The Magnificent 7 collectively reached a mixed market capitalization of $20.8 trillion, surpassing the EU’s GDP of $19.4 trillion.
The GDP of the European Union stood at USD 19.42 trillion in 2024 and was anticipated to extend barely to over USD 19.65 trillion in 2025. The European Fee revealed that the spring forecast projected actual GDP development in 2025 at 1.1% within the EU and 0.9% within the euro space, broadly the identical charges attained in 2024
Magnificent 7 dominate world markets
Nvidia reported a market valuation of $4.3 trillion, $165.2 billion in trailing twelve-month income, and $115.4 billion in gross revenue.
Microsoft reported a market valuation of $3.85 trillion. Within the fourth quarter of FY2025, Microsoft’s gross sales totalled $76.4 billion, representing an 18% improve over the earlier 12 months. Internet earnings elevated 24% to $27.2 billion, whereas working earnings elevated 23% to $34.3 billion. At $3.65, diluted earnings per share represented a 24% improve over the earlier 12 months.
As of October 2, Apple had a market worth of $3.78 trillion, bolstered by $190.7 billion in gross revenue and $408.6 billion in trailing twelve-month income, which yielded an annualized return of 17.52% over the previous 5 years.
Google’s Alphabet had a market valuation of $2.95 trillion, $371.4 billion in income, and $218.9 billion in gross revenue, yielding a five-year annualized return of 27.07%. Amazon had a market valuation of $2.34 trillion, $670.0 billion in income, and $332.4 billion in gross revenue. Amazon has a 6.39% five-year return.
Meta additionally reported a market valuation of $1.84 trillion, $178.8 billion in income, and $146.5 billion in gross revenue, yielding a five-year annualized return of twenty-two.61%. As of October 2, Tesla’s market worth stood at $1.48 trillion, bolstered by $16.2 billion in gross revenue and $92.7 billion in trailing twelve-month income, with a five-year annualized return of 24.38%.
World leaders warn as tech giants drive valuations past fundamentals
🇺🇸🇺🇸
Over 50% of the US market cap is now pure Tech.
Defensives have collapsed to beneath 15%.
This isn’t diversification – it’s a Tech Empire 🇺🇸🇺🇸$tsla $nvda $google $appl #Bitcoin $qqq pic.twitter.com/taa4SxxSME— Hod | Code2Capital (@HodTzdaka) October 3, 2025
David Solomon, CEO of Goldman Sachs, warned on Friday at Italian Tech Week in Turin, that an AI funding frenzy could also be overdone and that inventory markets are due for a “drawdown.”
Solomon stated main US inventory indexes have notched document excessive after document excessive this 12 months on the promise of synthetic intelligence. He argued that there’s an excellent probability that not all of these investments will ship massive returns. He famous that the web craze of the late Nineteen Nineties and early 2000s drew a frenzy of funding in tech corporations on the time. Solomon reminded the group that the web craze was adopted by a dramatic collapse, which is often often called the “dot-com bubble”.
“I wouldn’t be shocked if within the subsequent 12 to 24 months, we see a drawdown with respect to fairness markets.”
David Solomon, Goldman Sachs CEO
Jeff Bezos referred to the AI funding wave as an “industrial bubble.” He additionally emphasised that innovation stemming from such AI funding cycles can nonetheless yield long-term benefits. In accordance with Bezos, the market is searching for the following massive breakthrough, harking back to the dynamics of earlier bubbles. He added that the earlier bubble dynamic is why many small AI ventures with weak foundations obtain funding.
On October 3, Dario Perkins, TS Lombard’s Managing Director of World Macro Analysis, raised an alarm when he observed that massive tech corporations have been more and more utilizing off-balance-sheet loans and particular goal entities (SPVs) to finance AI tools. In accordance with Perkins, it is a “recognition that that is getting out of hand.” Perkins emphasised that the actual leverage and threat publicity of companies like Meta, which has requested $29 billion in non-public finance for the enlargement of its AI knowledge centre, are hid by such borrowing strategies.
