The financial headlines of 2026 have been dominated by a single, staggering figure: $600 billion. That is the projected aggregate capital expenditure of the US Hyperscalers; Microsoft, Alphabet, Meta, and Amazon. To the casual observer, this looks like an arms race with no ceasefire in sight. To the sceptic, it looks like the over investment calamities of 1999 returning to haunt US Technology.
When you look at the underlying capital efficiency, a different story emerges. This isn't a speculative bubble, it is the most well funded infrastructure build out in recent times. Managed by companies with a proven capital efficiency guardrail. Superior Return on Equity (ROE) and Return on Invested Capital (ROIC).
The Quality Guardrail: ROE vs The Spend
The primary fear is that massive capex will lead to margin shredding, large amounts of indebtedness and a sharp halt in EPS growth. Historically, when a company increases its investment in physical assets, its return ratios typically compress. Yet, the US technology giants continue to defy gravity.
If we look at the Magnificent 7, the average Return on Equity (ROE) remains above 30%, compared to the S&P 500 average of approximately 19%.
Table 1 – Return on Equity of the largest 7 stocks in the S&P 500 vs S&P 500 average
Chart 1 - 5-Year Trend of Aggregate Capex vs. ROE for Mag 7
Source: Bloomberg February 2026
This divergence is critical. For every dollar these companies reinvest, they are generating a return far exceeding their cost of capital. They aren't just spending, they are compounding.
This is Not 1999: The Self Funding Reality
The comparison to the dot-com era fiber optic glut falls apart under the weight of the balance sheets. In 1999, tech spending was largely fuelled by external debt. In 2026, this capex cycle is being backed almost entirely by operating cash flow.
Chart 2 – The indebtedness of Mega Cap companies over the last 5 years
Source: Bloomberg February 2026. Where Net Debt is the sum of the company's liabilities and debts with its cash and other similar liquid assets
Even after accounting for these historic investment levels, the Free Cash Flow (FCF) margins of the top tier US tech names remain robust. They are building the railroads using their own assets, not borrowing capital it cannot repay. Furthermore, unlike the 90s telecommunications, who built pipes for others to use, these firms are the primary customers of their own infrastructure. Meta uses its chips to refine its own advertising stack, Microsoft uses its data centres to power its own software-as-a-service. The utilisation is internalised.
ROIC: The Ultimate Management Scorecard
While ROE captures the shareholder view, Return on Invested Capital (ROIC) tells us how efficiently management is deploying all available resources. For a sector shifting from asset light to asset heavy, ROIC is the true source of truth.
Chart 3 - ROIC Comparison: Tech Giants vs. Traditional Industrial/Energy Peers
Source: Bloomberg February 2026. Where ROIC is 100 x (T12M Net operating profit after tax / Average invested capital)
These mega cap companies have spent the last decade optimising their margins to the point where they can now afford the hardware phase of the AI revolution without diluting their fundamental quality.
The Harvest Phase: What Comes Next?
There is always a lag between a capex spike and the subsequent reacceleration in earnings. As the 2026 build out matures, we expect to see significant operating leverage. Once the infrastructure is in place, the marginal cost of serving the next AI query or cloud instance drops significantly. Investors who exit now because of capex fears risk missing the high margin tailwinds that follow.
Investing in Capital Efficiency: HUGE, BEST and WWWW
The challenge for investors is no longer identifying the trend, it’s navigating the concentration. While the rewards of this capex cycle are immense, so is the execution risk in the build out.
Investors looking to capture this structural shift can gain diversified exposure through our US focused ETFs:
- BEST: This ETF is designed for investors seeking exposure to companies that exhibit the highest Return on Invested Capital and Free Cash Flow Margin.
- HUGE: Designed for those who want exposure to the global leaders with resilient ROE and cash flow profiles. It targets the Hyperscalers whose capital discipline remains a core pillar of their growth strategy.
- WWWW: Provides exposure to the broader technology ecosystem, capturing the beneficiaries of that $600 billion spend. From semiconductors to software.
Chart 4 – Total Return of BEST, HUGE, WWWW compared to broad US markets
Source: Bloomberg February 2026
Past performance is not a reliable indicator of future performance
By using an ETF structure, investors gain a basket of stocks that are systematically screened based on pre-determined parameters. It allows the investor to participate in the AI cycle without the volatility inherent in backing a single balance sheet.
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The issuer of units in ETFS Magnificent 7+ ETF (HUGE)(ARSN: 685 356 183), ETFS US Quality ETF (BEST)(ARSN: 685 149 464) and ETFS US Technology ETF (WWWW) (ARSN: 685 355 971 is the responsible entity of the Fund, being ETF Shares Management Limited (ABN 77 680 639 963, AFSL: 562 766).
The product disclosure statement (PDS) and Target Market Determination (TMD) for the Fund contains all of the details of the offer of units in the Fund. Copies of the PDS and TMD are available from ETF Shares Management Limited or at www.etfshares.com.au.
The information provided in this document is general in nature only and does not take into account your personal objectives, financial situation or needs. Before acting on any information in this email, you should consider the appropriateness of the of the information having regards to your objectives, financial situation or needs and consider seeking independent financial, legal, tax and other relevant advice.
Investment in any product issued by ETFS are subject to investment risk, including possible delays in repayment and loss of income and principal invested. The value or return of an investment will fluctuate and an investor may lose some or all of their investment. Past performance is not a reliable indicator of future performance
