Most watched this season
Apple • Microsoft • Alphabet • Amazon • Nvidia • Meta • Tesla
GO Markets와 함께 미국 실적 시즌 거래
미국 실적 시즌에는 주요 미국 상장사의 실적 업데이트가 쏟아집니다. 실적, 가이던스, 시장 기대치가 빠르게 변동하며 개별 종목, 섹터, 더 넓은 지수 전반에 변동성을 유발할 수 있습니다.
경쟁력 있는 가격
급변하는 발표 전후 거래 시 비용을 관리하세요.
기술적 분석 도구
차트와 지표로 진입, 청산 및 리스크를 계획하세요.
액티브 트레이딩에 최적화
빠른 체결과 안정적인 플랫폼으로 거래하세요.
리스크 관리 기능
내장 도구로 하방 리스크를 정의하고 변동성 구간에서 포지션을 보호하세요.
더 많은 대응 시간
일부 미국 주식 CFD는 연장 거래 시간이 제공되어, 정규 세션 외에도 추가로 거래할 수 있습니다.*
*상품별로 제공 여부가 다릅니다. 정규 거래 시간 외에는 거래 조건이 달라질 수 있습니다.

이번 시즌 최다 관심
미국 실적 캘린더
표시된 시간은 호주 동부 표준시(GMT+10) 기준입니다. 실적 캘린더 설정에서 언제든지 시간대를 변경할 수 있습니다.
뉴스 및 분석


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


4월 미국 기업들의 실적 발표 시즌은 단순한 이야깃거리 이상의 것을 원하는 시장에 도래했습니다. JP모건 은 이미 강력한 실적으로 높은 기준을 제시했으며, 이제 관심은 S&P 500의 핵심 동력원인 AI 인프라로 옮겨가고 있습니다. 이 이야기의 중심에는 세 기업이 있습니다.
이번 실적 발표 기간이 AI에 중요한 이유
마이크로소프트, 알파벳, 엔비디아는 AI 사이클의 단순한 참여자가 아닙니다. 이들은 다른 기업들이 의존하는 물리적 및 소프트웨어 아키텍처, 즉 칩, 클라우드 리전, 모델, 도구를 구축하고 있습니다. 이러한 지출이 수익을 창출한다면, 그 첫 징후는 앞으로 몇 주 안에 발표될 이들의 분기별 실적에서 나타나기 시작할 수 있습니다.
각 기업은 각기 다른 시험대에 올라 있습니다.
- 마이크로소프트: 기업 AI 도입이 매출 및 마진 확대로 이어지는지 여부
- 알파벳: 칩부터 클라우드, 유통까지 전체 스택을 소유하는 것이 지속 가능한 이점인지, 아니면 단순히 방어하기에 비용이 많이 드는 위치인지 여부
- 엔비디아: 하드웨어 사이클이 여전히 유지되고 있는지, 가속화되고 있는지, 아니면 정체되기 시작하는지 여부
2026년에는 AI 투자가 이루어지고 있는지 여부는 더 이상 질문이 아닙니다. 자본 투입은 상당하며 이미 공개적으로 발표되었습니다. 문제는 그 지출이 투자의 규모를 정당화할 만큼 충분히 빠르게 수익을 창출하는지 여부입니다.
중요 고지: 기업 실적 발표 일정은 사전 예고 없이 변경될 수 있습니다. 확정 표시된 발표 일자 및 발표 시간은 해당 기업의 IR(기업설명회) 캘린더를 기초로 구성되었으며, 그 외의 일정은 GO Markets의 추정치입니다. 주당순이익(EPS), 매출액 컨센서스 및 애널리스트 추정치 범위(Range) 데이터는 제3의 시장 컨센서스 소스를 바탕으로 작성되었으며, 2026년 4월 16일 호주 동부표준시(AEST) 기준입니다. 별도의 명시가 없는 한 기업 가이던스, 수주잔고(Backlog) 및 주요 경영 지표는 해당 기업의 가장 최근 공시 자료 또는 실적 발표 프레젠테이션을 인용했습니다. 모든 수치 및 일정은 사전 고지 없이 변경될 수 있습니다.
Microsoft Corporation
글로벌 실적 발표 카운트다운 (장 마감 후)
마켓 인텔리전스: $MSFT
심층 분석: 마이크로소프트 주가 동인 및 시나리오
심층 분석: 마이크로소프트 주가 동인 및 시나리오
현재 마이크로소프트는 핵심적인 시험대에 올라 있습니다. 막대한 AI 인프라 지출을 마진 개선으로 연결할 수 있는가에 대한 여부입니다. US$4.14를 상회하는 실적 결과가 확인된다면 시장 일각의 자본지출 피로감(Capex Fatigue) 우려를 완화하고 기업들의 AI 도입 확대와 함께 Azure 성장률이 재가속화되고 있음을 입증하는 계기가 될 수 있습니다.
주요 시장 변동성 촉발 요인
시장 심리 분석 · Microsoft Corp.
인터랙티브 시나리오 분석: $MSFT
인터랙티브 시나리오 분석: $MSFT
인프라 투자의 결실, AI 성장의 실질적 증명
출처: 확정(Confirmed) 표시된 발표 일자 및 발표 시간은 기업의 공식 IR 캘린더를 기초로 구성되었으며, 그 외의 일정은 GO Markets의 추정치입니다. 주당순이익(EPS), 매출액 및 애널리스트 추정치 범위 데이터는 2026년 4월 16일 호주 동부표준시(AEST) 기준 Bloomberg 및 Earnings Whispers를 소스로 합니다. 가이던스, 수주잔고 및 경영 지표는 해당 기업의 가장 최근 공시 자료 또는 실적 발표 프레젠테이션을 인용했습니다. 본 시나리오 분석은 GO Markets의 독자적인 매크로 분석 결과를 반영한 것이며, 모든 수치와 일정은 사전 고지 없이 변경될 수 있습니다.
반도체 밸류체인 그 너머
실질적인 수익화 능력을 입증해야 하는(‘Show me the money’) 한 해가 전개됨에 따라, 전력 및 인프라 등 전방위적인 AI 수요가 테슬라, 넥스트에라 에너지, 엑손모빌에 미치는 영향력을 다각도로 분석합니다.
기업용 소프트웨어에서 검색, 그리고 클라우드로의 체질 개선
알파벳(Alphabet)은 단순한 검색 엔진 기업을 넘어 거대한 AI 인프라 핵심 플레이어로 체질을 개선해 왔으며, 이번 실적은 이러한 패러다임 전환이 실제 유의미한 이익을 창출하고 있는지를 검증하는 리트머스 시험지가 될 것입니다. 2026년 연간 설비투자(CapEx) 전망치인 US$1,850억은 전년 대비 두 배에 육박하는 가공할 만한 수준입니다. 이처럼 막대한 인프라 지출이 자본을 대거 잠식하면서 올해 주당순이익(EPS)은 전년 동기 대비 소폭 둔화될 것으로 예상됩니다. 핵심 관건은 구글 클라우드(Google Cloud)의 성장 속도가 마진 회복으로의 확실한 경로를 보여줄 수 있는지, 그리고 7세대 자체 개발 AI 칩인 아이언우드(Ironwood)가 대규모 가동 환경에서 쿼리당 비용(Cost-per-query) 우위를 확실히 증명해 내는지 여부입니다.
Alphabet Inc.
글로벌 실적 발표 카운트다운 (장 마감 후)
마켓 인텔리전스: $GOOGL
심층 분석: 알파벳 주가 동인 및 시나리오
심층 분석: 알파벳 주가 동인 및 시나리오
알파벳은 이제 단순 검색 엔진을 넘어 광범위한 AI 인프라 핵심 플레이어로 인식되고 있습니다. 관건은 연간 US$1,850억 규모의 대규모 인프라 지출이 자본을 대거 잠식하는 상황에서 클라우드 부문의 성장이 마진 회복으로의 확실한 경로를 지지할 수 있는지 여부입니다.
주요 시장 변동성 촉발 요인
시장 심리 분석 (Alphabet Inc.)
인터랙티브 시나리오 분석: $GOOGL
인터랙티브 시나리오 분석: $GOOGL
아이언우드 효율성이 이끄는 추가 상승 모멘텀
출처: 확정(Confirmed) 표시된 발표 일자 및 발표 시간은 기업의 공식 IR 캘린더를 기초로 구성되었으며, 그 외의 일정은 GO Markets의 추정치입니다. 주당순이익(EPS), 매출액 및 애널리스트 추정치 범위 데이터는 2026년 4월 16일 호주 동부표준시(AEST) 기준 Bloomberg 및 Earnings Whispers를 소스로 합니다. 가이던스, 수주잔고 및 경영 지표는 해당 기업의 가장 최근 공시 자료 또는 실적 발표 프레젠테이션을 인용했습니다. 본 시나리오 분석은 GO Markets의 독자적인 매크로 분석 결과를 반영한 것이며, 모든 수치와 일정은 사전 고지 없이 변경될 수 있습니다.
NVIDIA: 하드웨어 사이클 파급효과 점검
엔비디아(NVIDIA)는 이제 단순한 반도체 설계 기업이 아닙니다. 매크로 애널리스트들이 '연산의 중앙은행'이라 규정하는 존재로 거듭났으며, 전 세계가 실제로 배치할 수 있는 AI 인프라 용량(CapEx 가동 한계)을 결정하는 독점적 공급 주체입니다.
이번에 발표되는 2027 회계연도 1분기 실적은 예상보다 빠르게 양산에 돌입한 차세대 '베라 루빈(Vera Rubin) R100' GPU 아키텍처가 벌써 실질적인 매출에 기여하고 있는지 검증하는 무대가 될 것입니다. 아울러 AI 시장의 주도권이 초기 인프라 구축(학습) 단계에서 상업적 서비스 운영(추론) 단계로 넘어가는 과정에서 엔비디아가 75% 이상의 높은 매출총이익률을 지속할 수 있을지가 핵심 관전 포인트입니다. 추론 워크로드는 학습에 비해 기술적 진입 장벽이 낮고 가격 민감도가 높기 때문에, 이 구역에서의 마진 견고성이야말로 엔비디아의 장기 지배력을 방어하는 핵심 변수입니다.
NVIDIA Corporation
글로벌 실적 발표 카운트다운 (장 마감 후)
마켓 인텔리전스: $NVDA
심층 분석: 엔비디아 주가 동인 및 시나리오
심층 분석: 엔비디아 주가 동인 및 시나리오
엔비디아의 향후 전망은 생성형 AI 수요가 추론 워크로드 중심으로 재편되는 상황 속에서 차세대 루빈 R100이 매출총이익률을 75% 선에서 방어해낼 수 있는지에 달려 있습니다. 추론 장세는 기존 인프라 학습 단계에 비해 단가 민감도가 훨씬 높기 때문에 이 구간에서의 마진 검증이 핵심 리트머스 시험지입니다.
주요 시장 변동성 촉발 요인
시장 심리 분석 · NVIDIA Corp.
인터랙티브 시나리오 분석: $NVDA
인터랙티브 시나리오 분석: $NVDA
루빈 양산 속도 가속화, 추가 성장 동력 지지
출처: 확정(Confirmed) 표시된 발표 일자 및 발표 시간은 기업의 공식 IR 캘린더를 기초로 구성되었으며, 그 외의 일정은 GO Markets의 추정치입니다. 주당순이익(EPS), 매출액 및 애널리스트 추정치 범위 데이터는 2026년 4월 16일 호주 동부표준시(AEST) 기준 Bloomberg 및 Earnings Whispers를 소스로 합니다. 가이던스, 수주잔고 및 경영 지표는 해당 기업의 가장 최근 공시 자료 또는 실적 발표 프레젠테이션을 인용했습니다. 본 시나리오 분석은 GO Markets의 독자적인 매크로 분석 결과를 반영한 것이며, 모든 수치와 일정은 사전 고지 없이 변경될 수 있습니다.
이번 실적 발표 윈도우가 시장 전반에 결정적인 이유
마이크로소프트와 알파벳이 4월 29일 같은 날 저녁에 실적을 공시합니다. 이로 인해 4월 30일로 이어지는 야간 세션은 글로벌 주식 시장에서 올해 가장 정보 밀도가 높은 변곡점이 될 전망입니다. 국내 및 호주 트레이더들의 경우 한국 시간(KST) 기준 4월 30일 목요일 오전 5시 30분(호주 동부표준시 오전 6시 30분)이면 양사의 결과를 모두 확인할 수 있습니다. 이는 국내 증시(KOSPI) 및 호주 증시(ASX)가 개장하기 전, 미국 지수 선물의 가격 변동을 통해 시장 심리가 이미 선반영될 수 있음을 시사합니다.
엔비디아는 이보다 늦은 5월 말에 실적을 발표하지만, 그 사이에 전개되는 모든 테크 섹터 흐름에 거대한 그림자를 드리우고 있습니다. 엔비디아가 제시했던 2027 회계연도 1분기 매출액 가이드라인인 US$780억은 지난 몇 달간 글로벌 금융 시장이 리스크의 척도로 삼아온 기준점입니다. 만약 마이크로소프트와 알파벳의 실적에서 AI 인프라 수요 둔화 시그널이 포착된다면, 5월 엔비디아 주주총회와 실적 발표를 앞두고 시장의 기대치가 대대적으로 하향 조정될 수 있습니다. 반대로 양사 모두 컨센서스를 상회하며 클라우드 부문의 성장 가속화를 증명한다면, 엔비디아 실적의 하방 지지선(Floor)은 한층 높아질 가능성이 있습니다.
이러한 빅테크 간의 긴밀한 역학적 상호작용이야말로 이번 실적 시즌을 여타 어닝 윈도우와 차별화하는 핵심 요소입니다. 이번 결과는 개별 기업의 주가에 그치지 않고, 지난 2년간 글로벌 증시의 주도권을 장악해 온 테크 부문 투자 슈퍼사이클의 펀더멘탈 건전성을 가늠하는 척도가 될 수 있습니다.
판도를 뒤흔들 수 있는 3대 매크로 리스크
단순히 공시 수치(정량 데이터)의 헤드라인 상회 여부와 무관하게, 전체 시장 서사의 물줄기를 바꿀 수 있는 세 가지 구조적 리스크가 존재합니다. 실적 카운트다운이 끝나기 전 반드시 짚어봐야 할 대목입니다.
설비투자 피로감 (Capex Fatigue)
마이크로소프트와 알파벳의 실적이 컨센서스에 그치거나 하회하는 와중에 천문학적인 자본 지출 계획만 재확인된다면, 시장은 AI 수익화 속도가 인프라 지출 비용을 따라가지 못한다는 위험을 가격에 반영하기 시작할 수 있습니다. 이는 특정 종목에 국한된 악재가 아닙니다. AI가 조만간 가시적인 자본 이익률(ROI)을 가져다줄 것이라는 전제하에 높은 멀티플을 받아온 기술주 전반의 밸류에이션 디레이팅(집단 하락) 국면으로 번져갈 리스크가 있습니다.
규제 당국의 압박 본격화 (Regulatory Escalation)
미 연방거래위원회(FTC)의 마이크로소프트 조사, 법무부(DOJ)의 알파벳 반독점 소송, 그리고 엔비디아의 CUDA 소프트웨어 생태계에 대한 유럽연합(EU)의 전방위적 조사는 모두 현재 진행형인 사안들입니다. 실적 컨퍼런스 콜 직전에 새로운 소송 제기, 시정 조치 발표, 혹은 법원 판결 등 실질적인 법적 변수가 돌출된다면 재무 성적표의 호재를 완전히 덮어버릴 수 있습니다. 이 섹터의 규제 리스크는 추상적인 가설이 아니라 변동성을 유발하는 live 변수입니다.
자체 개발 칩(빅테크 커스텀 실리콘)과의 무한 경쟁
마이크로소프트의 마이아 200(Maia 200), 알파벳의 아이언우드(Ironwood) TPU, 아마존의 트레이니움(Trainium), 그리고 메타의 독자 가속기 칩들은 하이퍼스케일러들의 엔비디아 하드웨어 의존도를 낮추는 핵심 무기입니다. 만약 실적 발표 과정에서 이들 클라우드 거물 중 단 한 곳이라도 자체 칩 비중 확대를 이유로 GPU 조달 계획 축소 시그널을 보낸다면, 엔비디아가 제시할 당장의 실적이 아무리 뛰어날지라도 향후 선행 수주잔고(Order Book)에 대한 불확실성이 불거질 수 있습니다.
2026년 매크로 관점의 냉정한 현실 점검
$MSFT
AI 자본 지출이 단순한 비용 청구 단계를 넘어 독점적 경쟁 우위로 전환되는 시점입니다. 핵심은 영업이익률 마진이 이를 따라와 주느냐입니다.
$GOOGL
자체 칩부터 핵심 검색 비즈니스, 클라우드 아키텍처로 이어지는 수직 계열화가 강력한 경제적 해자가 될지, 아니면 천문학적인 방어 비용이 드는 수렁이 될지 시험대입니다.
$NVDA
글로벌 AI 하드웨어 사이클의 맥박 그 자체입니다. 차세대 루빈(Rubin) 아키텍처가 테크 부문의 투자 슈퍼사이클을 2027년까지 무난히 견인할 수 있을지 가늠할 이정표입니다.
마이크로소프트와 알파벳이 4월 29일 같은 날 실적을 공개하며, 엔비디아가 5월 말 그 뒤를 따릅니다. 이 세 거물의 실적 결합은 테크 부문의 고강도 인프라 자본 지출이 천문학적인 투자 자금 투입 속도에 걸맞은 상업적 회수율을 내고 있는지 평가할 가장 선명한 거시적 나침반이 될 것입니다. 당장 찍히는 주당순이익(EPS) 수치도 중요하지만, 각사 경영진이 밝힐 AI 수익화 타임라인, 설비투자(CapEx) 성장 궤적, 그리고 맞춤형 자체 칩 경쟁 구도 내에서의 생존 전략에 시장 심리가 더 크게 요동칠 수 있습니다.
.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.

