The handful of buyers whose capex budgets fund everything else on this map.
Sorted by one-month move. “Vs target” compares the current price with the mean analyst price target — a figure from analysts, not from us.
| Company | Price · todayThe latest closing price, and how far it moved from the previous close in dollars and percent. | 1 MonthPrice change since the last close on or before the same date one month ago — a calendar month, not 21 trading days. | 1 YearPrice change since the last close on or before the same date one year ago. | Vs targetHow far the price sits below the average of analysts’ published 12-month price targets. Negative means the price has already risen past that average.Analysts’ figures, not ours. Not a forecast we make or endorse. |
|---|---|---|---|---|
| METAMeta | $665.75-$16.56 (-2.43%) | ▲ 22.5% | ▼ 14% | ▲ 13%$580 … $1000 |
| ORCLOracle | $147.61-$2.98 (-1.98%) | ▲ 3.4% | ▼ 50% | ▲ 62%$110 … $400 |
| MSFTMicrosoft | $493.78-$3.97 (-0.80%) | ▲ 2.7% | ▼ 2% | ▲ 16%$400 … $870 |
| GOOGLAlphabet | $349.54+$2.21 (+0.64%) | ▲ 1.6% | ▲ 39% | ▲ 23%$340 … $515 |
| AMZNAmazon | $253.71+$2.52 (+1.00%) | ▼ 2.2% | ▲ 10% | ▲ 29%$230 … $405 |
As of close, Sep 18, 2026 · prices from Yahoo Finance
Data: daily close · Reporting, not recommendations · Not financial advice.
Hyperscalers are the small group of companies whose capital spending funds nearly everything else on this map. When they raise or cut their build-out budgets, the effect travels down the supply chain within a quarter or two.
They occupy an odd position: they are the largest buyers of AI hardware and, increasingly, competitors to their own suppliers through in-house chip programmes. That tension is worth watching, because it changes who captures the margin.
What moves it: quarterly capex guidance, cloud revenue growth, and any signal about the return being earned on money already spent.
The Weekly Pulse covers Hyperscalers (The Demand Signal) alongside every other sector — one email, Sunday, free.
Because their spending is the demand signal. Almost every other sector here ultimately sells into their data-center build-outs, so their budgets are the leading indicator for the group.
Capital expenditure is money spent on long-lived physical assets — buildings, servers, chips, power infrastructure. For AI infrastructure it is the single most-watched number, because one company's capex is another company's revenue.
Several design their own accelerators for internal workloads while continuing to buy merchant chips at scale. Both things are true at once, and the balance between them shifts by generation.