The global US earnings playbook: The essential guide for traders
GO Markets
31/3/2026
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If you have been watching markets over the past year, you will have noticed that the "growth at any cost" era has effectively hit a wall. The April 2026 earnings cycle arrives at a moment when the market's focus has undergone a structural reorientation. It is not just about profit and loss statements anymore. It is about the signals sitting behind them.
With interest rate uncertainty lingering and geopolitical shocks pushing oil above US$100, the playbook has shifted from AI hype toward institutional resilience and the industrialisation of compute. For traders in Australia, Asia and Latin America, these results may act as a mood ring for global risk appetite and the emerging security supercycle.
Important - Dates, Times and Figures
All earnings dates marked as confirmed or estimated should be verified against current company investor relations calendars before you act on them. Reporting schedules can change without notice due to corporate decisions, regulatory requirements or exchange timetable adjustments.
The mechanics: How the timing works across time zones
The US earnings season does not arrive as a smooth drip. It arrives in waves. For non-US traders, the primary challenge is the overnight gap: major results land while you are away from your desk and can move index CFDs before your local market opens. Before market open (BMO) and after market close (AMC) matter just as much as the numbers themselves. The timing changes how quickly markets react, when liquidity is available and whether the first move has already happened before your session begins.
Why BMO and AMC matter
A BMO result hits before the US cash market opens, so price discovery happens in pre-market trading where liquidity is thinner and moves can be exaggerated. An AMC result hits after close, meaning the reaction is compressed into a short pre-market window the following morning. Understanding which window your company reports in is as important as understanding what it reports.
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For this cycle, the market is no longer rewarding AI mentions alone. It is looking for return on investment (ROI) proof. The four thematic snapshots below help explain where attention is likely to sit as results come through. Each theme has its own section with company cards that can be updated each quarter.
T1
Theme 1 — Institutional anchors
Defence against volatility
These companies are often watched as relative defensives during energy shocks and inflation spikes, although they remain exposed to normal share-price risk. When macro uncertainty rises, money has historically rotated toward businesses with contracted revenue, government-linked demand or pricing power that is not dependent on the consumer cycle — but past rotation patterns do not guarantee future performance.
JPM
JPMorgan Chase
Tuesday, 14 AprilConfirmed
Watch For
Net interest margin (NIM) under higher for longer rates, and whether AI spending remains cost neutral.
LMT
Lockheed Martin
Wednesday, 22 AprilEstimated
Watch For
F-35 delivery schedules and the company's ability to absorb tariff related costs on supply chain inputs.
NOC
Northrop Grumman
Monday, 27 AprilConfirmed
Watch For
B-21 Raider production progress and the conversion of its reported US$95.7 billion backlog into recognised revenue.
T2
Theme 2 — Tangible capital
EVs and energy
As parts of tech slow, investors have been rotating toward tangible, capital-intensive businesses. The energy transition and the infrastructure required to support AI data centre power demand have put utilities and energy companies in an unusual position: they are now growth stocks with defensive characteristics — though all remain subject to ordinary equity and sector risk.
TSLA
Tesla
Thursday, 23 AprilConfirmed
Watch For
The strategic shift from EV margins toward robotaxi and energy storage as the new growth narrative.
NEE
NextEra Energy
Friday, 24 AprilEstimated
Watch For
Data centre power demand and progress on its reported 30 GW contracted backlog as utilities face new infrastructure pressure.
XOM
Exxon Mobil
Wednesday, 29 AprilEstimated
Watch For
Permian and Guyana volume growth, and cash flow resilience during the Hormuz supply disruption.
T3
Theme 3 — The hardware invoice phase
AI infrastructure
This is the engine room of the S&P 500 and the part of the market most tied to whether AI capital expenditure is generating measurable returns. The question the market is now asking is not whether these companies are spending on AI. It is whether the spending is translating into capacity utilisation and revenue that justifies the multiple.
MSFT / GOOGL
Microsoft and Alphabet
Monday, 27 AprilEstimated
Watch For
Azure and Cloud capacity constraints against heavy AI capital expenditure. The gap between spending and utilisation is the market's primary concern.
NVDA
NVIDIA
Wednesday, 27 MayEstimated
Watch For
Blackwell GPU demand and gross margin sustainability as the product cycle matures and competition intensifies.
T4
Theme 4 — K-shaped recovery
Consumer platforms and devices
This theme tests the K-shaped consumer recovery: higher-income cohorts remain more resilient while lower-income cohorts face continued pressure from elevated borrowing costs and energy prices. Ad revenue and device upgrade cycles are the clearest indicators of where on the K-curve the consumer sits.
META / AMZN
Meta and Amazon
28 to 29 AprilEstimated
Watch For
AI-driven ad click improvements against Reality Labs spending and retail logistics costs as the profitability test for non-core investment.
AAPL
Apple
Thursday, 30 AprilEstimated
Watch For
iPhone upgrade cycle momentum and the Apple Intelligence rollout in China as the first real-world test of AI-driven hardware demand.
Analysis checklist: how to read each result
Use this structure for every company on your watchlist. A headline beat is common. The bigger market move often comes from how the market translates the details sitting behind the number.
1
Projected consensus
This is the bar for earnings per share (EPS) and revenue. Small beats may already be priced in. The market often sets a whisper number above the published consensus, so a technically positive result can still disappoint.
2
The call focus
Identify the single variable analysts are most focused on this cycle: capital expenditure versus margins, inventory turnover, customer growth rate, or contract backlog conversion.
3
The translation
A beat, meet or miss each carries a different market dynamic.
Beat
Matters most when forward guidance is credible. Without it, the initial move may reverse.
Meet
Often shifts focus to the tone of the call, particularly language around capacity or outlook.
Miss
Can be treated as the start of a trend and trigger a sharp repricing of valuation multiples.
The recency bias problem
The emotional trap many traders fall into is recency bias. Because the Magnificent 7 have led markets for so long, it can feel as though they are still the only trade that matters. That assumption deserves to be tested.
It's worth asking: Is the obvious trade already priced for perfection?
2026 is shaping up as a year of proof. Companies that spent heavily on AI over the past two years are now being asked to show the return. The market is no longer rewarding the announcement of AI investment. It is rewarding the evidence of AI-driven revenue outcomes.
A better framing question for each result is this: are you reacting to a headline, or are you assessing the company's role in the physical AI supply chain or as a potential volatility hedge? Those are very different analytical tasks, and they tend to produce very different positioning decisions.
What to watch next
Three time horizons, three distinct signals. Update these each cycle with the most relevant near-term catalyst, the sector rotation to watch, and the longer-horizon dispersion theme.
Next Two Weeks
Consumer health barometer
Watch the 31 March Nike report as a lead indicator for consumer discretionary health. Footwear and apparel demand signals tend to front-run broader retail sentiment.
Next 30 Days
Bank lending and industrial demand
Focus shifts to the major banks. If loan demand tied to industrial and infrastructure projects remains firm, the earnings cycle may have support beyond the tech sector.
Next 60 Days
Wider dispersion between winners and losers
Watch for dispersion to widen. The companies converting heavy capital expenditure into measurable revenue outcomes may separate clearly from those that cannot.
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Disclaimer: Articles are from GO Markets analysts and contributors and are based on their independent analysis or personal experiences. Views, opinions or trading styles expressed are their own, and should not be taken as either representative of or shared by GO Markets. Advice, if any, is of a ‘general’ nature and not based on your personal objectives, financial situation or needs. Consider how appropriate the advice, if any, is to your objectives, financial situation and needs, before acting on the advice. If the advice relates to acquiring a particular financial product, you should obtain our Disclosure Statement (DS) and other legal documents available on our website for that product before making any decisions.
The AI boom is creating a power race that extends far beyond chips and software. Tesla, NextEra Energy and ExxonMobil sit across three parts of the physical infrastructure supporting it.
Which Big Tech business is turning AI investment into revenue? Compare Meta, Amazon and Apple this earnings season.
The first phase of the artificial intelligence (AI) cycle belonged to the infrastructure builders. Chip designers, cloud architects and power grid operators laid the physical foundation.
Now, that phase is not over, but Q2 2026 is asking a harder question given that so much has been built, is it producing returns?
Meta Platforms, Amazon and Apple represent the consumer and enterprise interface of the AI economy. They are where markets are looking for the AI spending that has defined two years of market narrative to appear as durable revenue and expanding margins.
Their results over the next week could provide some of the clearest evidence yet on whether that translation is happening.
Three questions running through the consumer interface
Is AI improving core revenue?
For Meta, that means advertising conversion rates. For Amazon, it means AWS growth and retail margins. For Apple, it means whether AI is supporting a meaningful iPhone upgrade cycle.
Can margins absorb the cost?
All three companies are carrying elevated infrastructure or component costs. Whether those costs remain manageable or begin compressing margins is the central financial test for each result.
What does guidance reveal?
A headline beat can still be followed by a weaker market reaction if management signals higher spending without a corresponding increase in revenue expectations. Forward commentary may matter more than the reported numbers.
For traders, the headline beat or miss may matter. The details may matter more. A strong result could still receive a cautious reaction if capital expenditure (capex) is rising faster than revenue, margins are under pressure or management cannot demonstrate a clear path from AI investment to recurring commercial returns.
NASDAQ | Technology and advertising | Social media and consumer AI
00d : 00h : 00m : 00s
Wednesday, 29 July 2026 | 4:00 pm EDT (AMC)
Expectations
RevenueUS$60.19B
EPSUS$7.13 - US$7.17
ConsensusExpected beat
Third-party consensus estimates are for the quarter ended June 2026.
Global release
Australia AESTThu 30 Jul | 6:00 am
Asia UTC+8Thu 30 Jul | 4:00 am
Latin America UTC-6Wed 29 Jul | 2:00 pm
Times are estimates based on the expected earnings release and may change.
Key trends affecting Meta
Advantage+ and advertising efficiency: Meta’s AI-powered advertising suite was reported to have reached an annualised run rate of approximately US$60 billion. Markets may focus on whether efficiency gains are being sustained and whether the platform continues to attract new advertiser spending.
Watch: Advertising revenue growth and Advantage+ conversion rates
Reality Labs costs: Virtual and augmented reality operations generated operating losses estimated to have exceeded US$16 billion in earlier periods. Markets look for spending discipline or signs that costs are beginning to moderate.
Watch: Reality Labs operating loss and cost trajectory
Compute-leasing potential: Reports indicate Meta is discussing leasing data centre capacity to external AI developers, with one potential arrangement reportedly valued at up to US$10 billion.
Watch: Management commentary on compute monetisation
Capex escalation versus free cash flow: Full-year 2026 capex guidance of US$125 billion to US$145 billion may test investor confidence if revenue growth does not clearly outpace component cost inflation.
Monitor: Free cash flow conversion and the capex to revenue ratio
Advertising revenue grows ahead of consensus, with Advantage+ adoption exceeding management’s expectations. Reality Labs losses show signs of moderating. Management provides direct commentary on its compute-leasing framework.
Possible market reaction: The result could support Meta shares if it demonstrates that the advertising engine is sustaining efficiency gains.
■ Meet scenario
EPS between US$7.10 and US$7.25 | Advertising in line and capex holds
Advertising revenue meets consensus expectations, with steady conversion rates and stable pricing. No formal compute-leasing arrangement is announced, leaving markets to assess infrastructure on advertising economics alone.
Possible market reaction: Trading may remain range-bound while markets wait for clearer evidence that infrastructure outlay generates non-ad returns.
▼ Miss scenario
EPS below US$7.05 | Component costs compress margins and ad demand softens
Rising advanced-memory and infrastructure component costs compress operating margins. Advertising pricing shows softness, while management raises the full-year capex range without clear near-term monetisation metrics.
Possible market reaction: Share price could come under pressure if the result raises questions about durable shareholder returns.
From social advertising to cloud infrastructure
Meta is testing whether AI can strengthen an existing business while opening a new one. Amazon is testing a more capital-intensive question: Is its infrastructure spending producing cloud revenue quickly enough to support the scale of the commitment?
NASDAQ | Technology, retail and cloud | AWS, e-commerce and advertising
00d : 00h : 00m : 00s
Thursday, 30 July 2026 | 4:00 pm EDT (AMC)
Expectations
RevenueUS$196.90B
EPSUS$1.82
ConsensusExpected beat
Third-party consensus estimates are for the quarter ended June 2026.
Global release
Australia AESTFri 31 Jul | 6:00 am
Asia UTC+8Fri 31 Jul | 4:00 am
Latin America UTC-6Thu 30 Jul | 2:00 pm
Times are estimates based on the expected earnings release and may change.
Key trends affecting Amazon
AWS re-acceleration: AWS revenue grew 28% YoY in Q1 2026. With a leadership transition underway, markets focus on whether the business is re-accelerating towards the 30% range as enterprise AI workloads migrate to the cloud.
Watch: AWS revenue growth compared with the 28% prior-quarter level
Custom silicon commitments: Graviton, Trainium and Nitro processor platforms reached an annualised run rate of ~US$20 billion. Trainium 3 capacity is reported nearly fully subscribed, helping reduce dependence on third-party silicon margins.
Watch: Custom silicon adoption and the AWS operating margin
Retail margin resilience under tariff pressure: Amazon’s value-led pricing protects retail volumes. Prime Day activity across 23 countries during Q2 provides a near-term indicator of global consumer spending conditions amidst tariff impacts.
Watch: Retail operating margin and Prime Day performance
Project Kuiper and capex trajectory: Full-year capex is tracking towards ~US$200 billion. Q2 results absorb roughly US$11 billion in sequential satellite production and launch outlays.
Monitor: Free cash flow and Project Kuiper cost absorption
AWS cloud growth re-accelerates above 30%, supported by custom silicon demand and enterprise AI migration. Retail margins improve through logistics efficiency gains, while Project Kuiper costs stay within budget.
Possible market reaction: The result could support Amazon shares and broader cloud sector sentiment.
■ Meet scenario
EPS near US$1.82 | AWS holds near 28% and retail margins remain stable
AWS growth remains broadly near its prior-quarter level. E-commerce margins remain flat under tariff pressure, and the US$200 billion capex commitment is reaffirmed without material upward revision.
Possible market reaction: Price action may remain relatively stable, with market attention shifting to Apple’s result.
AWS margins contract under infrastructure depreciation costs and slower custom silicon adoption. Consumer discretionary spending shows softening, pressuring retail volumes.
Possible market reaction: Share price could weaken if the result raises concerns over AWS growth absorbing rising costs.
From cloud infrastructure to the device in your pocket
Meta and Amazon are both running large capex programs while markets wait for clearer evidence of the returns. Apple is different. Its AI strategy is designed to operate within the margin structure of its existing hardware business rather than sit alongside it as an additional infrastructure cost.
NASDAQ | Consumer technology | Hardware, software and services
00d : 00h : 00m : 00s
Thursday, 30 July 2026 | 4:30 pm EDT (AMC)
Expectations
RevenueUS$108.58B - US$108.79B
EPSUS$1.88 - US$1.97
ConsensusExpected beat
Third-party consensus estimates are for the quarter ended June 2026.
Global release
Australia AESTFri 31 Jul | 6:30 am
Asia UTC+8Fri 31 Jul | 4:30 am
Latin America UTC-6Thu 30 Jul | 2:30 pm
Times are estimates based on the expected earnings release and may change.
Key trends affecting Apple
Edge AI hardware and the iPhone upgrade cycle: Apple Intelligence uses a hybrid processing model that completes AI tasks locally. Shipment data suggested iPhone 17 unit growth in China of ~24% YoY, testing whether that momentum translates into reported revenue.
Watch: iPhone revenue and upgrade-cycle indicators
Greater China market share: China’s approval of Alibaba’s Qwen model locally reduced regulatory friction. Markets watch if Apple sustains market-share gains against domestic competitors like Huawei.
Watch: Greater China segment revenue and unit trends
Global memory costs and gross margin: Advanced-memory tightness pressures component costs for premium inputs. Management guided gross margin of 47.5% to 48.5% for the quarter.
Watch: Gross margin compared with the 47.5% to 48.5% guidance range
Foldable iPhone production and Services growth: Supply chain data points to increasing production targets for a foldable iPhone model towards 10 million units, while Services approaches a US$30 billion quarterly revenue run rate.
Watch: Services revenue growth and foldable iPhone commentary
Earnings reaction framework
▲ Beat scenario
EPS above US$1.97 | China momentum holds and Services accelerates
iPhone revenue comes in above expectations, with Greater China translating shipment growth into recognised revenue. Services growth remains in high teens and gross margin holds at/above the top end of 47.5% to 48.5% guidance.
Possible market reaction: The result could support Apple shares and signal sustained consumer hardware demand.
■ Meet scenario
EPS between US$1.85 and US$1.94 | iPhone demand steady and margins in range
iPhone demand tracks broadly in line with expectations. Services growth follows expected seasonal patterns, while gross margin lands within the guided range.
Possible market reaction: Shares could trade near recent levels, with focus remaining on Services and foldable timelines.
▼ Miss scenario
EPS below US$1.80 | Memory costs squeeze margins and China momentum fades
Higher advanced-memory component costs compress product gross margins below the guided range. Greater China revenue growth slows or reverses as domestic competitors regain market share.
Possible market reaction: The share price could come under pressure if upgrade demand proves shorter-lived.
Three companies, one question
Meta, Amazon and Apple represent three different models for converting AI investment into commercial returns and together they carry substantial combined weight in the Nasdaq 100 and S&P 500. Strong results across all three could reinforce expectations for the second half of 2026 and support broader technology sector valuations.
Conversely, if margins compress under rising memory and infrastructure costs while guidance softens, the AI ROI narrative supporting part of the current market premium may face a more direct test.
NASDAQ | Technology and advertising | Search, cloud and AI infrastructure
00d : 00h : 00m : 00s
Wednesday, 22 July 2026 | 4:00 pm EDT (AMC)
Expectations
RevenueUS$119.8B
EPSUS$9.11
ConsensusBeat
Third-party consensus estimates for the quarter ended June 2026.
Global release
Australia AESTThu 23 Jul | 6:00 am
Asia UTC+8Thu 23 Jul | 4:00 am
Latin America UTC-6Wed 22 Jul | 2:00 pm
Times are estimates based on the expected earnings release time and may change.
Key trends affecting assets
Google Cloud backlog conversion: Google Cloud’s contracted backlog exceeded US$460 billion in the prior quarter, while revenue grew 63% year on year (YoY). The focus is on how quickly that backlog converts into recognised revenue.
Watch: Cloud revenue growth and backlog conversion
Search and YouTube advertising resilience: The bulk of Alphabet’s revenue remains tied to advertising. More than 30% of customers’ Search spending now uses AI-enabled campaigns such as Performance Max.
Watch: Search cost per click (CPC), impression growth and AI campaign adoption
Capex and margin trajectory: Alphabet’s higher infrastructure investment may place pressure on free cash flow as the company expands its AI capacity. Markets want evidence that this spending produces measurable revenue.
Monitor: Free cash flow yield and the capex-to-revenue ratio
US Department of Justice antitrust proceedings: The DOJ has secured remedies addressing search distribution and distribution agreements. Management commentary on implementation and potential additional relief may influence market pricing parameters.
Watch: DOJ developments and management commentary on remedies
Earnings reaction framework
▲ Beat scenario
EPS above US$2.88 | Cloud conversion accelerates
Google Cloud revenue grows materially above consensus expectations. Search advertising demand holds firm despite competition from AI-native search products, and Waymo provides an additional positive datapoint on commercialisation.
Possible reaction: The result could support Alphabet shares and broader tech sentiment.
■ Meet scenario
EPS between US$2.87 and US$2.88 | Cloud grows and advertising remains steady
Operational metrics land broadly in line with consensus. Cloud revenue tracks expected paths but doesn't accelerate. Search remains near prior trends while capex guidance is reiterated.
Possible reaction: Trading may remain relatively subdued, with attention shifting to Microsoft’s result.
▼ Miss scenario
EPS below US$2.87 | Capex overshoots and advertising softens
Capex comes in materially above prior guidance, pressing free cash flow without corresponding expansion in revenue outlooks. Search pricing shows competitive pressure from AI-native alternatives.
Possible reaction: Alphabet shares could come under pressure as markets reassess economic returns.
From search and custom silicon to enterprise software
Alphabet owns search, advertising, cloud and the chips that support all three. Microsoft sits at the enterprise deployment layer. Alphabet’s result may test whether vertical integration remains an advantage. Microsoft’s result may test whether AI can be sold at scale across cloud infrastructure and workplace software.
NASDAQ | Technology | Enterprise software and cloud
00d : 00h : 00m : 00s
Wednesday, 29 July 2026 | 4:10 pm EDT (AMC)
Expectations
RevenueUS$86.7B - US$87.8B
EPSUS$4.24 - US$4.28
ConsensusBeat expected
Third-party consensus estimates for the quarter ended June 2026.
Global release
Australia AESTThu 30 Jul | 6:10 am
Asia UTC+8Thu 30 Jul | 4:10 am
Latin America UTC-6Wed 29 Jul | 2:10 pm
Times are estimates based on the expected earnings release time and may change.
Key trends affecting assets
Azure growth compared with capex: Microsoft expects Azure revenue growth of 39% to 40% in constant currency for the quarter, while investing approximately US$190 billion in capex during calendar year 2026. The focus is on whether this spending is translating into cloud revenue.
Watch: Azure constant-currency growth compared with the 39% to 40% guidance range
Agentic AI and Copilot adoption: Following Microsoft Build 2026 and the introduction of Microsoft Scout, traders will scan the earnings call for evidence of commercial traction. Paid seat growth and ARPU will indicate whether enterprise adoption is expanding.
Watch: Copilot seat growth and ARPU
Gross margin direction: Higher infrastructure costs associated with data centre expansion may place pressure on software-driven margins. Whether gross margin expands or contracts will be an important metric.
Monitor: Intelligent Cloud segment gross margin
Regulatory backdrop: The FTC has examined partnerships between cloud providers and AI developers, including Microsoft and OpenAI. Management commentary on regulatory developments may affect longer-term growth assumptions.
Watch: Regulatory commentary affecting cloud and AI partnerships
Possible reaction: The result may support broader tech sentiment if AI spending translates to cloud revenue at scale.
■ Meet scenario
EPS between US$4.24 and US$4.28 | Cloud remains steady and guidance holds
Azure grows in line with expectations, while Copilot adoption progresses without changing near-term structural metrics. Capex pathing is maintained with standard constructive corporate tracking.
Possible reaction: Trading may remain range-bound, shifting execution focus onto Nvidia later in August.
▼ Miss scenario
EPS below US$4.24 | Capex runs ahead of revenue and margins soften
Azure growth decelerates materially while gross margin compresses under infrastructure operations outlays. Management raises spending outlooks without expanding the revenue frame.
Possible reaction: The result may place pressure on Nasdaq 100 sentiment given Microsoft's underlying weight profile.
Citigroup Inc. US earnings playbook - Executive ledger edition
Where cloud demand meets chip supply
Microsoft and Alphabet provide a view of demand across cloud infrastructure, enterprise software and AI services. Nvidia supplies much of the hardware supporting that demand, while major hyperscalers continue to develop their own alternatives in an intense AI chip war.
Nvidia’s update may help show whether spending across the software and cloud layers is continuing to flow into chip demand.
NASDAQ | Semiconductors | AI chips and data centre infrastructure
00d : 00h : 00m : 00s
Wednesday, 26 August 2026 | 4:20 pm EDT (AMC)
Expectations
Revenue GuidanceUS$91B
EPSUS$2.08
ConsensusBeat expected
Revenue guidance from management. EPS based on consensus data as at July 2026.
Global release
Australia AESTThu 27 Aug | 6:20 am
Asia UTC+8Thu 27 Aug | 4:20 am
Latin America UTC-6Wed 26 Aug | 2:20 pm
Release times are GO Markets estimates and may change.
Key trends affecting assets
Blackwell and Vera Rubin supply constraints: Demand for Nvidia’s Blackwell architecture and the announced Vera Rubin platform remains a key focus. An important variable is advanced packaging capacity, including TSMC’s CoWoS process capacity crunch, which could limit the pace of the production ramp, even if underlying demand remains strong.
Watch: Blackwell supply growth and CoWoS packaging availability
Gross margin sustainability: Nvidia delivered a generally accepted accounting principles (GAAP) gross margin of 74.9% in the prior quarter. Analysts will monitor whether pricing, product mix and production costs can sustain margins near this level as advanced architectures enter larger-scale production and hyperscalers expand their own custom silicon programs.
Watch: Data Centre gross margin compared with 74%
Sovereign AI demand: Governments across Europe, the Middle East and Asia-Pacific are investing in domestic AI infrastructure. These customers may have different procurement priorities, project structures and implementation timelines from major hyperscalers. Growing sovereign AI orders could broaden Nvidia’s addressable market and reduce its reliance on a small group of large customers.
Watch: Sovereign and non-hyperscaler order visibility
Custom silicon competition: Microsoft’s Maia platform, Alphabet’s Ironwood tensor processing unit, Amazon’s Trainium and Meta’s custom accelerators could reduce hyperscaler dependence on Nvidia hardware over time. The pace at which these alternatives affect graphics processing unit procurement remains a long-term variable. Management commentary on data centre demand, backlog and forward commitments may provide further evidence.
Monitor: Data centre demand and forward order commentary
Revenue comes in materially above Nvidia’s US$91 billion guided midpoint, suggesting that the Blackwell production ramp is progressing ahead of packaging constraints. Gross margin holds above 74%. Management provides early visibility on Vera Rubin orders. Sovereign AI is identified as a growing revenue contributor, potentially reducing customer concentration.
Possible reaction: The result could support Nasdaq 100 sentiment and reinforce expectations for continued AI infrastructure investment across the semiconductor sector.
■ Meet scenario
Revenue near US$91 billion | Supply remains on schedule and margins hold
Revenue lands at or near the guided midpoint. Gross margin remains close to 74%. The Blackwell ramp progresses without material supply disruption. Management reiterates demand visibility for the next two quarters without materially raising or reducing guidance.
Possible reaction: Trading may remain range-bound as markets wait for further evidence that the current revenue trajectory can continue into FY2028.
Revenue falls below the guided range, with management citing CoWoS packaging constraints or slower-than-expected Blackwell qualification among hyperscaler customers. Gross margin falls below 72%. Forward data centre revenue guidance is also reduced.
Possible reaction: Given Nvidia’s S&P 500 weighting, a material miss could cause an index-level reaction that extends beyond semiconductors and leads markets to reassess the wider AI hardware cycle.
Where the AI money is moving
The money is moving through three layers of the AI economy: chips, cloud infrastructure and enterprise software.
Nvidia is capturing spending at the hardware layer as companies invest in the processors and systems needed to build and run AI. Microsoft is capturing demand through Azure and paid AI tools such as Copilot. Alphabet is capturing it through Google Cloud, search and advertising products supported by AI.
Together, the three companies show how the AI boom is being monetised. Nvidia benefits from the infrastructure build-out, while Microsoft and Alphabet are positioned to convert that capacity into cloud, software and advertising revenue.
What the results may reveal
The AI boom is not being captured by one company or one part of the market. The money is moving from chips into cloud capacity, then into software, advertising and enterprise tools. Nvidia, Microsoft and Alphabet each sit at a different point in that flow.
Their results show which layer is capturing the most demand, whether that demand is becoming recurring revenue and where rising costs or slower adoption could begin to limit returns.
They also indicate whether spending remains concentrated in infrastructure or is beginning to produce broader, recurring revenue across the AI stack. That distinction could help show which companies are capturing the strongest commercial benefit and where the next pressure points may emerge.
Why headline beats may not be enough
Strong headline earnings may not tell the full story. The more important signal could be whether AI-related revenue is growing fast enough to offset rising capital expenditure, infrastructure costs and margin pressure.
A company may beat revenue or earnings expectations but still face a negative market reaction if guidance weakens or management cannot show a clearer path from AI investment to recurring revenue.
The AI boom is creating a power race that extends far beyond chips and software. Tesla, NextEra Energy and ExxonMobil sit across three parts of the physical infrastructure supporting it.
How AI connects technology, utilities and energy
There is a version of the artificial intelligence (AI) story that lives entirely in the cloud: language models, inference endpoints and software subscriptions. That version matters. But there is another version that cannot operate without electricity grids, battery systems and barrels of crude oil.
Why Tesla, NextEra and ExxonMobil belong in the same story
Hyperscalers build AI data centres
Microsoft, Google, Amazon and Meta are committing hundreds of billions of dollars to computing infrastructure. That computing power requires more electricity than many existing grids were designed to supply.
Utilities connect the grid
NextEra Energy is signing power purchase agreements (PPAs) with hyperscalers at scale. Clean, contracted and long-duration power is measured across years, while grid connection timelines may also extend well beyond a single reporting period.
Oil supports the existing energy system
While renewable infrastructure is being built, the global economy continues to rely on hydrocarbons. ExxonMobil’s Permian and Guyana production may help bridge the energy requirements of the current economy and its longer-term transition.
The Q2 2026 earnings calendar has already delivered its first read on macro credit conditions through the banks. Attention now turns to the real economy. Three companies reporting over the next three weeks represent the physical capital expenditure sitting beneath AI workloads: Tesla, NextEra Energy and ExxonMobil. They are not usually grouped together.
In 2026, however, they are connected through the same chain of consequences.
Estimates gathered from third-party market data configurations for the cycle ending June 2026.
Global release
Australia AESTThu 23 Jul | 6:05 am
Asia UTC+8Thu 23 Jul | 4:05 am
LATAM UTC-6Wed 22 Jul | 2:05 pm
Timezone matrices synchronized automatically with regional local session open and close constraints.
Key trends affecting assets
Vehicle deliveries and inventory drawdown: Tesla’s 480,126 Q2 deliveries allowed the company to reduce inventory by roughly 28,000 units, reversing the build-up recorded in Q1. The key question is whether that volume came at the expense of margins. Automotive gross margin, excluding regulatory credits, remains a closely watched measure, with 17% viewed as an important reference level.
Watch: Automotive gross margin, excluding regulatory credits, compared with the 17% reference level
Megapack battery deployments: Tesla deployed 13.5 GWh in Q2, representing 40% growth year on year (YoY). This was slightly below the high end of the 13.8 GWh analyst estimate. However, the energy storage business has generated stronger margins than automotive and may partly offset pressure on vehicle margins.
Signal: Energy storage gross margin and contribution to profit and loss
Autonomy narrative and full self-driving monetisation: Tesla’s valuation reflects expectations for its AI and autonomy platform, rather than vehicle unit economics alone. Software subscription growth, full self-driving (FSD) take-up rates and clearer timelines for the Cybercab and Optimus programs are likely to be closely watched.
Monitor: FSD take-up rates and progress on software licensing
Capital expenditure escalation: Capital expenditure (capex) guidance has risen above US$25 billion for AI training clusters and factory capacity. Free cash flow is projected to remain negative through year-end. Higher capex may increase the pressure on software monetisation to support future earnings.
Target: Free cash flow outlook and capex efficiency
Earnings reaction framework
▲ Beat scenario
EPS above US$0.45 | Energy margins improve and FSD adoption rises
Investment banking recovery tracks ahead of expectations. Capital buffers absorb GSIB surcharges, supporting dividend flexibility and reinforcing confidence in advisory momentum.
Possible reaction: The result could support the share price if improved margins and clearer autonomy milestones strengthen market confidence. Reaction trigger to watch: Intraday trading behaviour during the first 30 minutes after the opening bell may provide an early indication of institutional sentiment. Strong volume above the session high could support the initial move, while reversals may point to profit-taking.
■ Meet scenario
EPS between US$0.38 and US$0.44 | Margins remain steady and the autonomy timeline is unchanged
Adjusted earnings align with the US$0.42 consensus estimate. Automotive gross margin holds near 17% and Megapack deployments remain steady. Attention may remain on the longer-term autonomy narrative rather than near-term financial performance.
Possible reaction: Trading may remain range-bound, with the market’s attention shifting to guidance and autonomy timelines. Reaction trigger to watch: Intraday trading behaviour during the first 30 minutes after the opening bell may show whether investors view the result as sufficient to support current expectations.
▼ Miss scenario
EPS below US$0.35 | Gross margin compresses and FSD timelines are delayed
Automotive gross margin falls below 16% amid vehicle discounting. Higher AI capex raises concerns about cash burn without a credible offset from software monetisation. Management provides limited detail on timelines for key autonomy programs.
Possible reaction: Selling pressure could increase if the result weakens confidence in margins, free cash flow or autonomy execution. Reaction trigger to watch: Intraday trading behaviour during the first 30 minutes after the opening bell may show whether the initial move is sustained or reversed.
From storage to the grid that powers it
Tesla’s Megapack is one part of the infrastructure chain. NextEra Energy is developing the grid capacity that an expanding AI economy may require. Its Q2 result may show whether its renewable backlog is progressing from contracted commitments to completed megawatts.
NYSE | Utilities | Renewable energy infrastructure
00d : 00h : 00m : 00s
Wednesday, 29 July 2026 | 7:30 am EDT (BMO)
Expectations
RevenueUS$8.17B - US$8.20B
EPSUS$1.08 - US$1.09
ConsensusExpected beat
Estimates gathered from third-party market data configurations for the cycle ending June 2026.
Global release
Australia AESTWed 29 Jul | 9:30 pm
Asia UTC+8Wed 29 Jul | 7:30 pm
LATAM UTC-6Wed 29 Jul | 5:30 am
Timezone matrices synchronized automatically with regional local session open and close constraints.
Key trends affecting assets
Renewables backlog growth: Rising AI data centre power demand has supported growth in corporate PPAs. NextEra’s ability to secure large-scale renewable projects remains an important driver of backlog expansion. New additions during the quarter are likely to be a key metric.
Signal: Contracted renewable energy project backlog additions
Data centre grid interconnection timelines: Delays in transmission expansion and utility-level grid connections may postpone the commercial operation dates of newly contracted projects. The company’s ability to manage these bottlenecks may influence the conversion of backlog into earnings.
Watch: Grid connection timeframes and transmission capex
Cost of capital sensitivity: NextEra’s capital-intensive buildout relies on debt markets to fund clean infrastructure. Elevated interest rates may increase financing costs. The dividend is covered at a reported 59% payout ratio, while investors are also monitoring free cash flow yields and long-term dividend capacity.
Monitor: Weighted average cost of capital and debt-to-equity leverage
New hyperscaler clean energy contracts are announced alongside faster grid interconnection timelines. Project margins improve and management indicates that backlog conversion is progressing ahead of previous guidance.
Possible reaction: The result could support the share price if stronger backlog growth and execution improve confidence in the company’s AI-related infrastructure pipeline. Reaction trigger to watch: Management commentary on the morning webcast regarding grid interconnection timelines, hyperscaler customers and the size of the data centre pipeline. Specific capacity figures and commercial operation dates may matter more than headline EPS.
■ Meet scenario
EPS between US$1.06 and US$1.08 | Project development remains consistent
Operational metrics are broadly in line with consensus. Backlog expansion tracks management’s longer-term targets and financing costs remain steady. No material new hyperscaler contracts are announced during the call.
Possible reaction: Trading may remain relatively subdued, with attention shifting to interest rates and project timelines. Reaction trigger to watch: Management commentary on grid interconnection timelines, hyperscaler customers and the data centre pipeline may shape the response beyond the headline result.
▼ Miss scenario
EPS below US$1.05 | Interconnection bottlenecks and debt costs increase
Construction delays or grid connection bottlenecks postpone project completion. Higher financing costs reduce net margins. Management is unable to provide a clear timeline for resolving transmission capacity constraints.
Possible reaction: The share price could come under pressure if delays and financing costs raise concerns about the pace of project conversion. Reaction trigger to watch: Management commentary on grid interconnection timelines and the pipeline dedicated to AI data centres. Specific capacity figures and commercial operation dates may matter more than headline EPS.
From clean energy to the hydrocarbons that fill the gap
NextEra’s renewable buildout is expanding, but grid construction is a multi-year process. While clean energy infrastructure is being installed, the global economy continues to rely on oil. ExxonMobil provides a different read on the energy system, with its result shaped by production volumes, refining margins and capital returns.
Estimates gathered from third-party market data configurations for the cycle ending June 2026.
Global release
Australia AESTFri 7 Aug | 8:30 pm
Asia UTC+8Fri 7 Aug | 6:30 pm
LATAM UTC-6Fri 7 Aug | 4:30 am
Timezone matrices synchronized automatically with regional local session open and close constraints.
Key trends affecting assets
Upstream production and pricing sensitivity: ExxonMobil’s profitability remains sensitive to global crude oil benchmarks. Production from lower-cost operations in the Permian and offshore Guyana may help offset weaker downstream refining margins during periods of commodity price softness.
Monitor: Lower-cost production volumes and upstream margins
Downstream refining margins and crack spreads: Global economic activity and refining capacity additions may affect downstream profitability. Compressed crack spreads, which measure the difference between crude oil input costs and refined product prices, may reduce integrated operating income even when upstream prices remain stable.
Watch: Global downstream refining margin index
Cash distribution floor and capital returns: ExxonMobil’s capital discipline and shareholder return framework remain central to investor sentiment. Management’s ability to maintain buybacks and dividend commitments across commodity cycles may provide a read on financial resilience in an uncertain price environment.
Target: Cash distribution capacity and free cash flow yield
Earnings reaction framework
▲ Beat scenario
EPS above US$3.76 | Production volumes outperform and crack spreads remain resilient
Permian and Guyana output exceeds expectations. Resilient downstream margins support free cash flow, allowing management to raise buyback targets or indicate an increase in the capital distribution floor.
Possible reaction: The result could support ExxonMobil and the broader energy sector if it strengthens confidence in cash generation and capital returns. Reaction trigger to watch: Management commentary on capital distributions and share buyback pacing, particularly if refining margins have weakened heading into the release. Dividend and buyback guidance may matter more than headline EPS for longer-term investors.
■ Meet scenario
EPS between US$3.70 and US$3.72 | Capital distributions remain steady
Operational results are close to consensus, with upstream production and capital returns broadly tracking schedule. Management reaffirms its shareholder distribution commitments without raising or lowering guidance.
Possible reaction: Trading may remain range-bound, with attention shifting to the Q3 oil price and refining margin outlook. Reaction trigger to watch: Management commentary on capital distributions, buyback pacing and refining margins may determine whether the initial market response is sustained.
▼ Miss scenario
EPS below US$3.70 | Refining margins narrow and Permian output is delayed
Downstream refining margins contract sharply or upstream operational delays weigh on quarterly cash flow. Any reduction in buyback pacing or dividend growth expectations may compound the initial response.
Possible reaction: The share price could weaken if the result raises concerns about cash flow durability or capital returns. Reaction trigger to watch: Management commentary on capital distributions, buyback pacing and refining margins may be more influential than headline EPS for longer-term investors.
One sector, three signals
The key cross-check is whether all three results tell the same story about the physical economy.
If Tesla’s energy storage margins are expanding, NextEra’s backlog is converting and ExxonMobil’s production is tracking expectations, the results may indicate that physical infrastructure investment is progressing across several parts of the energy chain.
If the results diverge, that divergence may reveal which part of the chain is experiencing more pressure than consensus currently expects.
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