Microsoft, Meta, and Amazon. And despite the recent reduction in positioning, institutional exposure to the group will actually remain substantial. And the bullish argument here is that these companies can comfortably fund the spending. Consensus estimates shown here suggest the four largest hyperscalers could generate more than 600 billion of combined annual free cash flow by 2030. Now, that is an extraordinary financial engine. And their earnings, well, they're also still expected to grow faster than the broader market. For the second quarter, Magnificent Seven earnings growth is forecasted at approximately 31% compared with around 23% for the other 493 companies. So, the growth advantage is real. And importantly, this year's market gains have been driven by earnings rather than investors simply paying higher multiples. Earnings contributed around 7.4 percentage points to returns, while valuation compression removed around 2.6 points. The market is already demanding stronger fundamentals, and that creates the strongest case for remaining bullish. These are not speculative companies funding AI with hope alone. They are some of the most profitable and cash-generative businesses ever created. Here is how Dan Ives describes the opportunity. >> Look, the hyperscalers are 700 billion. I mean, that's what's funding the AI revolution. I mean, when you talk about memory chips, Nvidia, and everything else, but that's just the first phase. Because what the hyperscalers are doing is this is the buildout. It's Vegas Strip building in 1955. But ultimately, the monetization now is going to come. I mean, when you look at Meta, they're not just spending to spend. You look at Microsoft, they essentially own the enterprise. Alphabet, 5% of their customers have gone to the AI path, same thing with Amazon. So, my whole point is you've had this tech rally, but Mag 7 right now penalty box essentially. I think it significantly outperformed second half of the year. >> Now, that argument has credibility because earnings forecasts are not always the wildly inaccurate guesses investors assume. Outside major recessions, the broad path of forward earnings estimate will has historically tracked actual earnings reasonably closely. The main danger may not be the growth disappears. The bigger danger is paying the wrong price for that growth. On this excluding Tesla comparison, the Mag 7's forward valuation premium over consumer staples has not simply narrowed. It's recently moved into a discount. Now, it sounds extremely bullish, but it hides enormous differences within that group. And the earnings advantage, well, it's also expected to narrow significantly. Magnificent Seven earnings growth falls around 63% in the first quarter, 20% by the fourth quarter. By then, the other 493 companies, they're forecasted to grow slightly faster. It changes what investors should be willing to pay. So, the real question is not whether artificial intelligence transforms the economy. It almost certainly will. The question is whether profits arrive quickly enough to support the assumptions embedded in each individual stock price, and that is the race that horses lock highlights here. >> Well, the issue, of course, is that there is a huge, of course, build-out of capacity and compute, and there will literally be unlimited demand for compute. The question is just at what price, and who will the buyers be, and where is that capacity coming from? And the big picture still remains that AI is a very revolutionary technology. Everyone agrees on that, but the key question now is how long time is it going to take before this shows up, especially in profit margins outside the Magnificent Seven, because if the S&P 493, let's say that it takes several years before profit margins begin to go up, the question is whether the implicit earnings assumptions in the Magnificent Seven are too high or too fast relative to what's actually going to happen. >> And that is the distinction investors must understand. AI can transform the global economy while individual AI stocks still underperform because too much future success was already priced into them. This year the equal weighted S&P 500 has comfortably outpaced the Magnificent Seven and through late June both the Russell 2000 and the equal weighted S&P 500 had significantly outperformed the group. The market's not abandoned technology but leadership's broadened and investors have become far more selective about where they accept valuation risk. And we also have Citi they're now even arguing the Magnificent Seven label has become obsolete. And I agree with the underlying idea. Grouping these companies together increasingly hides more than it reveals and their drawdowns make that clear. And even in 2026 individual declines have ranged from 9% going up significantly higher from what we've seen in just the last few weeks. We're talking in the 30-40% and during the 2022 decline several members well they actually suffered larger drawdowns. We're talking between 50% and 74%. So mega cap does not automatically mean low risk and it's worth pointing out that single stock volatility that's also rising faster than index volatility. That's exactly the environment in which blindly owning the full basket becomes less effective and analyzing each company individually becomes more valuable. So stock selection matters once again and just look at the year-to-date heat map for the Nasdaq 100. The divergence is very clear. Apple, Alphabet, Nvidia and Amazon have produced gains while Microsoft, Tesla and Meta well they've moved in completely different directions. This supposed basket is already fractured and even during the most recent month, the differences remain substantial. Meta, Amazon, and Microsoft has strengthened whilst Tesla and Alphabet have moved lower. Calling all seven companies one trade no longer makes sense and once volatility returns, the downside can become severe very quickly. This is why simply buying whichever mag seven stock has fallen the most is not a strategy. A lower share price can create value, but also expose weakening fundamentals or unrealistic expectations. So now we have two competing truths. The Magnificent Seven remain enormously profitable businesses with exceptional exposure to the AI revolution, but they are no longer one group, one valuation, or even one risk profile. It means every company must now pass the same five tests, growth, profitability, AI monetization, valuation, and downside risk. And I've analyzed all seven independently, compared their forward valuations with their expected growth, and ranked them from weakest risk-to-reward to the strongest opportunity before earnings. Now only a few passed every single test and there are far more that carry a lot of risk than their size and reputation suggest. So let's begin with number seven. Now normally I would move directly into a traditional countdown, but because these seven businesses have become so different, one ranking method is no longer enough. So first I'm going to show you how the order changes under four separate tests. We're going to start off with Wall Street's average price target, then we'll use my own discounted cash flow model, compare each valuation with its five-year history, and finally rank the underlying growth. Only after that will I reveal my complete ranking. But based purely on analyst price targets, well Apple ranks last. Its average price target is $318, which implies around 4% downside from today's price. We then have in sixth place Tesla. Now, Wall Street, they do see upside at 11%, but that is far below the expected upside across most of the group. Their price target $425. And in fifth place, we got Alphabet with around 22% upside to the average analyst target. Amazon, well, that ranks in number four with around 26% implied upside. Meta comes in at third, only slightly ahead of Amazon with around 29% implied upside. And Microsoft, that takes the number two position. We can see here the average target of $558 implies around 42% upside despite the company's enormous existing market value. And Wall Street's number one, well, that is in fact Nvidia. The average price target here $302 implies around 46% upside. So, purely on analyst ranking, it's Nvidia in number one, then Microsoft, Meta, Amazon, Alphabet, Tesla, and Apple at number seven. But just remember, analyst targets often follow share price and earnings revisions. They reveal what Wall Street expects, but not necessarily what the underlying cash flows are worth. So, now we remove Wall Street from the equation, and my DCF ranking produces a far more severe result for Tesla. At $380, my intrinsic value estimate is around 252. That implies the stock today is sitting around 51% above fair value. So, based on this, Tesla ranks last, and Apple ranks number six based on this methodology. My intrinsic value is around $238 against a share price of 333. That creates a premium sitting around 40% today. We then have Alphabet that ranks fifth. My model values the business around $311, around 11% below the market price that we're seeing in the market today. In fourth place, we have Microsoft. The DCF produces an intrinsic value of $423, giving the stock a modest 7% margin of safety. In third place, we have Amazon. My valuation of $303 implies a 19% margin of safety. With Meta ranking number two, intrinsic price $824. That gives a margin of safety of just under 22% today. And Nvidia ranks first again. My DCF values the company around $262 against a market price of just above 200. That creates a 23% margin of safety. So, the DCF ranking is Nvidia first, Meta second, Amazon third, then Microsoft, Alphabet, Apple, and Tesla. But, a DCF is only as reliable as the assumptions inside it. And that takes us to the third test. And Tesla ranks last again. The forward P is at 178. That is more than 50% higher than its own 5-year average. Apple ranks sixth. Its forward P of approximately 37 is more than 30% above its 5-year norm that sits at 28. And you'll also notice that when we look at the blue channel from Simply Safe Dividends, where it does highlight the intrinsic fair value, the current share price today sits above the upper end. That is another signal of potential overvaluation. You'll notice though more often than not, this is a company that does in fact trade at a premium. Investors continue to buy regardless of this notion. We then have Alphabet that comes in at number five. The forward P sitting around 28. Well, that's much higher than their 5-year average, which sits closer to the 22. And when we take a look at the blue channel, very similar to what we just saw, this one is trading again at a potential premium. Although, unlike Apple, this one has actually traded quite significantly in an undervaluation signal. It's actually quite rare to see it trading at a premium. And that's what we've pretty much seen over the last few months. Meta, well that comes in at number four. The forward P sits just below 20. That's approximately 10% beneath its own historical average, and we therefore get a potential undervaluation signal on the blue tunnel. We can see it just slightly below the bottom end. Very similar to what we saw for Alphabet. This is one that has for quite a large portion been trading at an undervalued level. Incredibly rare to see it trade at a premium. Microsoft, that takes third place at around 21 * forward earnings. It rates around 30% below its five-year that sits at 31. And another one that only trades at an undervalued signal, but the disconnect here is much higher than what we have seen. Look over the last five and 10 years. Incredibly rare, in fact, we've not noticed it once in the last 10 years where it's traded at such a massive disconnect to its overall fair value. Now, Nvidia ranks at number two. Its forward multiple is around 21 compared with its five-year average of 36. That is a substantial discount despite its growth. And when we take a look, in fact, at the blue tunnel, you can see a huge disconnect, hence why we would even say Nvidia is looking potentially severely undervalued. Now, Amazon technically ranks first on the raw comparison, but these results come with the biggest warning label because Amazon's historical P, well, as we can see, 161, was inflated during earlier periods where reported profits were far lower. So, I treat this as evidence of improving valuation, not proof that Amazon is automatically the cheapest. We can also see the forward P today sits around 28. On a PEG price earnings growth basis, 1.33, which is at a 10% discount to the sector overall. So, if we do go on the basis of the raw historical data, well, the ranking would be Amazon in first place, Nvidia in second, Microsoft in third, and then Meta, Alphabet, Apple, and Tesla. And now we need the final missing ingredient, and that is the growth. And in video, well, that ranks first by an enormous distance. We can see forward revenue that's sitting at 62%. EBITDA forward basis sitting above 66. And expected earnings growth, well, that's sitting at 62.5%. Nothing else in this group comes anywhere near as close. We have Alphabet that takes second place. Forward revenue sitting just at 19%, while EBITDA as well as earnings per share growth, they're both expected to exceed 20%. Amazon, well, that ranks third at forward revenue is expected to climb 13%, but operating leverage lifts we can see here that EBITDA, their EBIT as well as their earnings per share on a forward basis above 20%. We've got Meta, that ranks fourth place. Its expected revenue growth sits around 22.5%. That is excellent, although its forward earnings growth, as we can see here, around 13.6, is slightly more restrained. Microsoft, well, that ranks in fifth place. Revenue is expected to climb around 16.2%, while both EBITDA as well as in fact earnings per share, they're expected to climb around 20% or close to. It remains impressive, but it trails the faster growing names. We've got Apple, that ranks in sixth place. Revenue is forecasted to climb by around 10.2%, while forward EBITDA as we can see in operating income growth, well, both of these, they sit around the 11% mark. And for Tesla, despite its headline A growth grade, it ranks last when all seven are compared consistently. Forward revenue, that sits at 7%. EBITDA growth, that's below 6%, and earnings growth, that's below 2%. Yes, the long-term forecast is huge, as we can see here, around 42.6, but the current operating growth is not yet caught up. So, now we have four completely different answers. Wall Street rewards expected target upside, the DCF rewards cash flow value and historical valuation shows what investors normally pay and the growth test measures what the business are delivering next. So, now let's get into my final ranking which combines all four with profitability, competitive advantage, and monetization, execution risk, and downside protection. Number one through three are my buys, number four and five are watch list stocks, and number six and seven are two valuation traps. Now, at number seven is Tesla. This is not a judgment that Tesla cannot become a much larger business. It's a judgment about the amount of future success already embedded into today's price. Their near-term fundamentals are currently weak relative to the other six companies. Forward revenue, as we said, 7% EBITDA, that's below 6%, and earnings per share forecast are below 2%. Yet, the stock currently trades around 178 times forward earnings. That's more than 50% its own five-year average and dramatically above every other company in the ranking today. And we can see, based on the DCF or the reverse DCF, it implies the market is pricing in free cash flow growth of around 37% and my medium case, which is very optimistic, assumes 30% growth and still produces a value of only $252. Well, ultimately that creates a negative margin of safety of around 51%. Tesla may eventually justify the expectations through autonomy, robotics, and energy, but the current valuation investors are paying for those victories before they've been fully delivered. For me, I'd say today Tesla valuation trap. And at number six is Apple and it remains one of the strongest consumer businesses ever created, but an exceptional business can still become an unattractive investment at the wrong valuation. In terms of revenue, we highlighted here, forward revenue only 10%, while EBITDA and in fact their operating income growth that remains around 11%. Yes, it's respectable, but it doesn't justify the group's second highest conventional earnings multiple and it trades 37 times forward earnings above the 5-year 28. The multiple's expanded even though the underlying growth rate remains among the weakest in the group today. And Wall Street where the average target actually implies around 4% downside. Apple's the only stock where the average analyst target is below the price used in the comparison today. And my DCF is even more cautious producing an intrinsic value of $238 and negative margin of safety close to 40%. Apple's not a bad company, but at this valuation the risk is paying premium growth prices for moderate growth. So, I'd lump this with Tesla as a valuation trap. And then at number five we have Alphabet. This is the first stock where the underlying growth profile is genuinely compelling. Forward revenue that's expected to climb around 19%. EBITDA, EBIT, all of these numbers as we can see even including the earnings per share over the next 12 months. They're forecast is to grow above 20%. Google Cloud, Gemini, and AI-driven search monetization create real upside and Wall Street sees around 22% upside showing that analyst confidence remains strong heading into earnings. The problem however is the valuation. On the historical comparison the forward P stands at 28 versus the 5-year 22. Investors are already paying a premium for the acceleration. And my DCF the intrinsic value of $311 that's around 11% below the market price. So, it's got one of the strongest growth profiles, but not enough valuation protection to make my top three. So, I'd give this the verdict of a watch list. And number four I put Microsoft. This is arguably the highest quality business in the entire group with unmatched enterprise distribution and enormous recurring revenue. And Wall Street ranks Microsoft second with almost 43% implied upside. The large gap reflects how far the share price has fallen relative to analyst earnings expectations. And the valuation is also attractive against history. It's trading 21 times forward earnings around 30% below its five-year average. And revenue is expected to grow 16% with both EBITDA and EBIT expected to climb around the 20% mark. It's a strong combination of scale, quality, and growth. The only reason Microsoft misses my top three is the relatively narrow DCF margin of safety. At $423, it's only 7% above the market price. I like the business significantly more than the valuation gap. So, I'd say it's a strong watchlist, but close to a buy. And before we move to the top three, I want to let you know just minutes ago I've released the latest weekly article where we cover eight quality stocks that have crashed. Only three passed the 20% margin of safety. You can click below, sign up, and read all of these including today's copy straight away. Now entering into the buy zone at number three is Meta. Among the seven companies, Meta offers one of the best combinations of growth, profitability, and conventional valuation. Forward revenue is expected to climb above 22% EBITDA remains above 20. AI is improving engagement, advertising recommendations, and monetization across the core platforms. Yet, the stock trades below its own historical valuation. Forward P/E sitting just shy of 20 compared with the five-year of 22. And Wall Street see around 28% upside placing Meta third on analyst targets. And my DCF, well, it arrives at almost the exact same conclusion. The intrinsic value of $824 producing a margin of safety at just under 22%. And on the reverse DCF, well, it requires only 6.7% long-term free cash flow growth. This is a relatively modest assumption for a company still growing revenue above 20%. So, my verdict today, Meta is a buy. Now, at number two is Amazon and it has the strongest agreement across the three Seeking Alpha rating systems as the only stock here today with a Quant Strong Buy where revenue growth is forecasted around 13% but that understates the operating story. We've got EBITDA amongst the operating income and earnings all expected above 20% as AWS advertising and retail margins where Wall Street see around 26% upside placing Amazon fourth on target potential. Now, Amazon's raw comparison with its five-year P makes it look extraordinarily cheap. This sort of average is distorted by periods of suppressed earnings. So, I wouldn't take the 82% discount literally but improving profitability has made the current multiple far more reasonable and my DCF value of around $303 implies a margin of safety of 18 and 1/2% and the reverse DCF well, it requires only 5.5% long-term free cash flow growth for a company with several independent growth engines and expanding margins. That assumption looks achievable and I'd give it the buy rating. And my number one Magnificent Seven stock before earnings is Nvidia. It ranks first on the three of the four main tests and second under the fourth. The growth advantage is overwhelming. Forward revenue sits at 62% EBITDA above 66 and earnings growth well above 62. No other Mag Seven company is currently producing anything close to this combination and despite that growth, Nvidia trades around 21 times forward earnings. Its five-year average is closer to 36. This is one of the most unusual growth versus valuation setups in the entire group and Wall Street also ranks Nvidia first with around 46% implied upside to the average target. Now, my DCF produces an intrinsic price 262 representing the largest margin of safety in the entire group at 23% and the reverse DCF, well that requires around 11% long-term free cash flow growth. That is far below Nvidia's recent growth and below the 15% base assumption used in the valuation. The risk is that the current growth cannot continue forever, though the valuation does not require it to. Nvidia combines the strongest growth, the largest DCF upside, significant analyst support, and a major discount to its own historical multiple. So my verdict is number one and a buy today. So the central lesson is the Magnificent Seven can no longer be treated as one investment. Their valuations, cash flow expectations, and operating trajectories have separated dramatically. Tesla, well that ranks seventh because the current valuation only assumes an enormous future acceleration. Apple, well that ranks sixth because its premium valuation is difficult to reconcile with one of the group's weakest growth profiles. Those are my two valuation traps. Alphabet, well that ranks fifth and Microsoft fourth. Both are exceptional businesses, but neither offer enough DCF protection to enter my top three at the prices used. And Meta ranks third offering strong growth at a below average historical multiple. Amazon, well that ranks second because operating leverage, AWS, and advertising creates one of the strongest multi-engine growth stories in the entire market. And Nvidia, well that ranks first because it leads on growth, analyst upside, and DCF value while remaining well below its own historical earnings multiple. So my final ranking is Nvidia first, Amazon in second, Meta third, Microsoft fourth, Alphabet fifth, Apple sixth, and Tesla seventh. Now Nvidia, Amazon, and Meta are the three that currently pass every test. Apple and Tesla are the two where valuation risk looks most severe. And earnings can change these assumptions very quickly. So the numbers I watch most closely are AI capital expenditure, cloud growth, operating margins, and forward guidance. Those four signals will tell us whether today's valuation are too cautious or still too optimistic. But, let me know your thoughts in the comments whether you agree with the ranking. Maybe there are some things you would change. Don't forget to sign up to the weekly newsletter by clicking on the pinned comment below. Most importantly though, have a great day. I'll see you all on the next one.