AI Capex Tracker

Capital spending across the S&P 500, and whether the hyperscaler/AI-infrastructure names spending most heavily on it are pulling away from a genuine trend break, or just further along one everyone's on.
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S&P 500 TTM Capex
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Trailing 12 months, full index
Avg. Capex Intensity
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Capex ÷ revenue, TTM, equal-weighted
AI Cohort TTM Capex
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… of the index total
AI Cohort Capex Growth
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TTM vs. prior TTM, equal-weighted avg.

Capex intensity over time: AI cohort vs. rest of the index

Aggregate quarterly capex as a share of aggregate quarterly revenue (sum, not per-company average), for the six-name hyperscaler/AI-infrastructure cohort vs. every other S&P 500 constituent with enough history.

Has the trend actually broken?

Each series above is split into two equal-length halves (oldest vs. most recent) and a Chow test asks whether the capex-intensity trend's slope genuinely differs between them, not just whether the line looks steeper lately.

Capex growth vs. revenue growth

Each point is one S&P 500 company: trailing-12-month capex growth (vs. the prior 12 months) against trailing-12-month revenue growth. Is elevated spending showing up as elevated revenue, or running ahead of it?

Capex intensity by sector

Trailing-12-month capex as a share of trailing-12-month revenue, averaged across each sector's constituents.

Fastest capex growth

Trailing-12-month capex vs. the prior 12 months, highest growth first.
TickerSectorCapex GrowthCapex Intensity
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Highest capex intensity

Capex as a share of revenue, TTM — the most capital-hungry names, not necessarily the biggest spenders.
TickerSectorIntensityTTM Capex
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Biggest capex spenders

Trailing-12-month capex in dollar terms, largest first.
TickerSectorTTM CapexYoY Growth
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All companies with capex and revenue history on file

Trailing-12-month capex, capex intensity, and capex/revenue growth for the full S&P 500. The AI tag marks the six-name hyperscaler/infrastructure cohort.
Show full list
Symbol Sector TTM Capex▾ Capex Intensity▾ Capex Growth▾ Revenue Growth▾
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"Capex Growth" and "Revenue Growth" are trailing-12-month vs. the prior 12 months, and are blank for companies without 8 consecutive quarters of matched capex/revenue history.

Methodology

Data. Capex is capitalExpenditures from Alpha Vantage's quarterly CASH_FLOW statement, the same field (and the same sign convention) Free Cash Flow Yield uses. Revenue is totalRevenue from quarterly INCOME_STATEMENT, joined by exact fiscal-quarter-end date rather than re-swept here — it's read from the same 28-quarter (~7 year) history Margin & Leverage Cycle already keeps, so this page pays for one new full-index sweep (capex) instead of two. A company only counts once both series line up on at least 8 consecutive matched quarters.

The AI cohort. Six names: Microsoft, Alphabet, Amazon and Meta (the four hyperscalers whose combined capex guidance is itself a tracked market bellwether), Oracle (OCI's well-documented AI-driven capex ramp), and Micron (HBM memory fab capacity built specifically for AI accelerators). This is a judgment call, not a claim of completeness — chip designers with real AI revenue exposure but genuinely light capex of their own (Nvidia, Broadcom, AMD are largely fabless) are deliberately excluded, because their spending isn't where this page's signal shows up even though their revenue clearly is. A different, defensible list would give somewhat different numbers; the point is the shape of the trend, not this exact roster.

The structural break test. Aggregate quarterly capex intensity (sum of capex across the group ÷ sum of revenue, not an average of ratios) is regressed against a plain quarter index, split into two equal-length halves — oldest vs. most recent, matching Factor Analysis's equal-sample-size convention so neither half gets more statistical power than the other — and a Chow test asks whether the trend's slope genuinely differs between the two halves, the same test Factor Analysis runs on momentum persistence. A significant break in the AI cohort's slope, without a matching break in the rest of the index, would be real evidence of a distinct AI-driven capex cycle rather than a broad-based one. The opposite pattern, or no break in either, would argue against the "supercycle" framing.

The growth scatter. Pearson and Spearman correlation between trailing-12-month capex growth and trailing-12-month revenue growth, across every S&P 500 constituent with enough history — the same two-method check as every regression on this site. A positive, significant relationship suggests capex increases are broadly accompanying revenue growth; a weak or flat one suggests spending and monetization are, at least so far, only loosely connected across the index.

Sector and company name come from Sector Beeswarm's own weekly metadata. This page is a one-time snapshot as of the date below, not a recurring refresh, since cash flow and income statements only change when a company files a new 10-Q or 10-K.

Source: Alpha Vantage: CASH_FLOW, INCOME_STATEMENT (via Margin & Leverage Cycle), COMPANY_OVERVIEW (sector/name, via Sector Beeswarm)