Most watched this season
Apple • Microsoft • Alphabet • Amazon • Nvidia • Meta • Tesla
GO Marketsで米国決算シーズンを取引
米国決算シーズンには、米国上場の主要企業から決算情報が相次いで公表されます。業績、見通し、そして市場予想は短期間で変化し、個別株、セクター、さらには主要株価指数全体にボラティリティをもたらす可能性があります。
競争力のある価格設定
値動きの速い決算発表前後の取引でも、コストを意識して取引できます。
テクニカル分析ツール
チャートやインジケーターを活用して、エントリー、決済、リスクを計画しましょう。
アクティブトレード向け
高速約定と信頼性の高いプラットフォームで取引。
リスク管理機能
内蔵ツールで下落リスクを定め、ボラティリティ下でもポジションを保護できます。
行動できる時間を拡大
一部の米国株式CFDでは時間外取引に対応しており、通常の市場時間外でも追加の取引時間を確保できます。
*提供状況は銘柄により異なります。通常の市場時間外では取引条件が異なる場合があります。

今シーズンの注目
米国決算カレンダー
表示されている時刻は、オーストラリア東部標準時(GMT+10)です。決算カレンダーの設定で、タイムゾーンはいつでも変更できます。
ニュース&分析


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.
Why return on investment is now the focus
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.
- Is Meta’s AI-driven ad targeting strong enough to justify its spending programme?
- Is Amazon Web Services (AWS) re-accelerating fast enough to support the custom silicon push?
- Can Apple hold its premium valuation by showing the iPhone 17 cycle is real, even in a more difficult Chinese market?
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.
Meta Platforms, Inc.
Global Release Countdown (AMC)
Market intelligence: $META
Analysis: Meta price drivers and scenarios
Analysis: Meta price drivers and scenarios
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.
Call focus and key signals
Sentiment analysis: Meta Platforms
Interactive scenario analysis: $META
Interactive scenario analysis: $META
Spending cycle becomes productive
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.
Beyond the chipmakers
As the "show me the money" year unfolds, discover how AI demand is impacting Tesla, NextEra, and Exxon.
Amazon: the capex bet moves to centre stage
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.
Amazon.com, Inc.
Global Release Countdown (AMC)
Market Intelligence: $AMZN
Analysis: Amazon price drivers and scenarios
Analysis: Amazon price drivers and scenarios
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.
Key signals to watch
Sentiment Analysis · Amazon.com Inc.
Interactive scenario analysis: $AMZN
Interactive scenario analysis: $AMZN
Spending cycle lands well
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: quality still needs proof
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.
Apple Inc.
Global Release Countdown (AMC)
Market intelligence: $AAPL
Analysis: Apple price drivers and scenarios
Analysis: Apple price drivers and scenarios
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.
Key signals to watch
Sentiment analysis: Apple Inc.
Interactive scenario analysis: $AAPL
Interactive scenario analysis: $AAPL
Support for growth narrative
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.
Thematic risks
What could shift the picture
What could shift the picture
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.
The bottom line
The 2026 reality check
The 2026 reality check
As this earnings season moves towards its close, the story is shifting away from survival and towards operational execution in the intelligence era.
$META
AI ad efficiency is facing its biggest test yet. Can the Broadcom silicon bet start to show up in margins?
$AMZN
AWS re-acceleration remains the critical signal. A US$200 billion capex push needs a growth rate to match.
$AAPL
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.
Your next earnings setup starts here
Stay ahead of major beats, misses, and market surprises. Log in to your terminal, open a new account, or explore our dedicated earnings academy.
Need help? Contact our support team


4月の米決算シーズンは、単なる成長ストーリー以上の成果を求める市場環境の中で幕を開けました。すでにJPモルガン・チェースが好決算を発表してハードルを高く設定するなか、市場の関心はS&P 500の原動力であるAIインフラへと移っており、その中心に位置する3社へスポットライトが当たっています。
今回の決算期がAIセクターにおいて極めて重要である理由
マイクロソフト、アルファベット、エヌビディアの3社は、AIサイクルの単なる一参加者にとどまりません。他社が依存する半導体、クラウド領域、モデル、開発ツールといった物理的・ソフトウェア的なアーキテクチャそのものを構築している存在です。こうした巨額の投資が実を結びつつあるのか、その初期の兆候が今後数週間にわたって発表される各社の四半期決算から見え始める可能性があります。
3社はそれぞれ、市場にとって異なる試金石となります。
- マイクロソフト: 企業におけるAI採用の動きが、実際の収益化やマージン(利益率)の拡大に結びついているかどうか
- アルファベット: 半導体からクラウド、そして流通・配信まで、垂直統合型のフルスタックを自社保有していることが持続的な優位性となっているのか、あるいは単に防衛コストがかさむポジションにすぎないのか
- エヌビディア: ハードウェアのサイクルが依然として維持、あるいは加速しているのか、それとも頭打ちの兆し(レベリングアウト)が見え始めているのか
2026年現在、AI投資が行われているかどうかという点についてはもはや議論の余地はなく、巨額の資本投下計画(CAPEX)はすでに公表されています。現在の論点は、それらの投資がこれほど大規模な賭けを正当化できるほどのスピードでリターンを生み出しているかどうかにあります。
【重要】決算発表スケジュールは予告なく変更される場合があります。発表予定日および時間は、各社のIR(投資家向け広報)カレンダーで「確定(Confirmed)」とされているものを除き、GO Marketsによる予測値です。コンセンサスEPS、売上高、およびアナリスト予想レンジのデータは、2026年4月16日(AEST)時点のサードパーティ市場コンセンサス情報に基づきます。企業の業績見通し(ガイダンス)、受注残高、および主要経営指標は、特記のない限り、最新の決算開示書類または説明会資料に基づきます。数値およびスケジュールは予告なく変更される可能性があります。
マイクロソフト (Microsoft Corporation)
決算発表までのカウントダウン (米市場引け後)
マーケットインテリジェンス:$MSFT
分析:マイクロソフトの株価変動要因とシナリオ
分析:マイクロソフトの株価変動要因とシナリオ
マイクロソフトは「巨額のAI投資を利益率(マージン)の拡大へと転換できるか」という明確な課題に直面している。EPS(1株当たり利益)がUS$4.14を上回る結果となれば、「CAPEX(設備投資)疲労」に対する市場の懸念を和らげ、企業におけるAI導入の進展とともにAzureの成長が再加速していることを証明する可能性がある。
市場を動かす注目ファクター
センチメント分析 · マイクロソフト
インタラクティブ・シナリオ分析:$MSFT
インタラクティブ・シナリオ分析:$MSFT
強気シナリオ:AI投資の成果が顕在化する好決算
情報源:発表予定日および発表時間は、各社のIR(投資家向け広報)カレンダーで「確定(Confirmed)」とされているものを除き、GO Marketsによる予測値です。コンセンサスEPS、売上高、およびアナリスト予想レンジのデータは、2026年4月16日(AEST)時点のBloombergおよびEarnings Whispersの情報に基づいています。企業の業績見通し(ガイダンス)、受注残高、および主要経営指標は、最新の決算開示書類または説明会資料に基づきます。シナリオ分析はすべてGO Markets独自の分析を反映しています。数値およびスケジュールは予告なく変更される可能性があります。
半導体銘柄の「その先」を読む
AI投資の「真の収益化」が問われる2026年。爆発的なAI電力需要とインフラ展開が、テスラ、ネクステラ・エナジー、そしてエクソンモービルにどのような波及効果(リード・アクロス)をもたらしているのかを検証する。
アルファベット:検索から巨大AIインフラへの構造転換
アルファベットは従来の検索ビジネスから、巨大なAIインフラ銘柄(インフラ・プレイ)へと変貌を遂げた。今回の決算は、その構造転換が実際に成果を上げているかを測る試金石となる。2026年の設備投資(CAPEX)予想額である1,850億USドルは、前年のほぼ倍増となる桁外れのスケールだ。
まさにこの圧倒的なインフラ投資が資本を吸収(キャッシュを燃焼)しているため、EPS(1株当たり利益)は前年同期比で微減が予想されている。市場の焦点は、Google Cloudの成長スピードが利益率(マージン)回復への確かな道筋を示せるほど強力か、そして第7世代カスタムAIチップ「Ironwood」が大規模運用において「クエリ当たりのコスト優位性」を証明できるかどうかにかかっている。
アルファベット (Alphabet Inc.)
決算発表までのカウントダウン (米市場引け後)
マーケットインテリジェンス:$GOOGL
分析:アルファベットの株価変動要因とシナリオ
分析:アルファベットの株価変動要因とシナリオ
アルファベットは現在、単なる検索企業から「広範なAIインフラ銘柄」へと市場の評価軸がシフトしつつある。最大の焦点は、1,850億ドルという桁外れの巨大インフラ投資がフリーキャッシュフローを吸収する中で、クラウド部門の成長が利益率(マージン)回復への道筋を支え切れるかどうかにある。
市場を動かす注目ファクター
センチメント分析 · アルファベット
インタラクティブ・シナリオ分析:$GOOGL
インタラクティブ・シナリオ分析:$GOOGL
強気シナリオ:Ironwoodの効率性が上値を主導
情報源:発表予定日および発表時間は、各社のIR(投資家向け広報)カレンダーで「確定(Confirmed)」とされているものを除き、GO Marketsによる予測値です。コンセンサスEPS、売上高、およびアナリスト予想レンジのデータは、2026年4月16日(AEST)時点のBloombergおよびEarnings Whispersの情報に基づいています。企業の業績見通し(ガイダンス)、受注残高、および主要経営指標は、最新の決算開示書類または説明会資料に基づきます。シナリオ分析はすべてGO Markets独自の分析を反映しています。数値およびスケジュールは予告なく変更される可能性があります。
エヌビディア:ハードウェア・サイクルの波及効果(リード・アクロス)
エヌビディアはもはや単なる半導体メーカーではない。アナリスト陣が現在「計算リソースの中央銀行」と形容するように、同社の製品供給量が、世界で実際に稼働可能なAIキャパシティの総量を決定づける絶対的な存在となっている。
今回の2027年度第1四半期決算は、予定を前倒しして量産体制に入った次世代GPUアーキテクチャ「Vera Rubin R100」がすでに収益に寄与し始めているかを測る試金石となる。さらに、AIの主力ワークロード(処理負荷)が「学習」から「推論」へと移行する中で、同社が75%超の粗利益率(グロスマージン)を維持できるかどうかが最大の焦点となる。推論フェーズは学習フェーズに比べて市場競争が激しく、価格感応度も高いため、ここでの利益率の底堅さ(レジリエンス)の証明が極めて重要な意味を持つ。
エヌビディア (NVIDIA Corporation)
決算発表までのカウントダウン (米市場引け後)
マーケットインテリジェンス:$NVDA
分析:エヌビディアの株価変動要因とシナリオ
分析:エヌビディアの株価変動要因とシナリオ
エヌビディアの今後の見通しは、需要の中心が推論へとシフトする中で、「Rubin R100」が75%超の粗利益率(グロスマージン)を維持できるかどうかにかかっている。推論モデルは学習モデルよりも価格感応度が高いため、マージンこそが最大の試金石となる。
市場を動かす注目ファクター
センチメント分析 · エヌビディア
インタラクティブ・シナリオ分析:$NVDA
インタラクティブ・シナリオ分析:$NVDA
強気シナリオ:Rubinの立ち上げが成長を牽引
情報源:発表予定日および発表時間は、各社のIR(投資家向け広報)カレンダーで「確定(Confirmed)」とされているものを除き、GO Marketsによる予測値です。コンセンサスEPS、売上高、およびアナリスト予想レンジのデータは、2026年4月16日(AEST)時点のBloombergおよびEarnings Whispersの情報に基づいています。企業の業績見通し(ガイダンス)、受注残高、および主要経営指標は、最新の決算開示書類または説明会資料に基づきます。シナリオ分析はすべてGO Markets独自の分析を反映しています。数値およびスケジュールは予告なく変更される可能性があります。
テーマ別リスク要因
メインシナリオを覆すリスク
メインシナリオを覆すリスク
決算の数値がどうであれ、市場のナラティブ(語り口)を一変させる可能性のある3つのリスクが存在する。決算発表を前に、これらを理解しておく価値がある。
マイクロソフトとアルファベットの両社が市場予想通り、あるいはそれ以下の決算を発表しつつ、巨額の設備投資計画を維持した場合、市場は「AIの収益化は投資規模が示唆するよりも遅いのではないか」というリスクを織り込み始める可能性がある。これは個別銘柄の懸念にとどまらず、テクノロジーセクター全体のバリュエーション切り下がり(ディレーティング)を引き起こす波及イベントとなり得る。
マイクロソフトに対するFTC(米連邦取引委員会)の調査、アルファベットに対するDOJ(米司法省)の反トラスト法訴訟、そしてエヌビディアのCUDAエコシステムに対する欧州当局の監視はすべて現在進行形だ。決算発表前に重大な法的進展があれば、財務数値を完全に覆い隠してしまう可能性がある。このセクターにおける規制リスクは理論上の話ではない。リアルタイムで動いている脅威である。
マイクロソフトの「Maia 200」、アルファベットの「Ironwood TPU」、アマゾンの「Trainium」、メタのカスタムアクセラレーターはすべて、巨大クラウド企業のエヌビディア製ハードウェアへの依存度を引き下げつつある。これらの企業のいずれかがGPU調達計画の有意義な変更を示唆した場合、エヌビディアの将来の受注残に対する不確実性が生じる可能性がある。
結論(ボトムライン)
2026年のリアリティ・チェック(収益化の真贋)
2026年のリアリティ・チェック(収益化の真贋)
マイクロソフトとアルファベットは4月29日の同日夕方に決算を発表する。エヌビディアは5月下旬に続く。これら3社の決算は、AIインフラ拡充に向けた前代未聞の巨額資本投下を正当化できるほどのスピードで、投資リターンが生み出されているかどうかを測る、これまでで最も明確な試金石となる。
$MSFT
AIへの支出は「単なるコスト」から「競争優位性の源泉」へとシフトしている。問題は、それに利益率(マージン)が伴うかどうかだ。
$GOOGL
半導体から検索、クラウドに至る垂直統合モデルは、強固な「堀(モート)」となるか、あるいは維持費の高くつく防衛陣地となるかが証明される。
$NVDA
これはAIハードウェア・サイクルの鼓動(パルス)そのものであり、次世代GPU「Rubin」がこのスーパーサイクルを2027年まで維持できるかどうかのテストである。
総じて、これらはより物理的で、より資本集約的で、そして多くのトレーダーにとって「より現実味を帯びた(more real)」市場を読み解く指標となる。
.jpeg)

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:
- AI power demand is pushing utilities, storage and grid capacity into focus
- Tesla needs to show that autonomy and energy can support the next chapter beyond EV margins
- Oil supply risk has pushed energy security back into the conversation
Why this part of the market matters
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.
Tesla Inc.
Global Release Countdown (AMC)
Market Intelligence: $TSLA
Analysis: Tesla price drivers and scenarios
Analysis: Tesla price drivers and scenarios
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.
Key factors that could move the result
Trade Execution: $TSLA
Earnings reaction framework: Q1 2026
Earnings reaction framework: Q1 2026
Sentiment Analysis · Tesla Inc.
Interactive scenario analysis: $TSLA
Interactive scenario analysis: $TSLA
Strong result, helped by energy and FSD
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.
From autonomy to electricity
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.
NextEra Energy, Inc.
Global Release Countdown (BMO)
Market Intelligence: $NEE
Analysis: NEE price drivers and scenarios
Analysis: NEE price drivers and scenarios
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.
Trade Execution: $NEE
Earnings reaction framework: Q1 2026
Earnings reaction framework: Q1 2026
Key signals to watch
Sentiment Analysis · NextEra Energy
Interactive scenario analysis: $NEE
Interactive scenario analysis: $NEE
"Utility Renaissance" validates via execution signals
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.
From power to oil
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.
Exxon Mobil Corporation
Global Release Countdown (BMO)
Market Intelligence: $XOM
Analysis: XOM price drivers and scenarios
Analysis: XOM price drivers and scenarios
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.
Trade Execution: $XOM
Earnings reaction framework: Q1 2026
Earnings reaction framework: Q1 2026
Key signals to watch
Sentiment Analysis · Exxon Mobil
Interactive scenario analysis: $XOM
Interactive scenario analysis: $XOM
Pricing tailwind more than absorbed the disruption
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.
Your next earnings setup starts here
Stay ahead of major beats, misses, and market surprises. Log in to your terminal, open a new account, or explore our dedicated earnings academy.
Need help? Contact our support team


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:
- Geopolitical conflict: Ongoing tension in the Middle East
- Oil supply shock: Brent crude above US$100
- The Fed: A central bank still boxed in by sticky inflation
The durability pivot
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.
JPMorgan Chase & Co.
Global Release Countdown (BMO)
Market Intelligence: $JPM
Analysis: JPM price drivers and scenarios
Analysis: JPM price drivers and scenarios
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.
Key swing factors for the result
Trade Execution: $JPM
Earnings reaction framework: Q1 2026
Earnings reaction framework: Q1 2026
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.
Sentiment Analysis · JPMorgan Chase
Interactive scenario analysis: $JPM
Interactive scenario analysis: $JPM
AI-linked offset, beat supported by NII and ROTCE
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.
From credit to defence
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.
Lockheed Martin Corp.
Global Release Countdown (BMO)
Market Intelligence: $LMT
Analysis: LMT price drivers and scenarios
Analysis: LMT price drivers and scenarios
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.
Key swing factors for the result
Trade Execution: $LMT
Earnings reaction framework: Q1 2026
Earnings reaction framework: Q1 2026
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.
Sentiment Analysis · Lockheed Martin
Interactive scenario analysis: $LMT
Interactive scenario analysis: $LMT
Backlog and FCF confirmation may support continuation
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.
Not all defence names are the same
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.
Northrop Grumman Corp.
Global Release Countdown (BMO)
Market Intelligence: $NOC
Analysis: NOC price drivers and scenarios
Analysis: NOC price drivers and scenarios
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.
Key swing factors for the result
Trade Execution: $NOC
Earnings reaction framework: Q1 2026
Earnings reaction framework: Q1 2026
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.
Sentiment Analysis · Northrop Grumman
Interactive scenario analysis: $NOC
Interactive scenario analysis: $NOC
B-21 momentum, stronger execution and FCF support
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.
Bottom line
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.
Your next earnings setup starts here
Stay ahead of major beats, misses, and market surprises. Log in to your terminal, open a new account, or explore our dedicated earnings academy.
Need help? Contact our support team


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.
Institutional Grade Performance
Master the Markets with MetaTrader 5
Trade hundreds of instruments with superior speed and advanced technical analysis. Harness full EA functionality to execute your strategy.
Need to access your terminal? Log in to Client Portal
The key themes for Q1
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 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.
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.
Client & Education Portal
Follow the US Reporting Season
Stay ahead of major beats, misses, and market surprises. Log in to your terminal, open a new account, or explore our dedicated earnings academy.
Need help? Contact our support team


Expected earnings date: Wednesday, 25 February 2026 (US, after market close) / ~8:00 am, Thursday, 26 February 2026 (AEDT)
NVIDIA’s upcoming earnings release is expected to revolve around data centre revenue growth, the sustainability of AI-related demand, gross margin trajectory, and forward guidance into fiscal year 2027 (FY2027).
Markets are likely to focus on capital expenditure trends, supply capacity, and management’s AI infrastructure outlook.
Some market participants may also view NVIDIA’s results as a useful signal for broader AI-related investment sentiment, although outcomes can still be influenced by company-specific factors and wider market conditions.
Key areas in focus
Data centre (AI chips)
The data centre segment continues to be NVIDIA’s primary growth driver. Markets are likely to monitor revenue growth rates, gross margins, and guidance around AI accelerator demand.
Gaming
NVIDIA also sells graphics cards for gaming PCs. Markets will watch whether this part of the business remains steady and profitable, particularly alongside broader consumer and PC-cycle trends.
Automotive and Professional Visualisation
These are smaller divisions linked to AI development, design software and autonomous driving. They are not typically the main driver of near-term results, but commentary may be watched for signs of longer-term growth and product momentum.
Profit margins and costs
Markets will assess how profitable NVIDIA remains, particularly as AI-related investment and supply scaling continue. Margins are one factor closely watched alongside revenue growth, guidance, and broader risk sentiment.
What happened last quarter
In its most recent quarterly update, NVIDIA reported strong year-on-year revenue growth, led primarily by data centre demand.
Management commentary and subsequent reporting referenced ongoing strength in AI accelerator demand and referenced continued supply-scaling initiatives.
Last earnings key highlights
- Revenue: US$57.0 billion
- Earnings per share (EPS): US$1.30 (diluted)
- Data centre revenue: US$51.2 billion
- Gross margin: 73.4%
- Operating income: US$36.0 billion

What analysts expect this quarter
Bloomberg consensus estimates point to continued year-on-year revenue growth in the upcoming report, with markets focused on data centre performance and forward guidance into FY2027.
Bloomberg consensus reference point:
- EPS: about US$1.52
- Revenue: about US$65.5 billion
- Full-year FY2027 EPS: about US$7.66
*All above points observed as of 16 February 2026.
Analysts broadly expect sustained AI-related demand, while attention remains on supply dynamics and the pace of any demand normalisation.
Market-implied expectations
Listed options were pricing an indicative move of approximately ±7% to ±8% around the earnings release, based on near-dated, at-the-money (ATM) options-implied expected-move estimates. Implied volatility was approximately 48% annualised.
What this means for Australian investors
NVIDIA’s earnings may influence near-term sentiment and volatility across major US equity indices, including the NASDAQ 100, with potential spillover into the Asia session following the release.
It may also influence sentiment toward ASX-listed technology-exposed companies and ETFs with exposure to US large-cap growth sectors, although correlations can shift quickly around major events.
Australian-based investors may also wish to factor in AUD/USD currency moves, which can affect the local-currency translation of offshore equities and ETFs.
Important risk note
Immediately after the US close and into the early Asia session, Nasdaq 100 (NDX) futures and related CFD pricing can reflect thinner liquidity, wider spreads, and sharper repricing around new information.
Such an environment can increase gap risk and execution uncertainty relative to regular-hours conditions.

