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Alphabet's 12.64% slide drags the Magnificent Seven lower; Meta and Apple close higher
Alphabet fell 12.64% on Thursday after a third-quarter earnings miss, pulling the Magnificent Seven's simple average to -2.09%. Meta rose 1.96% and Apple 1.48%. Amazon, down 4.25%, reported results after the bell that CNBC said missed expectations.
Daily bars are aggregated by Alpaca from consolidated trades and can differ slightly from official exchange closing prices.
Amazon filed a Form 8-K on Oct 29, 2026 (Item 2.02: results of operations and financial condition).
Meta Platforms filed a Form 8-K on Oct 29, 2026 (Item 1.01: entry into a material definitive agreement).
CNBC reported (2026-10-29): Alphabet reported third-quarter revenue of $127.58 billion and search revenue of $63.35 billion against a $64.96 billion estimate; the report ties the selloff to concern that AI chatbots are cutting into search.
CNBC reported (2026-10-29): Amazon's third-quarter results missed expectations, with net sales of $201.9 billion, AWS sales of $46.0 billion, negative free cash flow, and an unchanged 2026 capex forecast of about $220 billion.
SEC EDGAR reported (2026-10-29): Meta filed a Form 8-K on Oct 29 that lists an underwriting agreement for depositary shares and a deposit agreement with Computershare.
Alphabet did most of the damage. The stock closed at $283.82, down 12.64% on the day and 12.46% over five sessions, the weakest in the group by a wide margin. The day extended a slide that began earlier in the week: Alphabet closed at $324.89 on Oct 28 and $324.22 on Oct 22. Meta, at $624.52, rose 1.96% but is still 3.75% lower over five sessions. Tesla leads the week at +7.67%, and Microsoft is up 1.74%.
CNBC reported that Alphabet missed third-quarter estimates, with revenue of $127.58 billion and search revenue of $63.35 billion against an analyst estimate of $64.96 billion. The report linked the selloff to concern that AI chatbots are eating into search. Amazon also reported on Oct 29. CNBC said its earnings and revenue missed expectations, with net sales of $201.9 billion and AWS sales of $46.0 billion, and that the company kept its 2026 capital spending forecast at about $220 billion. Amazon closed down 4.25% at $243.79 in the regular session.
The rates backdrop is firm. The 10-year Treasury yield stood at 5.05% on Oct 28, up 0.06 percentage point from the day before, while the 2-year yield eased to 4.67%. The 10-year minus 2-year spread was 0.37 percentage point on Oct 29. The 10-year real yield was 2.67%. Higher long-term yields weigh on companies whose earnings sit further in the future, and heavy capital spending on AI infrastructure raises the bar for near-term cash flow.
The next scheduled company event in MAG7 Stocks' earnings calendar is Apple on Nov 2, after the close. Meta filed a Form 8-K on Oct 29 under Item 1.01, entry into a material definitive agreement. The filing lists an underwriting agreement dated Oct 26 for depositary shares. No pre-market quotes were available when this brief was prepared.
Watch next (2026-11-02): Apple reports quarterly results after the market close, per MAG7 Stocks' earnings calendar.
Watch next (2026-10-30): Amazon's first regular-session trading after its Q3 report and 2026 capex forecast of about $220 billion.
Two of the seven stocks closed higher and five lower, with 14.60 percentage points between Meta, the strongest, and Alphabet, the weakest. The reason for Amazon's decline is not stated in the sources used here, since its results came out after the close. How Alphabet and Amazon open could show whether the earnings reaction spreads to other companies spending heavily on AI.
Chart, Previous session: change at the close (%): META 1.96%; AAPL 1.48%; MSFT -0.16%; TSLA -0.23%; NVDA -0.8%; AMZN -4.25%; GOOGL -12.64%. Source: Alpaca daily bars, regular session.
Chart, Five sessions, 2026-10-22 to 2026-10-29 close (%): TSLA 7.67%; MSFT 1.74%; NVDA 0.68%; AAPL 0.2%; AMZN -2.63%; META -3.75%; GOOGL -12.46%. Source: Alpaca daily bars, regular-session closes.
Written with AI assistance from verified market data and the cited reporting; published after automated checks of every figure.
For information only; not investment advice. The publisher may hold positions in the securities discussed.
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Earnings dates, product launches, company-hosted events, investor conferences, industry summits, capital-markets moves, legal matters and leadership changes across the seven — filterable by category and by company.
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The Mag7 move the market on these days
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Market-wide events that can move all seven at once. Times are US Eastern.
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Fundamentals
Financial Analysis
Three ways into the Mag7 story: how the group moves together, how each company stacks up on its own, and the AI trade concentrated in one stock. Want to test your own numbers? Head to the Tools & Calculators page.
Chapter 01 · Together
The Mag7, as a Whole
Seven stocks that increasingly move as one. Here's today's group performance against the market, every company's key numbers side by side, how much of the economy they represent, and the decades of history that got the market here.
Mag7 Index Tracker
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Mag7 Index vs. S&P 500 (SPY)
Day change from the same quote feed as the ticker bar. Shown only when every Mag7 price and SPY have a quote.
How this index is weighted
Weights are approximate market-cap shares (see "Mag7 in the World" below), applied to each company's day change from the quote feed. The S&P 500 figure is the day change of SPY, an ETF that tracks the index; it can differ slightly from the index itself. When the market is closed the figures are the last session's, and when any quote is missing no comparison is shown. Not a trading signal.
Every Company, One Glance
Click any row to jump to that company's full deep dive in Chapter 02. Prices update live; trailing P/E as of Oct 24, 2026; latest-quarter revenue, growth and highlights are site-maintained figures as of Oct 24, 2026; forward P/E is an analyst estimate as of Oct 9, 2026.
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Mag7 in the World
How seven companies stack up against the entire market — and the global economy.
~$23.9T
Combined market cap, Oct 22, 2026 close — up from $12.3T at end of 2023
~35%
Share of the S&P 500's total market cap as of early October 2026, historically high concentration
7 of 7
Members worth over $1 trillion each at the Oct 22, 2026 close — a club that didn't exist a decade ago
$5.12T
Nvidia's market cap at the Oct 22, 2026 close — at its Oct 6 record it came within about 2% of $6 trillion, a level no company has reached
Mag7 Share of the S&P 500
The rest of the index — 493 other companies — makes up the remainder.
2026 YTD: Mag7 vs. the Broader Market
Roundhill Magnificent Seven ETF (MAGS) vs. the S&P 500.
Sources: MacroMicro, Forbes, InvestSnips, Benzinga, Mellon Investments, Apollo Academy. Figures are approximate and move daily — treat as a directional reference, not a live feed.
Current Ranking by Market Cap
Nvidia has overtaken the group — from under 1% of the Mag7's combined value in 2015 to its single largest member today. Rankings shift daily; treat order as directional.
Show four decades of market leadership: from IBM to the Magnificent Seven
The names at the top of the market have rotated roughly once a generation — each era's leaders unseated by a shift in technology, and often knocked down further by a crisis nobody saw coming.
Chapter 02 · Individually
Company by Company
Pick any of the seven below for its full financial snapshot, a free-cash-flow DCF calculator built on each company's reported cash flow, and — if you keep scrolling — its own history of breakout moments and near-death experiences.
Show Rise & Fall: each company's own history
Each Mag7 company's own history of breakout moments and near-death experiences — and the news behind each one. Pick a company below.
Show cross-company comparison charts
Trailing P/E Comparison
Five companies with a disclosed trailing P/E this cycle. NVDA and TSLA omitted (forward-only / not disclosed). Same figures as the snapshot table, as of Oct 24, 2026.
Latest Quarter Revenue Growth, YoY
Total company revenue growth for the most recent reported quarter.
Chapter 03 · Earnings
Earnings Intelligence
When each Mag7 company reports next, and how its latest quarter compared with consensus.
Chapter 04 · The AI Trade, Concentrated
The Nvidia Premium Factor
Nvidia has become the market's proxy for the entire AI trade — its market-cap trajectory and the health of the supply chain beneath it now move sentiment for the whole sector. Part individual-company story, part referendum on the group.
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Nvidia's share of the Mag7's combined market cap at the Oct 22, 2026 close
~450x
Approximate market-cap growth since Nvidia's 1999 IPO
~13x
Approximate market-cap growth since ChatGPT's Nov 2022 launch
92%
Share of Nvidia's own revenue now from Data Center alone
Market Cap Over Time: Nvidia vs. Apple vs. Microsoft
Approximate figures at key checkpoints — illustrative of the trend, not exact historical closes.
Nvidia P/E vs. Mag7 Peers
Despite the run-up, Nvidia's multiple is mid-pack — its premium is in growth, not valuation. NVDA shown on a forward P/E basis; others trailing twelve months. Same figures as the snapshot table: trailing P/Es as of Oct 24, 2026, NVDA forward P/E (analyst estimate) as of Oct 9, 2026; other figures as of Oct 24, 2026.
The AI Hardware Supply Chain Beneath Nvidia
Every link below is a potential bottleneck — a shortage or slowdown at any single stage can ripple straight through to Nvidia's ability to ship chips.
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Chapter 05 · Chart Library
The Mag7 Chart Library
A library of charts that answer the questions investors keep asking: how concentrated is the market, how expensive is Big Tech, is the AI spend paying off, is the rest of the index catching up — and what are rates, inflation and the calendar doing to all of it? Headline charts are free; the deeper Mag7-specific analysis is Pro.
Charts are educational and directional, not investment advice. Live data is pulled automatically from FRED and Alpaca. Site data comes from this site's own figures and changes only when we refresh them. Estimate charts use approximate figures we review after each earnings season — each chart shows its "last reviewed" date and flags itself when an update is pending. Company-reported figures come from company filings. This product uses the FRED® API but is not endorsed or certified by the Federal Reserve Bank of St. Louis. Past performance does not predict future results.
Chapter 06 · From the Filings
Reported Fundamentals
How the seven companies compare on what they have actually reported to the SEC: growth, margins, earnings and cash flow, with the filing behind every figure and a note on how fresh the data is. Ratios are calculated by MAG7 Stocks from reported figures and are labelled as such.
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Turn it into your own view: the Mag7 scorecard
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Try It Yourself
Tools & Calculators
Build a mock portfolio (you choose the starting amount) across the Mag7, test how a move in Treasury yields could hit each valuation, or set your own volatility triggers — all update instantly using the figures from the Analysis page. No login required to experiment; creating a free account just lets you save your results.
Portfolio & Planning
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See how your allocation stacks up against everyone else's. Submissions are public and use the same illustrative return model as the optimizer above.
🔮 Future Mag7 Predictor
Which companies could be the next Mag7?
A simplified compounding model that projects today's Mag7 and the Mag 8–15 Watchlist forward in time. Pick a horizon and a growth scenario to see who'd lead the pack — and who'd get bumped out of the top 7.
Time Horizon
Growth Scenario
Projected Market Cap: Top 7 in 10 Years
A compounding model, not a forecast — see the notes below.
This is a simplified two-stage compounding model: each of the 15 companies (today's Mag7 plus the Mag 8–15 Watchlist) grows at an illustrative annualized rate for the first 3 years, then that rate fades linearly toward an assumed 6% long-run market growth rate by year 10, and holds there afterward. Starting market caps and growth-rate assumptions are rough, illustrative estimates — not verified figures — and the Conservative / Base Case / AI Supercycle buttons simply scale those growth-rate assumptions up or down. Real markets are far less predictable than any compounding formula; treat this as a thought experiment, not a forecast or investment advice.
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Valuation & Rates
See what higher Treasury yields could do to each valuation, then dig into the valuation model.
📉 Rate-Shock Calculator
How much could a move in Treasury yields cost each stock?
10-yr: —
The 10-year Treasury yield is the benchmark for the discount rate investors apply to future profits; the tag above shows its latest reading from FRED. Pick a yield move and how much of it flows into investors' required return, and see the implied change in each company's valuation, holding earnings forecasts steady.
Company
+0.50 pts
Drag right for higher yields, left for lower. Moves are in steps of 0.25 percentage points.
50%
At 100%, the yield move hits investors' required return one-for-one. Lower values assume equity risk premiums absorb part of it.
P/E used
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Implied price change
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Implied price
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Market-cap impact
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All seven combined
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Implied valuation change, all seven
Higher-multiple stocks move more for the same change in rates.
Simplified Gordon-growth illustration: price change ≈ 1 ÷ (1 + P/E × yield move × pass-through) − 1, holding each company's earnings and long-run growth constant. P/E figures come from the Analysis page (Nvidia uses forward P/E; Tesla uses a rough 90x estimate because its trailing multiple isn't meaningful). Market caps are static figures as of the Oct 22, 2026 close, not live prices. Real stocks respond to rates through earnings, sentiment and positioning too, so treat this as a thought experiment, not a forecast or investment advice.
🧮 DCF Valuation Calculator
See what reported free cash flow implies for each stock
Pick any of the seven on the Analysis page, set growth, discount rate and long-run growth, and see what the company's reported free cash flow implies, with a sensitivity table. It's an assumption-dependent estimate, not a price target.
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Free and Pro charts on the Mag7: valuation multiples, AI capex, Treasury yields and the Fed, earnings surprises, the catalyst calendar and more. Pin your favorites and link straight to any chart.
Beyond the Hype
AI Analysis
Every AI angle on the Mag7 in one place — infrastructure spending, models, chips, regulation and robotics — pulled together and categorized from across this site.
💰 AI Capex Tracker
Exact billions guided for AI infrastructure this year
FY2026
Reflects each company's own latest earnings-call guidance where disclosed. Updates whenever new guidance is issued — currently as of Meta's Q3 2026 report (Oct 21) and the others' Q2/fiscal Q4 2026 reports. Ranges are plotted at their midpoint.
All four figures are the company's own guidance as reported. Microsoft's is for calendar 2026 (its fiscal year ends in June) and includes finance leases, as CFO Amy Hood stated it on the July 29 call; Meta's includes principal payments on finance leases. Definitions differ slightly between companies, so compare them as approximate. Morgan Stanley now projects these four hyperscalers' combined capex jumping a further ~57% in 2027 versus 2026, funded partly through a wave of new AI-infrastructure debt issuance.
📐 AI Capex Divergence
How much of Big Tech's AI spending becomes Nvidia revenue?
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Tracking combined data-center infrastructure investment across Microsoft, Amazon and Alphabet against Nvidia's own Data Center hardware revenue. The gap between the two is everything else in the AI buildout — power, land, networking, custom silicon and non-Nvidia servers.
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Combined 2026 capex guidance — Microsoft + Amazon + Alphabet
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Nvidia Data Center revenue, annualized from Q2 FY27's $89.0B quarter
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Divergence ratio — $ of hyperscaler capex per $1 of Nvidia Data Center revenue
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Estimated share of that capex captured as Nvidia Data Center revenue
Illustrative, not a verified vendor-spend breakdown. Hyperscaler figures are each company's own 2026 capital-expenditure guidance (see AI Capex Tracker above); Microsoft's is for calendar 2026 and includes finance leases. Nvidia's figure annualizes its most recently reported Data Center-segment quarter (Q2 FY27, $89.0B) — a run-rate, not an audited full-year total — and a meaningful portion of hyperscaler capex has nothing to do with Nvidia hardware (power, land, buildings, networking, in-house chips like Trainium/TPU/Maia). Treat the ratio as directional, not a precise attribution model.
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Beyond the Seven
Mag 8–15: the next mega-caps
The next tier of mega-cap names analysts increasingly mention in the same breath as the Magnificent Seven — chipmakers, cloud challengers and one bank and one drugmaker among them.
Company Deep Dive
Stock Tracker
Learn · Explainer
What Are the Magnificent Seven Stocks?
The "Magnificent Seven" are Apple, Microsoft, Alphabet, Amazon, Nvidia, Meta and Tesla — seven U.S. technology-driven companies whose size means they now move the whole stock market, not just the tech sector. This guide covers where the name came from, what each company actually does, why they matter so much to index investors, and where they differ.
Where the name came from
Bank of America strategist Michael Hartnett popularised the label in 2023, borrowing the title of the 1960 Western The Magnificent Seven. It caught on because these seven stocks were driving most of the market's gains that year, and it has stuck as shorthand for the largest U.S. technology companies. It is a nickname, not an index: no official body decides who is in or out, and commentators sometimes debate whether a company such as Broadcom deserves a place (see our Mag 8–15 watchlist).
The seven companies at a glance
Each name links to its company page, with its business, AI strategy, earnings dates and latest coverage.
Why they matter even if you don't own them
Major indexes such as the S&P 500 and the Nasdaq-100 are weighted by market capitalisation, so the biggest companies count the most. Because the Magnificent Seven are among the largest companies in the world, a broad index fund holds a large slice of them automatically. When they rise or fall together, they can carry or drag an index even if most other stocks are doing the opposite — the reason analysts talk about "concentration risk".
Their influence also runs through the economy. Microsoft, Alphabet, Amazon and Meta are spending heavily on AI data centres, and much of that money flows to Nvidia as chip revenue. Our AI Capex Divergence Tracker follows that relationship.
Seven different businesses
The group is often treated as one trade, but the underlying businesses are quite different:
Advertising: Alphabet (Search and YouTube) and Meta (Facebook, Instagram, WhatsApp) earn most of their revenue from ads, so they are sensitive to advertising budgets and the economy.
Cloud computing: Microsoft Azure, Amazon Web Services and Google Cloud rent computing power to other businesses — now including the capacity to train and run AI models.
Hardware: Apple sells devices and builds a services business on top of them; Nvidia designs the chips used in most AI data centres; Tesla makes electric vehicles and energy-storage products.
The outlier: Tesla is an automaker by revenue, but much of its valuation rests on expectations for self-driving software and robotics, which is why its earnings multiple looks very different from the others.
Because of these differences the seven do not always move together. A rise in interest rates, an advertising slowdown, a chip export rule or a weak quarter of car deliveries will hit some of them far harder than others.
How investors get exposure
Investors can buy the individual shares, hold a broad index fund (which already owns all seven), or use an exchange-traded fund built around the group, such as the Roundhill Magnificent Seven ETF (ticker MAGS), which this site tracks alongside the Nasdaq-100 (QQQ) and S&P 500 (SPY) funds. Each route carries different concentration, fees and risks; none is a recommendation.
Educational content, not investment advice. Figures pulled from this site are as of the dates shown on each company page; verify current numbers before making any decision.
Learn · Explainer
How to Read a P/E Ratio
The price-to-earnings (P/E) ratio is the most quoted valuation number in investing. It tells you how much investors are paying for each dollar of a company's profit — useful, but easy to misread. Here is what it measures, the difference between trailing and forward P/E, and the situations where it misleads.
The basic formula
P/E = share price ÷ earnings per share (EPS). Equivalently, it is the company's market value divided by its annual net income. A stock at $100 with $5 of earnings per share has a P/E of 20 (written 20x): investors are paying $20 for every $1 of yearly profit. If earnings stayed flat forever, it would take 20 years of profit to "earn back" the price.
Trailing vs. forward P/E
Trailing P/E (TTM) uses the earnings actually reported over the last four quarters. It is factual but backward-looking.
Forward P/E uses analysts' consensus estimate of earnings for the next twelve months or fiscal year. It reflects expected growth but depends on forecasts that can be wrong.
For a fast-growing company the forward P/E is usually lower than the trailing one, because earnings are expected to rise. When the two diverge sharply, it is worth asking why.
Earnings yield: P/E turned upside down
Divide 1 by the P/E and you get the earnings yield. A 20x P/E is a 5% earnings yield; a 40x P/E is 2.5%. Investors compare this with bond yields: when 10-year Treasury yields rise, a safe bond competes harder with stocks, which can pressure high-P/E shares in particular. Our rate-shock calculator shows that relationship for each of the seven.
When the P/E misleads
Very small or negative earnings. When profit is close to zero the ratio balloons into the hundreds (or is meaningless when earnings are negative), even if the company is not unusually "expensive" on other measures.
One-off items. A large legal charge, tax benefit or asset sale can distort a single year's earnings. Check whether a figure is GAAP or "adjusted".
Cyclical peaks. A company at the top of its cycle can look cheap on a low P/E just before earnings fall.
Different business models. A chipmaker, an advertiser and an automaker have different growth, margins and risks; comparing their P/Es directly says little on its own.
High P/E isn't automatically "bad"
A high P/E usually means investors expect earnings to grow quickly. One rough way to account for that is the PEG ratio: P/E divided by the expected annual earnings growth rate (in percent). A stock at 30x growing 30% a year has a PEG of about 1.0, the same as a stock at 15x growing 15%. It is a heuristic, not a rule — growth forecasts are uncertain.
A quick checklist
Is it trailing or forward, and is it based on GAAP or adjusted earnings?
How does it compare with the company's own history and with direct competitors?
Is anything unusual inflating or depressing this year's earnings?
What growth is the market pricing in — and is it realistic?
Educational content, not investment advice. P/E figures shown are taken from this site's data with the as-of date given; they change with every price move and earnings report.
Learn · Explainer
Stock Valuation Basics: Multiples, Cash Flow and DCF
Valuation is the attempt to answer one question: is a stock's price reasonable given what the business is likely to earn? There are two broad approaches — comparing valuation multiples, and estimating the value of future cash flows — and each has blind spots. This guide walks through both in plain language.
Market cap is size, not value
Market capitalisation is simply share price multiplied by shares outstanding. It tells you how big a company is in the market's eyes, but not whether it is cheap or expensive. A $4 trillion company can be good value and a $40 billion one overpriced; you need to compare price with what the business produces.
P/S (price to sales) — market cap divided by revenue. Useful when profits are small or temporarily depressed, but it ignores margins: $1 of revenue at a 50% margin is worth far more than $1 at 5%.
EV/EBITDA — enterprise value (market cap plus debt minus cash) divided by earnings before interest, taxes, depreciation and amortisation. Because it includes debt, it compares companies with different balance sheets more fairly.
Free-cash-flow yield — free cash flow divided by market cap; the cash return the business generates on its current price.
Multiples are quick and intuitive, but they are relative: a stock can look cheap next to peers simply because the whole group is expensive.
Why free cash flow matters right now
Free cash flow = cash from operations − capital expenditure. Accounting earnings spread the cost of a new data centre over many years, but the cash goes out the door up front. When companies spend heavily on AI infrastructure, reported profits can stay strong while free cash flow shrinks.
Approach 2: discounted cash flow (DCF)
A DCF model estimates the cash a business will generate in future years and converts it into today's money using a discount rate — the return an investor demands for taking the risk. The steps are:
Forecast free cash flow (or earnings) for the next five to ten years.
Estimate a terminal value for everything after that, often by applying a multiple or a long-run growth rate.
Discount each year back to the present and add them up; divide by shares outstanding for a per-share value.
The catch is sensitivity. The terminal value is often most of the total, and small changes in the growth or discount rate can move the answer by a large amount. Try it with our DCF valuation calculator, which starts from each company's reported free cash flow: nudge the growth, discount or long-run growth slider and watch the value swing, and see the sensitivity table beside it.
How interest rates feed in
Higher interest rates raise the discount rate investors use, which lowers the present value of future cash flows. The effect is largest for companies whose profits are expected far in the future — which is why high-growth technology stocks often fall when bond yields jump. The rate-shock calculator applies this to each of the seven.
Putting it together
Use several measures; each one hides something.
Compare a company with its own history and its closest peers, not just the market.
Write down the assumptions a price implies (growth, margins, rates) and ask whether they are plausible.
Treat any model output as a range, not a precise target.
Educational content, not investment advice. Models simplify reality; nothing on this page is a price target or a recommendation.
Learn · Explainer
How Earnings Reports Move Stocks
Four times a year each public company reports its results, and big technology stocks can move 5–10% or more overnight in response. The size and direction of the move depend less on whether the numbers were "good" than on how they compared with expectations — and on what management says about the next quarter.
What's in an earnings report
The press release with revenue, earnings per share (EPS), margins and often results by business segment. U.S. companies file it with the SEC on Form 8-K; the fuller quarterly report (Form 10-Q, or 10-K for the year) follows.
Guidance — management's outlook for the next quarter or year, when the company gives one.
The conference call, usually an hour after the release, where executives answer analysts' questions. Comments on the call can move the stock as much as the numbers.
When the seven report
Large U.S. technology companies typically report after the market closes at 4:00 p.m. Eastern, so the first reaction happens in after-hours trading and the full move shows at the next morning's open. Upcoming dates for the seven, as tracked on this site:
Dates marked "est." have not been confirmed by the company. See the events calendar for every earnings date and product launch.
It's about expectations
Before each report, analysts publish forecasts and data providers average them into a consensus estimate for revenue and EPS. A "beat" means results came in above consensus, a "miss" below. Because the consensus is already reflected in the share price, a company can grow strongly and still fall if the market expected even more — or rise on weak numbers that were less bad than feared. Traders also talk about an unofficial "whisper number" that sits above the published consensus for popular stocks.
Guidance often matters more than the quarter
The quarter just reported is history; the share price is about the future. A "beat and raise" — results above consensus plus higher guidance — tends to be rewarded, while a beat paired with cautious guidance can still send a stock lower. For the biggest AI spenders, investors also watch capital-expenditure plans closely.
The numbers investors watch for each company
Apple: iPhone revenue, Services revenue and gross margin.
Microsoft: Azure cloud growth and commentary on AI capacity and Copilot.
Alphabet: Search and YouTube advertising, Google Cloud growth and capex.
Amazon: AWS growth and operating income, retail margins and capex.
Nvidia: Data Center revenue, gross margin and next-quarter revenue guidance.
Meta: advertising revenue, ad impressions and price per ad, and spending plans.
Tesla: automotive gross margin and updates on self-driving and robotics; vehicle deliveries are reported separately, a few weeks earlier.
Reading the reaction
Options prices before a report imply an "expected move" — the range traders are paying to protect against. Real moves can be larger or smaller. After the first reaction, analysts revise their estimates and price targets over the following days, and those revisions can keep a stock drifting in the same direction. The first after-hours move is often volatile and thinly traded; it can reverse by the next close.
Educational content, not investment advice. Trading around earnings carries a high risk of sharp, fast losses.
Proprietary Metric
AI Capex Divergence Tracker
How much of Big Tech's AI infrastructure spending becomes Nvidia revenue — a single number that updates automatically as new capex guidance and Nvidia earnings land.
📐 AI Capex Divergence
Hyperscaler capex vs. Nvidia Data Center revenue
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Tracking combined data-center infrastructure investment across Microsoft, Amazon and Alphabet against Nvidia's own Data Center hardware revenue. The gap between the two is everything else in the AI buildout — power, land, networking, custom silicon and non-Nvidia servers.
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Combined 2026 capex guidance — Microsoft + Amazon + Alphabet
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Nvidia Data Center revenue, annualized from Q2 FY27's $89.0B quarter
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Divergence ratio — $ of hyperscaler capex per $1 of Nvidia Data Center revenue
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Estimated share of that capex captured as Nvidia Data Center revenue
Illustrative, not a verified vendor-spend breakdown. Hyperscaler figures are each company's own 2026 capital-expenditure guidance; Microsoft's is for calendar 2026 and includes finance leases. Nvidia's figure annualizes its most recently reported Data Center-segment quarter (Q2 FY27, $89.0B) — a run-rate, not an audited full-year total — and a meaningful portion of hyperscaler capex has nothing to do with Nvidia hardware (power, land, buildings, networking, in-house chips like Trainium/TPU/Maia). Treat the ratio as directional, not a precise attribution model.
Pageviews, tool engagement, and reader feedback — not linked anywhere, and gated behind sign-in.
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Pageviews, last 7 days
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Unique sessions, last 7 days
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Total accounts created
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Feedback submissions, all-time
Daily Unique Sessions
Last 14 days.
Device Split
Last 30 days, all events.
Signup Funnel
Accounts created in the last 30 days, and how far they got. "Returned" means a new sign-in at least a day after signing up (long-lived sessions mean this undercounts).
Campaigns
Last 30 days, visits that arrived on a utm-tagged link, grouped by tags and landing page. Each step counts visits that did it later in the same tab (the random visit id), so a signup on another day or device is not credited. “First useful action” = account created, then a price alert, watchlist add, saved portfolio or saved article in that same visit. Subscriptions are recorded server-side without a visit id and cannot be attributed; account totals in the Signup Funnel above are the source of truth. † fewer than 5 visits.
Accounts by campaign, from the server's own records: the first tagged link the browser arrived on in the 30 days before signup (Privacy Policy “How you found us”), whatever day or tab the signup happened in. “Pro now” = an active, trialing or past-due subscription; “Pro ever” also counts ended ones. Last 365 days; accounts created before 2026-10-24 have no record.
Conversion Events
Last 30 days. Counts are events; "visits" are distinct browser visits (a random id that resets when the tab closes), so one person can appear more than once. Return events count how long a device was away before a signed-in visit — an approximation, not cohort retention.
Weekly Signup Cohorts
Accounts grouped by the week they signed up (weeks start Monday, UTC). "Activated" = within 7 days, a price alert or a saved watchlist, portfolio or article. "Returned" = a new sign-in at least that many days after signup; long-lived sessions mean it undercounts, so compare week to week rather than reading it as true activity. † = fewer than 5 accounts, too few to read anything into. Only accounts old enough to be measured are counted in each rate.
Week by Week
Context for comparing publishing cadences: traffic, offer funnel, signups, publishing and unsubscribes in the same weeks. The first row is the current week so far. "Visits" are distinct browser visits, not people. Earnings weeks and market swings change all of these, so note them when you compare weeks.
Publishing Health
Last 30 days: scheduled publishing slots, editorial items and failures. "Skipped" is normal when nothing was approved for a slot.
Email Health
Last 30 days. Delivery, spam-complaint, bounce and click figures come from Resend webhooks and appear once the webhook is connected (see SETUP_EMAIL_EVENTS.md); click figures also need click tracking switched on in Resend. A spam complaint automatically unsubscribes that person from marketing email. Opens are not tracked.
Top Pages
Last 7 days, by pageview count.
Tool Engagement
Which actions people actually take, not just which pages they load. Last 30 days.
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About Mag7 Stocks
Mag7 Stocks is an independent desk covering the seven companies that move the market more than any others — Apple, Microsoft, Alphabet, Amazon, Nvidia, Meta and Tesla. We built this site because most Mag7 coverage is scattered across a dozen outlets; we wanted one place for the news, the earnings numbers, the event calendar and the industry context side by side.
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News — written with AI assistance from cited public reporting and filings, and dated. News-desk articles are approved by an editor before they publish; pre-market briefs and closing recaps publish automatically only when every figure matches the market data and every automated check passes.
Events and company figures — updated from public reporting and filings in dated refreshes. They do not update automatically between refreshes.
Calculators and simulators — illustrative models using simplified assumptions, not forecasts or backtested results.
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