Amazon shares surge as BNP Paribas raises target to $355 on AWS strength

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Reviewed by
Suketu GScanX News Team
Key Highlights

Amazon.com Inc. shares surged to a new 52-week high of $284.85 following strong second-quarter results and an upgraded price target from BNP Paribas. Analyst Nick Jones raised the target to $355, highlighting $496 billion in AWS commitments and robust operating income, despite a rise in capital expenditure guidance to $220 billion for 2026.

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Amazon.com Inc. shares gained more than 5% to trade at a new 52-week high of $284.85, driven by stronger-than-expected second-quarter results and bullish analyst commentary. BNP Paribas analyst Nick Jones raised his price forecast to $355 from $345, maintaining an Outperform rating and citing a 51% upside from the July 30 price of $235.50. The stock’s rally coincided with a broader market uptrend, where the Nasdaq rose 1.36% and the Consumer Discretionary sector gained 1.92%, reflecting improved risk appetite for growth names.

Jones highlighted Amazon’s robust operational performance, noting that the company beat expectations on both revenue and operating income. A key driver of this optimism is the massive growth in Amazon Web Services (AWS) commitments. AWS ended the quarter with $496 billion in signed customer commitments, representing more than 150% year-over-year growth and approximately 36% sequential growth. This expanding backlog supports management’s upgraded long-term vision of AWS becoming a $1 trillion revenue business, significantly larger than previous estimates.

Financial Performance and Guidance

In its second-quarter report, Amazon recorded revenue of $200.61 billion, surpassing the consensus estimate of $196.46 billion. Earnings per share reached $5.75, well above the expected $1.82. Despite these top-line and bottom-line beats, the company’s free cash flow swung to negative $7.6 billion over the trailing 12 months, down from positive $18.2 billion a year earlier. To fund ongoing expansion, particularly in AI infrastructure, Amazon raised its 2026 capital expenditure outlook to approximately $220 billion from roughly $200 billion, citing rising memory component costs.

Metric Value Context
Stock Price $284.85 New 52-week high
Analyst Target $355 Raised from $345 by BNP Paribas
Q2 Revenue $200.61 billion Beat estimate of $196.46 billion
AWS Commitments $496 billion >150% YoY growth
Free Cash Flow Negative $7.6 billion Down from positive $18.2 billion

Analyst Outlook and Market Position

Jones noted that Amazon’s AI business is tracking similarly to, or slightly better than, core AWS at a comparable stage, which helps alleviate concerns regarding return on invested capital. He also increased capital expenditure estimates in line with Amazon’s revised guidance. The analyst left full-year revenue estimates broadly unchanged but raised operating income estimates due to better-than-expected AWS profitability.

Amazon remains a heavily weighted holding in several major technology ETFs, including the First Trust Dow Jones Internet Index Fund (9.96% weight), Franklin Focused Dynamic Growth ETF (8.55% weight), and Kurv Technology Titans Select ETF (9.64% weight). This significant exposure means that inflows or outflows from these funds can trigger automatic buying or selling pressure on Amazon’s stock, amplifying price movements during periods of strong earnings reactions.

How will Amazon's increased 2026 capital expenditure outlook of $220 billion impact its free cash flow trajectory and dividend or buyback potential in the near term?

Given the $496 billion in AWS commitments, what specific infrastructure bottlenecks or supply chain risks could threaten Amazon's ability to fulfill these contracts and achieve the $1 trillion revenue target?

To what extent might the negative free cash flow swing deter institutional investors despite the strong EPS beat, particularly among those focused on cash generation metrics?

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Amazon, Alphabet Lead AI Debt Surge Linked to 20-Year High Rates

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Reviewed by
Ritika DScanX News Team
Key Highlights

Hyperscaler debt issuance is a key driver behind 20-year high Treasury yields, with Amazon and Alphabet leading a $244 billion bond issuance surge. Off-balance-sheet debt has reached $1.65 trillion, raising concerns about leverage and future returns on AI investments.

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Long-term interest rates have climbed to their highest levels in two decades, with hyperscaler debt issuance emerging as a primary driver alongside inflation and fiscal deficits. Apollo Global’s chief economist Torsten Slok identified “hyperscaler issuance” as one of three main factors behind 30-year Treasury yields reaching a 20-year high. This surge in borrowing by major technology firms is reshaping credit markets, forcing investors to assess whether artificial intelligence investments will generate returns sufficient to service the expanding debt load.

Amazon.com Inc. and Alphabet Inc. have led the borrowing spree over the past 12 months, while Meta Platforms Inc. and Oracle Corp. also rank among the largest issuers. Goldman Sachs highlighted this trend on July 20, noting that Microsoft, Amazon, Alphabet, Meta, Oracle, Nvidia Corp., and SpaceX collectively issued $244 billion in bonds this year. This volume represents 14 times the 2024 levels and more than double last year’s total, signaling a dramatic acceleration in capital raising across the sector.

The Scale of AI Borrowing

Palumbo Wealth Management described the situation as an “AI Debt Tsunami,” citing Morgan Stanley figures showing high-grade AI debt supply reached $270 billion by early July — more than double all of 2025’s total. Hyperscaler capital expenditures are projected at $650 billion to $800 billion this year and could exceed $1 trillion in 2027. This pace has outstripped free cash flow for most mega-tech firms outside of Microsoft Corp., necessitating significant external financing.

Metric Value Source
High-grade AI debt supply $270 billion Morgan Stanley
Collective bond issuance (YTD) $244 billion Goldman Sachs
Off-balance-sheet debt $1.65 trillion Nikkei Asia
Projected AI spend through 2030 $5.8 trillion Goldman Sachs

Off-balance-sheet debt, including sale-leaseback structures on data centers, has reportedly swelled to $1.65 trillion, according to Nikkei Asia, further obscuring true leverage. Goldman Sachs projects hyperscalers will spend a combined $5.8 trillion on AI infrastructure through 2030, a figure that will keep pressuring credit markets and long-term Treasury yields for years to come.

Market Reaction and Leverage Risks

The rapid increase in borrowing has altered market dynamics significantly. Hyperscaler leverage ratios doubled from 0.9x to 1.8x in roughly six months, according to Goldman Sachs. Concurrently, the bond market’s pain threshold has shrunk from $75 billion to just $25 billion, indicating reduced investor appetite for large-scale issuances at current yields. Credit-default-swap spreads on major tech issuers have widened sharply as investors assess the risk-reward profile of these massive capital expenditures.

What the Numbers Show

Despite the broader strain on the AI ecosystem, Goldman Sachs singled out Microsoft and Alphabet for retaining “fortress” balance sheets and strong free cash flow. This divergence suggests that while the sector-wide debt load is driving up systemic rates, individual company fundamentals vary widely. The concentration of issuance among a few dominant players highlights how their financing needs are disproportionately influencing global interest rate benchmarks, creating a feedback loop where higher rates increase the cost of servicing the very debt being issued to fund future growth.

How might the widening credit-default-swap spreads for major tech issuers signal a potential shift in investor sentiment toward the broader AI infrastructure sector?

What regulatory or accounting changes could emerge to address the growing opacity of off-balance-sheet debt, such as sale-leaseback structures, in hyperscaler financial reporting?

If AI-driven revenue growth fails to match the projected $5.8 trillion in infrastructure spending by 2030, which specific hyperscalers are most vulnerable to a debt servicing crisis?

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