The seven Magnificent 7 stocks closed on 29 October about $3.4 trillion below their highest closes, by our arithmetic from Yahoo Finance closing prices and the share counts in each company’s latest SEC filing. Two of the seven, Alphabet and Meta, closed 20% or more below their highs, the usual bear-market line.
That is fewer than the four The Kobeissi Letter counted in a post on X that had about 942,000 views when we read it on 30 October. Amazon came closest to joining them after its results: at $228.00 after hours it was 19.7% below its high, by our arithmetic. Apple closed at a record the same day.
Business Pill · Financial Conditions
A one-minute explainer of financial conditions: how the cost and availability of credit move across markets. It teaches the general idea only and says nothing about any company in this piece.
The key insight: By our arithmetic from closing prices, two of the Magnificent 7 were in a bear market on 29 October, not the four The Kobeissi Letter counted, and the seven sat about $3.4 trillion below their highs, with Alphabet about 43% of that and Apple at a record close.
What happened next (30 Oct): the FT puts the rout at nearly $900bn. The Financial Times reported on 30 October that “Big Tech sheds nearly $900bn in rout over soaring AI spending”, and its FirstFT newsletter that morning summarised it as “Big Tech sheds $900bn in market rout”. We could read only the headline and the newsletter line, not the article, so the period and the companies behind the FT’s figure are not stated here. It is a different measure from this piece’s $3.4 trillion, which is how far the Magnificent 7 stood below their record closing highs at the 29 October close, so the two figures are not added or compared.
Context (30 Oct): Bloomberg links the AI trade to the midterms.Bloomberg reported on 30 October that Wall Street expects Democrats to win at least one house of Congress in the US midterm elections on Tuesday, “setting the stage for a potentially volatile ride in the stock and bond markets with artificial intelligence oversight, defense spending and crypto legislation on the table”. It said a UBS basket of stocks tied to Republicans has plunged since peaking in August, and that one major area where this could show up is the AI trade, as Democrats are expected to push for stricter regulation and oversight of the technology. We could read only the article’s opening paragraphs, so no figures from it are given here.
What happened next (31 Oct): Axios puts October’s Nasdaq loss at $1.2 trillion.Axios reported on 31 October that the tech-heavy Nasdaq “briefly sank into correction territory, falling 10% from its prior peak, losing $1.2 trillion in value for the month of October”. Axios said Alphabet “has lost more than $500 billion in market value post-earnings”. It quoted DeepWater partner Gene Munster as saying the street is waking up to the risks of an agentic world, and added that those issues “aren’t stopping the AI capex spending spree, for now”. Axios’s $1.2 trillion is a one-month Nasdaq figure, a different measure from this piece’s $3.4 trillion gap to record highs, so the two are not added or compared.
Later on 30 Oct: drawdowns from peak, intraday 15:36Z. A list posted on X by @DeItaone at 15:27 UTC put several large tech stocks 20% or more below their peaks. Our check, using each stock’s record closing price on the date the list gives against its price at 15:36 UTC (our arithmetic, intraday, not closing): of the Magnificent 7, Alphabet was 29.7% below its 13 May 2026 close and Meta 21.1% below its 12 Aug 2025 close, so still only two of the seven are 20% or more down, as at the 29 October close. Tesla was 18.3% below, Amazon 15.3%, Nvidia 13.9%, Microsoft 3.9% and Apple 0.5% below its 29 October record. Outside the Magnificent 7, Broadcom was 32.3% below its 2 Jun 2026 close, SpaceX 34.7% below its 16 Jun 2026 close and Micron 27.0% below its 25 Jun 2026 close. The post’s own figures differ slightly from ours (for example SpaceX −31.2% and Amazon −16.4% in the post), likely because of timing.
Reuters: Nasdaq 100 set for a $2 trillion October loss (30 Oct).Reuters reported on 30 October that more than $2 trillion in market value is set to be wiped from the Nasdaq 100 this month, as Big Tech earnings intensified scrutiny of whether AI spending can generate returns quickly enough. That is a one-month change for the whole Nasdaq 100; our figure in this piece measures how far the Magnificent 7 sit below their record highs, so the two are different measures and are not compared.
The Kobeissi Letter wrote on 29 October that “Four of the Magnificent 7 stocks are now in bear market territory, with these seven names erasing a combined -$4 trillion in market cap since their highs”. It also wrote that “Over 60% of the S&P 500’s components are now in bear market territory”. We did not recompute the S&P 500 figure, which is the post’s own.
The post, above, did not say which four stocks it counted, which prices it used or at what time. It went up at 23:10 UTC, after the after-hours moves that followed Amazon’s results.
The Magnificent 7 at the 29 October 2026 close, % below each stock’s highest daily close in five years of Yahoo Finance data: Alphabet 29.5%, Meta 20.9%, Tesla 17.7%, Amazon 14.2% (19.7% at $228.00 after hours), Nvidia 10.7%, Microsoft 2.4%, Apple 0% (record close). Percentages are our arithmetic. Source: Yahoo Finance.
Our Count, Stock by Stock
At the 29 October close, by our arithmetic from Yahoo Finance’s split-adjusted daily closes: Alphabet was 29.5% below its 13 May 2026 high and Meta 20.9% below its 12 August 2025 high. Tesla was 17.7% below its 16 December 2025 high, Amazon 14.2% below its 3 August 2026 high and Nvidia 10.7% below its 6 October 2026 high.
Microsoft was 2.4% below its 13 October high. Apple’s $348.91 close on 29 October was its highest close in the five years of data we read, which puts its market value at about $5.1 trillion at the share count on its latest 10-Q cover.
Amazon on the Line
Amazon closed the regular session at $243.79, 14.2% below its high. Our after-hours scoreboard recorded it at $228.00 at 21:23 UTC, which by our arithmetic is 19.7% below the high, and at an after-hours low of $215.00 at 20:02 UTC, 24.3% below.
Reuters reported on 30 October “a drop of 7% in Amazon stocks” after hours. A 7% drop from the close would put Amazon about 20.2% below its high, by our arithmetic. Whether Amazon counts as the third depends on which after-hours price is used; Friday’s regular session has not opened as we write.
Where the $3.4 Trillion Sits
We multiplied each stock’s gap to its high by its current share count. By our arithmetic that gives about $1,461 billion for Alphabet, $616 billion for Nvidia, $434 billion for Amazon, $423 billion for Meta, $342 billion for Tesla and $99 billion for Microsoft, about $3,375 billion in all.
Alphabet alone is about 43% of that total. Its 29 October fall was its worst one-day drop ever, NBC News reported. The method uses today’s share counts, not the market value on each high’s date, and applies the GOOGL price to all three Alphabet share classes, so it is an estimate, not the $4 trillion Kobeissi gives.
The Capex Comparison
Amazon, Alphabet and Microsoft guided to about $590 billion of 2026 capital spending between them this week, as we set out from their releases and calls. By our arithmetic the three are about $2.0 trillion below their highs, about 3.4 times that combined guide.
As we read the numbers, the drawdown is concentrated: Alphabet’s gap of about $1,461 billion is larger than those of Nvidia and Amazon combined, about $1,050 billion, by our arithmetic.
As we read the after-hours data, the count turns on Amazon: at $228.00 it was 19.7% below its high and at its $215.00 low 24.3% below, by our arithmetic, so the time of the price decides whether it is the third.
By our arithmetic, Amazon, Alphabet and Microsoft are about $2.0 trillion below their highs, about 3.4 times the roughly $590 billion of 2026 capital spending they guided to this week.
The Kobeissi Letter on X, 29 October 2026
“Four of the Magnificent 7 stocks are now in bear market territory, with these seven names erasing a combined -$4 trillion in market cap since their highs”
Three Implications
FOR READERS OF VIRAL MARKET POSTS The Kobeissi Letter did not say which stocks, prices or times it used; on closing prices our count is two of seven and about $3.4 trillion, by our arithmetic.
FOR THE AI SPENDING DEBATE The three companies that guided to about $590 billion of 2026 capital spending this week are about $2.0 trillion below their highs, by our arithmetic.
FOR INDEX INVESTORS Apple closed at a record on 29 October while Alphabet closed 29.5% below its high, so the seven did not move as one, by our arithmetic.
The analysis puts it this way: “It is a sovereign-scale financing problem dressed in tech-company clothing — and the financial architecture is starting to invert.”
As we read it, this week’s market values show investors pricing that financing load: the three companies with about $590 billion of 2026 capex guides sit about $2.0 trillion below their highs, by our arithmetic. The analysis does not discuss these 2026 prices.
What Is Not Established
We do not know which prices or times Kobeissi used, so the gap between its four stocks and $4 trillion and our two stocks and $3.4 trillion may come from after-hours prices or a different method. Our highs are the highest daily closes in five years of Yahoo data, not intraday highs. We did not check the S&P 500 figure.
This Week In The AI Supercycle
Execution Fault Lines, Concentrated Demand, and Geopolitical Firewalls
This week’s issue: the AI build is not short of demand for its parts. It is short of cheap money, and its end revenue rests on a narrow base of large, often venture-funded buyers.
On closing prices, two of the Magnificent 7 were in a bear market on 29 October and Amazon was 19.7% below its high after hours, by our arithmetic. The seven sat about $3.4 trillion below their highs, with Alphabet about 43% of that, while Apple closed at a record.
A note on sourcing. Prices are Yahoo Finance split-adjusted daily closes read on 30 October 2026; share counts come from each company’s latest 10-Q cover page on SEC EDGAR; Amazon’s after-hours prices come from our earlier scoreboard. Every percentage and dollar figure is our arithmetic. The Kobeissi Letter’s figures are its own and were not recomputed, except where stated.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
