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This is the point where 'private' becomes 'public'. It gives the market its first real look under the hood of companies like OpenAI, SpaceX and a new wave of ASX hopefuls.
An initial public offering (IPO) is when a private company offers its shares to the public for the first time. Before an IPO, shares are usually held only by founders, early employees and private investors but going public opens those shares to a broader market.
For traders, IPOs may be the first opportunity to gain direct exposure to a company's stock. They can create a unique environment of elevated volatility and heightened interest, but they also carry higher risk because price history is limited and sentiment can shift quickly.
Global IPO proceeds in 2025, up 39% year on year
Combined estimated valuation of top 2026 IPO candidates
Global listings in 2025, the sharpest rebound since the post-pandemic boom
| Company | Estimated valuation | Exchange | Status |
|---|---|---|---|
Imported item 3 | ~US$350 billion | Nasdaq | Rumoured |
Imported item 4 | ~US$140 billion | NYSE/Nasdaq | Rumoured |
Imported item 5 | ~US$134 billion | Nasdaq | Expected |
Imported item 6 | ~US$7.9 billion | Nasdaq and ASX CDI | Expected |
Imported item 7 | ~A$6 billion | ASX | Expected |
Imported item 8 | ~A$4 billion plus | ASX | Rumoured |
OpenAI Artificial intelligence | ~US$850 billion | Nasdaq | Expected |
SpaceX | ~US$1.5 trillion | Nasdaq | Expected |
How a listing works
By listing day, institutional investors have usually already assessed the company. Understanding the six-stage process helps traders see what may already be reflected in the price before the stock opens to the broader market.
The company selects an underwriter to assess its finances, corporate structure and market positioning.
Underwriters conduct due diligence and lodge disclosure documents with the relevant regulator.
Executives pitch to institutional investors and analysts. This is where demand is built and price expectations are set, before retail traders ever see the stock.
Based on roadshow feedback, underwriters set the final share price and decide how many shares will be issued.
Shares begin trading on the chosen exchange. For most traders, this is the first chance to trade the stock.
Now public, the company must publish financial results regularly and meet the governance standards of its exchange.
Trading IPOs with CFDs
IPO listing day is often defined by large sentiment swings and thin price history. That combination can make traditional buy-and-hold exposure harder to manage. CFDs let traders take a view on either side of the move, size positions precisely and act quickly as the story develops.
Trade the initial surge or the post-hype correction. CFDs let you take a position in either direction from listing day onward.
IPO volatility tends to compress into the first days and weeks. CFDs are well suited to these shorter, event-driven windows
Stop loss and limit orders can help define your risk beforeentry, which matters when price discovery is still unfolding.
Access share CFDs across US and Australian markets, including names like Rokt and Firmus Technologies, from one account.
Access US and Australian share CFDs with fast execution, competitive pricing, and built-in risk management tools.
Access US and Australian share CFDs with fast execution, competitive pricing, and built-in risk management tools.
The “resilient consumer” line being recycled across earnings calls is doing a lot of work. Index-level data helps it along. Headline retail sales hold. Spending looks firm. Stop reading there and the story looks simple.
But it is not.
Underneath sits a split-screen economy, the K-shape, where one consumer is carried by asset wealth, US large-cap exposure and the AI rally, while another is stuck with the less glamorous arithmetic of petrol, credit card minimums and a car loan that gets harder to service with each statement.
For CFD traders, the average is the problem. What matters is which side of the K a stock, sector or currency pair is exposed to, because that is where margins, earnings guidance, single-stock CFDs, index performance, commodities and FX may start telling a more divided story.
The "K" is just a chart shape. One arm angles up. The other angles down. Apply that shape to households and you get a workable model of who is benefiting from the current cycle, and who is being squeezed by it.
The upper arm, where asset wealth is doing the heavy liftingThe upper arm is asset-rich. These households own homes, hold the bulk of equity exposure and have benefited from the AI-linked rally in US large-cap equities. Net worth has been rising faster than inflation, which means their spending may be less price-sensitive and less reliant on borrowing. Roughly 87 per cent of all US equities sit with the top 10 per cent of households and that concentration matters when markets rally, because the wealth effect lands in fewer pockets than people assume.
The lower arm tells a different story. With official US inflation still around 3.7 per cent, lower-income earners are spending more on essentials and falling back on credit. Auto loan delinquencies have climbed to their highest level since 2010.
That is not a recession signal on its own. It is a strain signal. And because strain rarely stays neatly contained, it can start to show up in the spending mix before it shows up in the headline data.
The clue markets cannot ignoreThe punchline is this: the top 20 per cent of US earners now account for more than 60 per cent of total retail spend. Once you internalise that, a lot of consumer-stock charts start to make more sense.
Prepare for upcoming events and review your approach before trading.
The split is not new, after all markets have seen versions of this before, because every few cycles, the same uncomfortable pattern comes back into view: one part of the consumer economy keeps moving, while another starts to drag.
The K-shape is not new. What is different in 2026 is the speed and concentration of the upper arm. AI-linked equity wealth has supercharged the asset-rich consumer faster than in any earlier dispersion cycles.
Top 5 per cent income growth ran 4.1 per cent a year. Equity ownership began to concentrate significantly, marking the first modern iteration of the split.
Around 95 per cent of recovery gains went to the top 1 per cent. The bottom 80 per cent of wealth holders lost 39 per cent. Stocks rebounded aggressively while housing remained stagnant.
Stimulus briefly narrowed the K-shape. However, the subsequent equity surge saw the top 10 per cent capture roughly 90 per cent of all corporate equity gains.
The top 10 per cent now drives about 49 per cent of total consumer spending—the highest share since 1989. AI-linked equities have structurally accelerated the upper arm at record speed.
Aggregate data, such as headline retail sales, total consumer credit and broad index moves, averages everyone together. In a single-consumer economy, that average is useful but in a K-shaped economy, the average can mislead. What matters is which side of the K a company sits on and whether the price reflects that.
That changes the way three things behave.
1. Dispersion: Two stocks in the same sector can post very different earnings depending on who their customer is. An index move can mask that. A single-stock CFD does not. A luxury retailer and a value retailer may both sit inside the consumer universe, but they are not trading the same household balance sheet. A premium travel name and a budget operator may both report on travel demand, but the customer mix can make the earnings story very different.
For traders, the sector label is only the first layer. The customer base is the second.
2. Margin pressure: Companies serving the lower arm may be increasingly forced to discount. PepsiCo, for example, has cut prices on certain snack lines by around 15 per cent. Margin compression at the bottom often does not show up in headline beats. It can show up later in guidance.
That is where CFD traders need to be careful with the first read. A company can beat revenue expectations and still guide cautiously if it had to protect volume with promotions, price cuts or weaker margins.
3. Credit signals: Big banks publish their own K-shaped commentary every quarter. JPMorgan’s recent quarterly update flagged that higher-income borrowers are holding up while lower-income cohorts are showing more strain in credit card charge-offs. JPMorgan reported managed revenue of US$50.5 billion in its most recent quarter. The headline is one thing. The K-shaped colour commentary inside the release is another.
That kind of language has, in past cycles, preceded a wider repricing of consumer-facing names. It does not guarantee one this time.
One way to analyse the K-consumer theme is to compare companies in pairs rather than looking only at single names. This is not about deciding which stock is good or bad. It is an illustrative way to compare how different customer bases may influence market commentary and price behaviour.
Source attribution and disclaimer: Data and examples are drawn from S&P Global Market Intelligence, Federal Reserve Distributional Financial Accounts, ASX company announcements, RBA household credit data, PepsiCo’s February 2026 strategic update and Wesfarmers’ 2026 half-year results. Companies are categorised by their primary revenue-generating demographic based on recent annual reporting. The “CFD Trader’s Watchlist” is provided for general information and educational commentary only. Company names are used to illustrate the “K-shaped consumer” theme and are not financial advice, a recommendation, or a solicitation to buy, sell or hold any security, CFD, derivative or other financial product.
For Australian CFD traders, the K-consumer theme can reach local screens through three channels the US names alone do not capture:
The APAC tab in the watchlist maps the K onto Australian consumer names. Wesfarmers does most of the heavy lifting, because Kmart and Bunnings sit on opposite arms of the same business. Endeavour and Coles play discretionary against defensive in staples. Flight Centre and Webjet do the same in travel. Macquarie and Latitude split the credit story.
The upper arm is not only a US story. LVMH, Hermès and Richemont sit downstream of the high-end Chinese consumer. A softer luxury read in Asia can move broader risk appetite, mining sentiment and AUD/USD before it shows up in US data, which is why luxury can be an early signal.
A stretched US lower arm may push the Federal Reserve toward a more dovish stance. That could pressure the US dollar and support AUD/USD, depending on commodity sentiment and the RBA. The K-consumer story is not always a retail story. Sometimes it shows up in FX first.
Bank charge-off rates and discretionary retailer guidance start to confirm or unwind the dispersion narrative.
AI-linked equity gains keep feeding the wealth effect at the top end.
The next consumer credit report shows further deterioration in lower-income cohorts.
Fed commentary on financial conditions, US consumer credit prints, bank earnings language and ASX consumer names.
The K persists into mid-year, with broad indices continuing to mask it.
Rate cuts begin lifting both arms unevenly, with rate-sensitive, lower-income households getting some relief.
A sustained Brent move above US$120 pressures mid-tier discretionary spend and forces earnings downgrades.
Fed dot plot revisions, oil supply shocks, retailer guidance, China luxury demand, AUD/USD and mining sentiment.
Scenario disclaimer: The “Next 30 days” and “Next 3 months” scenarios are illustrative “what-if” models for stress-testing a market thesis and identifying potential catalysts. They are not a house view, forecast, guarantee, or prediction of future market movement. Any Brent price targets, Fed policy references, or other market benchmarks are hypothetical only.
If the AI rally rolls over, upper-arm spending could weaken faster than the data has suggested.
Luxury demand can weaken if China's high-end consumer slows.
If energy prices fall rather than spike, the lower-arm squeeze eases and the dispersion trade unwinds.
AUD/USD can move against expectations if commodity prices fall or the RBA deviates from global policy paths.
By the time a theme is widely discussed, much of the move may already be priced into the instruments.
CFDs are leveraged. Wider dispersion can mean larger gap risk around earnings and tighter conditions for stop placement.
General information only. Scenarios are illustrative. Real-world conditions are subject to volatility and unforeseen shifts.
The K is not a forecast. It is a lens. It forces the question headline data ignores: whose consumer am I actually trading?
For CFD traders, answering that can be the difference between an index move and a single-stock CFD that tells the opposite story.
The next test is threefold:
The work is not to predict the break. It is to decide your response before it happens. By the time the headline lands, the price, and the opportunity, may have already moved.
Next week: Tesla, AI infrastructure and how the same dispersion logic plays out one layer up the stack.
Stay sharp with watchlists, charts and alerts as conditions change.
We have spent the last three instalments of this series mapping the plumbing of the 2026 economy: the banks that anchor the capital, the utilities that supply the electrons, and the chipmakers building the silicon. As the April reporting season moves into its final act, attention shifts to the front door.
Meta, Amazon and Apple sit at the point where the AI buildout meets everyday consumers and businesses.
A hard divide, sometimes called the “Great Dispersion”, is opening between companies that enable AI and companies that monetise it. Meta and Amazon are at the centre of a massive capital expenditure (capex) cycle, against an estimated industry-wide spend of roughly US$650 billion to US$700 billion in 2026.
That is why return on investment (ROI) metrics are front of mind.
In 2026, the question is no longer only who can build the data centres. It is who can turn those investments into sustainable, high-margin profit. With energy markets calmer after the recent ceasefire, technology valuations have had some room to breathe. Now the market wants evidence.
IMPORTANT: REPORTING SCHEDULES CAN CHANGE WITHOUT NOTICE. REPORTING DATES AND RELEASE TIMES ARE FROM COMPANY INVESTOR RELATIONS CALENDARS WHERE MARKED CONFIRMED; OTHERWISE THEY ARE GO MARKETS ESTIMATES. CONSENSUS EPS, REVENUE AND ANALYST-RANGE DATA ARE FROM THIRD-PARTY MARKET CONSENSUS SOURCES, AS OF 20 APRIL 2026 (AEST). COMPANY GUIDANCE, BACKLOG AND OPERATING METRICS ARE FROM THE LATEST COMPANY FILINGS OR RESULTS PRESENTATIONS UNLESS STATED OTHERWISE. FIGURES AND SCHEDULES MAY CHANGE WITHOUT NOTICE.
Global Release Countdown (AMC)
What is MTIA 2nm? This is Meta's "home-grown" AI chip. The 2nm refers to ultra-advanced, high-efficiency technology. By building their own silicon with Broadcom, Meta aims to slash their massive electricity bills and end their total reliance on buying expensive NVIDIA hardware. If this works, it protects Meta's profit margins even if they keep spending billions on AI.
Meta has moved from its "Year of Efficiency" into what CEO Mark Zuckerberg calls the "Era of Personal Superintelligence". By April 2026, AI appears to have sharpened the company’s core advertising engine, with some reports suggesting ad click rates rose by around 3% to 5%. But the bigger strategic issue is Meta’s multi-year Broadcom partnership to co-develop custom 2nm MTIA chips, with the aim of reducing reliance on NVIDIA and lowering operating costs over time. The risk is that Meta could beat on earnings and still disappoint if management points to higher spending and a longer payoff period. The real question is whether efficiency gains are keeping pace with the capital expenditure (capex) bill.
Sources: Reporting dates and release times are from company investor relations calendars where marked Confirmed; otherwise they are GO Markets estimates. Consensus EPS, revenue and analyst-range data are sourced from Bloomberg and Earnings Whispers, as at 20 April 2026 (AEST). Company guidance, backlog and operating metrics are sourced from the latest company filings or results presentations. Any scenario analysis reflects GO Markets analysis. Figures and schedules may change without notice.
As the "show me the money" year unfolds, discover how AI demand is impacting Tesla, NextEra, and Exxon.
Amazon is no longer just a retail story. It is increasingly a cloud and advertising business, with a thin-margin logistics network attached. In 2026, the narrative is centred on what reports have described as a roughly US$200 billion capex plan, aimed largely at building out AWS’s AI infrastructure.
Global Release Countdown (AMC)
Amazon is no longer primarily a retail story. In 2026, the narrative centres on approximately US$200 billion in planned capex, directed largely at building out AWS's AI infrastructure. That is an extraordinary commitment, and the market is watching closely to see whether the returns are following. One metric matters most: AWS growth.
Sources: Reporting dates and release times are from company investor relations calendars where marked Confirmed; otherwise they are GO Markets estimates. Consensus EPS, revenue and analyst-range data are sourced from Bloomberg and Earnings Whispers, as at 20 April 2026 (AEST). Company guidance, backlog and operating metrics are sourced from the latest company filings or results presentations. Any scenario analysis reflects GO Markets analysis. Figures and schedules may change without notice.
Apple has looked like the defensive favourite in hardware, helped by record free cash flow (FCF) of US$43.64 billion and the strength of its Services segment. But the latest debate is whether that defensive status can turn back into growth. Third-party shipment data has indicated a roughly 20% rise in China for iPhone 17, challenging the idea that the market is already mature.
Global Release Countdown (AMC)
Apple is still widely seen as a quality print, but expectations are higher now. Margin resilience alone is no longer enough. The market wants evidence that Apple Intelligence, the company’s on-device AI platform, can extend the upgrade cycle and support more recurring, high-margin Services revenue over time.
Sources: Reporting dates and release times are from company investor relations calendars where marked Confirmed; otherwise they are GO Markets estimates. Consensus EPS, revenue and analyst-range data are sourced from Bloomberg and Earnings Whispers, as at 20 April 2026 (AEST). Company guidance, backlog and operating metrics are sourced from the latest company filings or results presentations. Any scenario analysis reflects GO Markets analysis. Figures and schedules may change without notice.
Three risks could change the narrative, regardless of how the numbers print.
Meta and Amazon are both running enormous capex programmes, with payoff periods that stretch well beyond a single quarter. If either company delivers an in line or weaker result while also lifting full year spending guidance, the market may start to see the gap between investment and return as a structural issue rather than a temporary one. That would matter for the sector as a whole, not just for one stock.
Apple's China story has shown some resilience in third party data, but it remains sensitive to trade policy, consumer confidence and local competition. Any signal from management that demand is softening faster than expected, or that local rivals are gaining meaningful share in the mid range and premium segments, could reset the earnings growth outlook more quickly than consensus currently assumes.
In a market where higher income consumers are holding up while lower income groups remain under pressure, ad spending patterns and device upgrade cycles can diverge sharply from headline averages. If Meta's ad pricing weakens because smaller businesses pull back, or if Apple's upgrade cycle is concentrated within a narrower demographic, results could disappoint even with broadly stable macro conditions.
As this earnings season moves towards its close, the story is shifting away from survival and towards operational execution in the intelligence era.
AI ad efficiency is facing its biggest test yet. Can the Broadcom silicon bet start to show up in margins?
AWS re-acceleration remains the critical signal. A US$200 billion capex push needs a growth rate to match.
Quality still needs proof. Apple Intelligence has to show it can extend the upgrade cycle, not just refresh it.
For Meta, Amazon and Apple, the test is whether heavy investment in silicon, models and infrastructure is turning into measurable cash flow and durable margins. In a more uneven economy, the market appears to be rewarding companies that can show real demand and clearer monetisation. The earnings numbers matter, but management commentary on the return on that investment may matter more.
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April's US earnings season is landing in a market that wants more than a good story. JPMorgan has already set a high bar with a strong result, and attention is now shifting to the engine room of the S&P 500: AI infrastructure where three companies are at the centre of that story.
Microsoft, Alphabet and NVIDIA are not just participants in the AI cycle, they are building the physical and software architecture that other companies depend on: the chips, the cloud regions, the models and the tools. If this spending is going to deliver returns, the first signs may start to show in their quarterly results over the next few weeks.
Each company represents a different test.
In 2026, the question is no longer whether AI investment is happening, the capital commitments are substantial and already publicly stated. The question is whether that spending is generating returns quickly enough to justify the scale of those bets.
IMPORTANT: REPORTING SCHEDULES CAN CHANGE WITHOUT NOTICE. REPORTING DATES AND RELEASE TIMES ARE FROM COMPANY INVESTOR RELATIONS CALENDARS WHERE MARKED CONFIRMED; OTHERWISE THEY ARE GO MARKETS ESTIMATES. CONSENSUS EPS, REVENUE AND ANALYST-RANGE DATA ARE FROM THIRD-PARTY MARKET CONSENSUS SOURCES, AS OF 16 APRIL 2026 (AEST). COMPANY GUIDANCE, BACKLOG AND OPERATING METRICS ARE FROM THE LATEST COMPANY FILINGS OR RESULTS PRESENTATIONS UNLESS STATED OTHERWISE. FIGURES AND SCHEDULES MAY CHANGE WITHOUT NOTICE.
Global Release Countdown (AMC)
Microsoft is being tested on a specific question: can it turn heavy AI spending into margin expansion? A result above US$4.14 could ease concerns over "capex fatigue" and demonstrate whether Azure growth is re-accelerating alongside enterprise AI adoption.
Sources: Reporting dates and release times are from company investor relations calendars where marked Confirmed; otherwise they are GO Markets estimates. Consensus EPS, revenue and analyst-range data are sourced from Bloomberg and Earnings Whispers, as at 16 April 2026 (AEST). Company guidance, backlog and operating metrics are sourced from the latest company filings or results presentations. Any scenario analysis reflects GO Markets analysis. Figures and schedules may change without notice.
As the "show me the money" year unfolds, discover how AI demand is impacting Tesla, NextEra, and Exxon.
Alphabet has transformed from a search business into a sprawling AI infrastructure play, and this result will test whether that transformation is delivering. The US$185 billion capex forecast for 2026 is extraordinary, close to double last year's spending.
EPS is expected to decline slightly year on year, precisely because that infrastructure spending is consuming capital. The question is whether Google Cloud's growth is fast enough to show a credible path back to margin recovery, and whether Ironwood, the seventh-generation custom AI chip, is proving its cost-per-query advantage at scale.
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Alphabet has shifted to being viewed as a broader AI infrastructure play. The question is whether Cloud growth can support a path back to margin recovery while the massive US$185bn infrastructure buildout absorbs capital.
Sources: Reporting dates and release times are from company investor relations calendars where marked Confirmed; otherwise they are GO Markets estimates. Consensus EPS, revenue and analyst-range data are sourced from Bloomberg and Earnings Whispers, as at 16 April 2026 (AEST). Company guidance, backlog and operating metrics are sourced from the latest company filings or results presentations. Any scenario analysis reflects GO Markets analysis. Figures and schedules may change without notice.
NVIDIA is no longer simply a chip company. It has become what analysts now describe as the central bank of compute, the entity whose product determines how much AI capacity the world can actually deploy.
The upcoming Q1 FY2027 result will test whether the new Vera Rubin R100 GPU architecture, which entered mass production ahead of schedule, is already contributing to revenue, and whether NVIDIA can sustain gross margins above 75% as inference, rather than training, becomes the dominant workload. Inference is more competitive and more price-sensitive than training, so margin resilience here matters.
Global Release Countdown (AMC)
NVIDIA’s outlook depends on whether Rubin R100 can keep gross margins above 75% as inference becomes a bigger part of demand. Because inference is more price-sensitive than training, margins are the key test.
Sources: Reporting dates and release times are from company investor relations calendars where marked Confirmed; otherwise they are GO Markets estimates. Consensus EPS, revenue and analyst-range data are sourced from Bloomberg and Earnings Whispers, as at 16 April 2026 (AEST). Company guidance, backlog and operating metrics are sourced from the latest company filings or results presentations. Any scenario analysis reflects GO Markets analysis. Figures and schedules may change without notice.
Three risks could change the narrative regardless of how the numbers print. Each one is worth understanding before the results land.
If both Microsoft and Alphabet report in line or below expectations while reaffirming enormous spending plans, the market may start pricing the risk that AI monetisation is slower than the spending implies. That is not a stock-specific concern. It would be a broader de-rating event, affecting the valuations of companies across the technology sector.
The FTC investigation into Microsoft, the DOJ case against Alphabet, and emerging EU scrutiny of NVIDIA's CUDA software ecosystem are all active. A material legal development before the earnings calls could overshadow the financial results entirely. Regulatory risk in this sector is not theoretical. It is live and moving.
Microsoft's Maia 200 chip, Alphabet's Ironwood TPU, Amazon's Trainium and Meta's custom accelerators are all reducing how much the large cloud companies depend on NVIDIA hardware. If any of these companies signals a meaningful shift in its GPU procurement plans, that could create uncertainty around NVIDIA's forward order book.
Microsoft and Alphabet report on the same evening, 29 April. NVIDIA follows in late May. Together, they offer the clearest read yet on whether the AI infrastructure buildout is generating returns fast enough to justify the extraordinary scale of capital being committed.
AI spend is shifting from cost to competitive advantage. The question is whether margins can follow.
Vertical integration from chips to search to cloud may prove to be a moat, or an expensive position to defend.
This is the pulse of the AI hardware cycle, and a test of whether Rubin can keep the supercycle alive into 2027.
Taken together, they offer a read on a market that looks more physical, more capital-intensive and, for many traders, more real.
Stay ahead of major beats, misses, and market surprises. Log in to your terminal, open a new account, or explore our dedicated earnings academy.
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April’s US earnings season is arriving in a market that is asking harder questions. It is no longer enough for companies to tell a good story. Traders want to see whether the physical side of the next cycle is turning into real revenue, steadier margins and clearer guidance.
That is why Tesla, NextEra Energy and Exxon Mobil matter this month. Each sits close to a theme the market is trying to price right now: autonomy, electricity demand and oil supply risk. They are very different businesses, but together they offer a useful read on where attention may be shifting when the market wants something more tangible.
In 2026, those signals are colliding with a high-friction backdrop:
The broader theme here is simple. AI still matters. Growth still matters. But this earnings season may also test the companies supplying the power, infrastructure and fuel behind that story.
For beginner to intermediate traders, this matters because these stocks can move for very different reasons. Tesla can trade on margins and product narrative. NextEra can trade on power demand and capital spending plans. Exxon can move with crude, refining margins and buyback confidence. Looking at them together gives traders a clearer way to think about how the market is pricing the real economy side of the 2026 story.
IMPORTANT: REPORTING SCHEDULES CAN CHANGE WITHOUT NOTICE. REPORTING DATES AND RELEASE TIMES ARE FROM COMPANY INVESTOR RELATIONS CALENDARS WHERE MARKED CONFIRMED; OTHERWISE THEY ARE GO MARKETS ESTIMATES. CONSENSUS EPS, REVENUE AND ANALYST-RANGE DATA ARE FROM THIRD-PARTY MARKET CONSENSUS SOURCES, AS OF 14 APRIL 2026 (AEST). COMPANY GUIDANCE, BACKLOG AND OPERATING METRICS ARE FROM THE LATEST COMPANY FILINGS OR RESULTS PRESENTATIONS UNLESS STATED OTHERWISE. FIGURES AND SCHEDULES MAY CHANGE WITHOUT NOTICE.
Global Release Countdown (AMC)
The US$0.16 analyst range shows there is still a lot of uncertainty. The main question is how weaker vehicle deliveries compare with stronger, higher-margin energy storage contributions. A result above US$0.48 would suggest the autonomy and battery story is improving faster than the bear case expects.
Sources & Data Methodology Sources: Reporting dates and release times are from company investor relations calendars where marked Confirmed; otherwise they are GO Markets estimates. Consensus EPS, revenue and analyst-range data are sourced from Bloomberg and Earnings Whispers, as at 14 April 2026 (AEDT). Company guidance, backlog and operating metrics are sourced from the latest company filings, results presentations or investor relations materials unless stated otherwise. Any scenario analysis reflects GO Markets analysis. Figures and schedules may change without notice.
If Tesla is the market’s test of whether physical AI can become a business, NextEra is a test of whether the power buildout behind AI is starting to show up more clearly in utility economics.
That is what makes the shift from Tesla to NextEra interesting. One is about ambition and platform narrative. The other is about power, contracts, infrastructure and return on capital.
Global Release Countdown (BMO)
Against the 2026 ‘year of proof’ theme, the key issue is whether upcoming results turn strategic announcements into clearer execution signals. NextEra is a test of whether the power buildout behind AI is starting to show up clearly in utility economics.
Sources: Reporting dates and release times are from company investor relations calendars where marked Confirmed; otherwise they are GO Markets estimates. Consensus EPS, revenue and analyst-range data are sourced from Bloomberg and Earnings Whispers, as at 13 April 2026 (AEST). Company guidance, backlog and operating metrics are sourced from the latest company filings or results presentations. Any scenario analysis reflects GO Markets analysis. Figures and schedules may change without notice.
If NextEra reflects the electricity side of the real economy story, Exxon Mobil reflects the fuel side. That matters in a market where supply risk can still reset inflation expectations, shift sector leadership and change how traders think about defensiveness.
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Exxon is the clearest oil-linked test in the market. The key issue is whether stronger oil and gas pricing can outweigh volume disruptions (6% production hit) and massive negative timing effects from Energy Products.
Sources: Reporting dates from company investor relations (Estimated for April 29, BMO). Consensus EPS and analyst-range data from Bloomberg and Earnings Whispers as at 13 April 2026 (AEDT). Scenario analysis reflects evaluateions of internal energy considerations. Figures and schedules are subject to change without notice.
Stay ahead of major beats, misses, and market surprises. Log in to your terminal, open a new account, or explore our dedicated earnings academy.
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So here is the thing: April’s US earnings season is arriving in a market that still feels anything but normal. As GO Markets explains in The global US earnings playbook: The essential guide for traders, this reporting period is landing after a real shift in what markets care about. It is no longer just about chasing growth at any cost. It is about what the numbers are saying beneath the surface.
And in 2026, those signals are colliding with a high-friction backdrop:
Yes, AI is still the market’s main story but it's still the flashy engine getting most of the attention. But underneath that, there is a quieter move towards companies that look built to hold up better when conditions get harder.
When rates are uncertain and energy markets are under pressure, names like JPMorgan Chase and the major defence contractors start to carry more weight. They are not replacing the AI narrative, rather, they are becoming part of the way traders read risk appetite, earnings durability and, ultimately, where the market is looking for something more solid to hold on to.
Global Release Countdown (BMO)
The analyst spread of US$0.68 signals genuine disagreement about how the rate environment is flowing through to margins. A result above consensus but below the high end estimate may produce a muted reaction. A result above US$5.70 may shift the discussion.
Reaction trigger to watch: The market response in the first 30 minutes after the result may indicate which scenario traders are leaning towards. A move above the prior session high on volume may support the bull case. A fade back into the range after an initial pop may point to the base case. A break below the prior session low on volume may suggest the bear case is gaining traction.
Sources & Data Methodology Sources: Reporting dates and release times are from company investor relations calendars where marked Confirmed; otherwise they are GO Markets estimates. Consensus EPS, revenue and analyst-range data are sourced from Bloomberg and Earnings Whispers, as at 7 April 2026 (AEDT). Company guidance, backlog and operating metrics are sourced from the latest company filings, results presentations or investor relations materials unless stated otherwise. Any scenario analysis reflects GO Markets analysis. Figures and schedules may change without notice.
If JPMorgan gives the market an early read on the consumer, credit quality and business activity, the defence names may be telling a different story. This is the point where the focus may start to shift from the credit cycle to government-backed demand.
In a market still shaped by geopolitical risk, that matters. Long-dated programs can help support revenue visibility, even when the broader outlook looks less certain. That is one reason the sector remains on the watchlist.
Global Release Countdown (BMO)
The consensus sits near the lower end of the analyst range. That positioning may leave room for upside if backlog growth and F-35 delivery timelines support execution. A print near the high end, above US$7.10, may extend the move, although the reaction would still depend on guidance and margins.
Reaction trigger to watch: The market response in the first 30 minutes after the result may indicate which scenario traders are leaning towards. A move above the prior session high on volume may support the bull case. A fade back into the range after an initial pop may point to the base case. A break below the prior session low on volume may suggest the bear case is gaining traction.
Sources & Data Methodology Sources: Reporting dates and release times are from company investor relations calendars where marked Confirmed; otherwise they are GO Markets estimates. Consensus EPS, revenue and analyst-range data are sourced from Bloomberg and Earnings Whispers, as at 7 April 2026 (AEDT). Company guidance, backlog and operating metrics are sourced from the latest company filings, results presentations or investor relations materials unless stated otherwise. Any scenario analysis reflects GO Markets analysis. Figures and schedules may change without notice.
Lockheed Martin and Northrop Grumman may sit in the same defence bucket, but the market does not always read them the same way. Lockheed is more closely tied to the F-35 and current air combat demand. Northrop is more closely linked to next-generation programs such as the B-21 Raider and Sentinel.
That gives this section its contrast. One is often read through the lens of current defence demand. The other is more closely tied to longer-cycle strategic modernisation.
Global Release Countdown (BMO)
The consensus sits near the lower end of the analyst range. That offers a quick visual for whether the result is merely in line or strong enough to ease the guidance concerns that weighed on the stock after its last update. A result above US$7.20 may shift the conversation more materially.
Reaction trigger to watch: The market response in the first 30 minutes after the result may indicate which scenario traders are leaning towards. A move above the prior session high on volume may support the bull case. A fade back into the range after an initial pop may point to the base case. A break below the prior session low on volume may suggest the bear case is gaining traction.
Sources & Data Methodology Sources: Reporting dates and release times are from company investor relations calendars where marked Confirmed; otherwise they are GO Markets estimates. Consensus EPS, revenue and analyst-range data are sourced from Bloomberg and Earnings Whispers, as at 7 April 2026 (AEDT). Company guidance, backlog and operating metrics are sourced from the latest company filings, results presentations or investor relations materials unless stated otherwise. Any scenario analysis reflects GO Markets analysis. Figures and schedules may change without notice.
In a market shaped by geopolitical risk and shifting rate expectations, companies with visible demand and longer-cycle revenue may continue to attract attention. But sentiment can still turn quickly if valuations are stretched, rate expectations shift again, or tensions in the Middle East ease.
That is why the story still needs to be tested against the numbers, not just the narrative. GO Markets will be analysing more companies throughout this earnings season. For more updates, visit our earnings page, follow our social media channels, or check the weekly newsletters.
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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 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.
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.
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.
Net interest margin (NIM) under higher for longer rates, and whether AI spending remains cost neutral.
F-35 delivery schedules and the company's ability to absorb tariff related costs on supply chain inputs.
B-21 Raider production progress and the conversion of its reported US$95.7 billion backlog into recognised revenue.
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.
The strategic shift from EV margins toward robotaxi and energy storage as the new growth narrative.
Data centre power demand and progress on its reported 30 GW contracted backlog as utilities face new infrastructure pressure.
Permian and Guyana volume growth, and cash flow resilience during the Hormuz supply disruption.
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.
Azure and Cloud capacity constraints against heavy AI capital expenditure. The gap between spending and utilisation is the market's primary concern.
Blackwell GPU demand and gross margin sustainability as the product cycle matures and competition intensifies.
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.
AI-driven ad click improvements against Reality Labs spending and retail logistics costs as the profitability test for non-core investment.
iPhone upgrade cycle momentum and the Apple Intelligence rollout in China as the first real-world test of AI-driven hardware demand.
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.
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.
Identify the single variable analysts are most focused on this cycle: capital expenditure versus margins, inventory turnover, customer growth rate, or contract backlog conversion.
A beat, meet or miss each carries a different market dynamic.
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.
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.
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.
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.
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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References to companies, IPO candidates, valuations, exchanges, sectors and markets are illustrative only, based on publicly available information at the time of publication, and may change without notice. A proposed listing may be delayed, amended or cancelled, and inclusion on this page does not imply that a company will list, or that any share or CFD will be available to trade through GO Markets.