Inilah titik ketika perusahaan 'privat' menjadi 'publik'. Pasar mendapatkan kesempatan untuk melihat lebih dalam ke perusahaan seperti OpenAI, SpaceX, dan gelombang baru kandidat ASX.

Initial public offering (IPO) adalah saat perusahaan privat menawarkan sahamnya kepada publik untuk pertama kalinya. Sebelum IPO, saham biasanya hanya dimiliki oleh pendiri, karyawan awal, dan investor privat. Ketika perusahaan go public, saham tersebut dibuka ke pasar yang lebih luas.
Bagi trader, IPO bisa menjadi kesempatan pertama untuk mendapatkan eksposur langsung ke saham suatu perusahaan. IPO dapat menciptakan kondisi unik dengan volatilitas yang lebih tinggi dan minat yang meningkat, tetapi juga memiliki risiko lebih besar karena riwayat harga terbatas dan sentimen dapat berubah dengan cepat.
Total dana IPO global pada 2025, naik 39% dibandingkan tahun sebelumnya
Perkiraan valuasi gabungan kandidat IPO teratas di 2026
Jumlah listing saham global pada 2025, rebound terbesar sejak lonjakan pasca-pandemi

| Perusahaan | Estimasi valuasi | Bursa | 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 |
Bagaimana proses listing saham
Pada hari listing, investor institusional biasanya sudah lebih dulu menilai perusahaan tersebut. Memahami enam tahap proses ini membantu trader melihat apa yang mungkin sudah tercermin dalam harga sebelum saham dibuka untuk pasar yang lebih luas.
Perusahaan memilih underwriter untuk menilai keuangan, struktur korporasi, dan posisi pasarnya.
Underwriter melakukan uji tuntas dan mengajukan dokumen disclaimer kepada regulator terkait.
Para eksekutif melakukan presentasi kepada investor institusional dan analis. Di tahap ini, permintaan mulai terbentuk dan ekspektasi harga ditetapkan, sebelum trader ritel melihat saham tersebut.
Berdasarkan masukan dari roadshow, underwriter menetapkan harga saham final dan memutuskan berapa banyak saham yang akan diterbitkan.
Saham mulai ditradingkan di bursa yang dipilih. Bagi sebagian besar trader, ini adalah kesempatan pertama untuk mentradingkan saham tersebut.
Setelah menjadi perusahaan publik, perusahaan harus merilis laporan keuangan secara berkala dan memenuhi standar tata kelola bursanya.
Trading IPO dengan CFD
Hari listing IPO sering ditandai dengan perubahan sentimen besar dan riwayat harga yang masih terbatas. Kombinasi ini dapat membuat eksposur beli-dan-tahan tradisional lebih sulit dikelola. CFD memungkinkan trader mengambil posisi dari kedua arah pergerakan, mengatur ukuran posisi dengan presisi, dan bertindak cepat sering perkembangan cerita pasar.
Trade lonjakan awal atau koreksi setelah hype. CFD memungkinkan Anda mengambil posisi di kedua arah sejak hari listing dan seterusnya.
Volatilitas IPO cenderung terkonsentrasi pada beberapa hari hingga minggu pertama. CFD sangat sesuai untuk periode waktu yang lebih singkat dan berbasis peristiwa seperti ini.
Stop loss dan limit order dapat membantu menentukan risiko sebelum masuk posisi yang penting saat proses price discovery masih berlangsung.
Akses CFD saham di pasar AS dan Australia, termasuk nama-nama seperti Rokt dan Firmus Technologies, dari satu akun.
Akses CFD saham AS dan Australia dengan eksekusi cepat, harga kompetitif, dan alat manajemen risiko bawaan.


Akses CFD saham AS dan Australia dengan eksekusi cepat, harga kompetitif, dan alat manajemen risiko bawaan.


Istilah "konsumen yang tangguh" yang terus diulang-ulang dalam berbagai laporan laba perusahaan sebenarnya menyembunyikan realitas yang kompleks. Data di tingkat indeks mendukung narasi ini; angka utama penjualan ritel tetap bertahan dan pengeluaran terlihat kokoh. Jika Anda berhenti membaca di situ, ceritanya tampak sederhana.
Namun, kenyataannya tidak demikian.
Di balik permukaan, terdapat ekonomi dua sisi atau pola 'K', di mana satu kelompok konsumen terangkat oleh kekayaan aset, eksposur pada saham berkapitalisasi besar (large-cap) AS, dan reli AI. Sementara itu, kelompok lainnya terjebak dalam perhitungan yang kurang menyenangkan: harga bensin, pembayaran minimum kartu kredit, dan cicilan kendaraan yang semakin sulit dilunasi di setiap tagihannya.
Bagi trader CFD, angka rata-rata adalah masalah. Yang penting adalah sisi mana dari pola 'K' ini yang memengaruhi saham, sektor, atau pasangan mata uang tertentu. Sebab, di sanalah margin, panduan laba (earnings guidance), CFD saham tunggal, kinerja indeks, komoditas, dan valas (FX) mulai menceritakan kisah yang berbeda.
Huruf "K" hanyalah bentuk grafik. Satu lengan mengarah ke atas, sementara yang lain ke bawah. Terapkan bentuk tersebut pada rumah tangga, dan Anda akan mendapatkan model yang efektif untuk melihat siapa yang diuntungkan oleh siklus saat ini, dan siapa yang terhimpit olehnya.
Lengan atas, di mana kekayaan aset memegang peranan utamaSisi atas kaya akan aset. Rumah tangga ini memiliki properti, memegang sebagian besar eksposur ekuitas, dan telah diuntungkan oleh reli saham berkapitalisasi besar AS yang terkait dengan AI. Kekayaan bersih tumbuh lebih cepat daripada inflasi, yang berarti pengeluaran mereka kurang sensitif terhadap harga dan tidak terlalu bergantung pada pinjaman. Sekitar 87 persen dari seluruh ekuitas AS dimiliki oleh 10 persen rumah tangga teratas, dan konsentrasi ini sangat berpengaruh saat pasar melonjak, karena efek kekayaan (*wealth effect*) dirasakan oleh jauh lebih sedikit orang daripada yang diperkirakan.
Sisi bawah menceritakan kisah yang berbeda. Dengan inflasi resmi AS yang masih di kisaran 3,7 persen, kelompok berpenghasilan rendah menghabiskan lebih banyak uang untuk kebutuhan pokok dan bergantung pada kartu kredit. Gagal bayar cicilan kendaraan telah melonjak ke level tertinggi sejak 2010.
Hal tersebut bukan merupakan sinyal resesi dengan sendirinya, melainkan sinyal tekanan (*strain signal*). Karena tekanan jarang sekali bisa terisolasi, hal ini mulai terlihat pada bauran pengeluaran sebelum muncul pada data ekonomi utama (*headline data*).
Petunjuk yang tidak boleh diabaikan pasarIntinya adalah ini: 20 persen kelompok berpenghasilan teratas di AS kini menyumbang lebih dari 60 persen total belanja ritel. Begitu Anda memahami hal ini, banyak grafik saham sektor konsumsi akan mulai terasa lebih masuk akal.
Perpecahan ini bukanlah hal baru. Bagaimanapun, pasar telah melihat berbagai versi dari fenomena ini sebelumnya, karena di setiap beberapa siklus, pola yang tidak nyaman ini muncul kembali: satu sisi ekonomi konsumen terus melaju, sementara sisi lainnya mulai tertinggal.
Pola K bukanlah hal baru. Yang membedakan di tahun 2026 adalah kecepatan dan konsentrasi pada lengan atas. Kekayaan ekuitas yang terkait AI telah memacu konsumen kaya aset lebih cepat dibandingkan siklus dispersi sebelumnya.
Pertumbuhan pendapatan 5 persen teratas melaju 4,1 persen per tahun. Kepemilikan ekuitas mulai terkonsentrasi secara signifikan, menandai iterasi modern pertama dari perpecahan ini.
Sekitar 95 persen keuntungan pemulihan dinikmati oleh 1 persen teratas. Sebaliknya, 80 persen pemegang kekayaan terbawah kehilangan 39 persen. Saham melonjak agresif sementara sektor perumahan tetap stagnan.
Stimulus sempat mempersempit pola K secara singkat. Namun, lonjakan ekuitas berikutnya membuat 10 persen teratas meraup sekitar 90 persen dari seluruh keuntungan ekuitas korporasi.
Saat ini, 10 persen teratas mendorong sekitar 49 persen dari total belanja konsumen—pangsa tertinggi sejak 1989. Ekuitas yang terkait AI secara struktural telah mempercepat lengan atas pada rekor kecepatan tertinggi.
Data agregat, seperti angka utama penjualan ritel, total kredit konsumen, dan pergerakan indeks secara luas, merangkum semua orang menjadi satu rata-rata. Dalam ekonomi konsumen tunggal, rata-rata itu berguna, tetapi dalam ekonomi pola K, rata-rata bisa menyesatkan. Yang penting adalah di sisi mana perusahaan berada dan apakah harganya mencerminkan hal tersebut.
Hal ini mengubah perilaku tiga aspek utama.
1. Dispersi: Dua saham di sektor yang sama dapat mencatatkan laba yang sangat berbeda tergantung pada siapa pelanggannya. Pergerakan indeks dapat menyamarkan hal ini, namun CFD saham tunggal tidak. Retailer barang mewah dan retailer nilai (*value*) mungkin berada di sektor konsumsi yang sama, tetapi mereka tidak bergantung pada neraca rumah tangga yang sama. Nama besar sektor perjalanan premium dan operator hemat mungkin sama-sama melaporkan permintaan perjalanan, namun bauran pelanggan dapat membuat kisah laba mereka sangat berbeda.
Bagi para trader, label sektor hanyalah lapisan pertama. Basis pelanggan adalah lapisan kedua.
2. Tekanan Margin: Perusahaan yang melayani lengan bawah mungkin semakin terpaksa memberikan diskon. PepsiCo, misalnya, telah memotong harga pada lini camilan tertentu sekitar 15 persen. Kompresi margin di sisi bawah sering kali tidak terlihat pada angka pencapaian laba utama (*headline beats*), namun bisa muncul kemudian dalam panduan laba masa depan (*guidance*).
Di sinilah trader CFD perlu berhati-hati dengan pembacaan awal. Sebuah perusahaan bisa saja melampaui ekspektasi pendapatan namun tetap memberikan panduan yang hati-hati jika mereka harus melindungi volume penjualan dengan promosi, pemotongan harga, atau margin yang lebih lemah.
3. Sinyal Kredit: Bank-bank besar menerbitkan komentar pola K mereka sendiri setiap kuartal. Pembaruan kuartalan terbaru dari JPMorgan menyoroti bahwa peminjam berpenghasilan tinggi tetap bertahan, sementara kelompok berpenghasilan rendah menunjukkan lebih banyak tekanan dalam penghapusan kredit kartu kredit (*charge-offs*). JPMorgan melaporkan pendapatan terkelola sebesar US$50,5 miliar pada kuartal terbarunya. Angka utama adalah satu hal, tetapi komentar kontekstual pola K di dalam rilis tersebut adalah hal lain.
Bahasa semacam itu, dalam siklus masa lalu, sering mendahului penilaian ulang harga (*repricing*) yang lebih luas pada nama-nama sektor konsumsi. Meskipun demikian, hal ini tidak menjamin hal yang sama akan terjadi kali ini.
Salah satu cara untuk menganalisis tema konsumen berpola 'K' (K-shaped) adalah dengan membandingkan perusahaan secara berpasangan, bukan hanya melihat satu nama saja. Ini bukan tentang menentukan saham mana yang bagus atau buruk, melainkan cara ilustratif untuk membandingkan bagaimana basis pelanggan yang berbeda dapat memengaruhi komentar pasar dan perilaku harga.
Atribusi sumber dan sanggahan: Data dan contoh diambil dari S&P Global Market Intelligence, Federal Reserve Distributional Financial Accounts, pengumuman perusahaan ASX, data kredit rumah tangga RBA, pembaruan strategis PepsiCo Februari 2026, dan hasil laporan setengah tahun Wesfarmers 2026. Perusahaan dikategorikan berdasarkan demografi penghasil pendapatan utama sesuai laporan tahunan terbaru. "Daftar Pantau Trader CFD" disediakan hanya untuk informasi umum dan komentar edukasi. Nama perusahaan digunakan untuk mengilustrasikan tema "konsumen pola K" dan bukan merupakan nasihat keuangan, rekomendasi, atau bujukan untuk membeli, menjual, atau menahan instrumen keamanan, CFD, derivatif, atau produk keuangan lainnya.
Bagi trader CFD di kawasan Asia-Pasifik, tema konsumen 'K' ini dapat menjangkau pasar lokal melalui tiga saluran yang tidak tertangkap oleh emiten AS saja:
Tab APAC dalam daftar pantau memetakan pola 'K' ke emiten konsumen Australia. Wesfarmers memegang peran kunci karena Kmart dan Bunnings berada di sisi lengan yang berlawanan dalam satu bisnis. Endeavour dan Coles memainkan peran diskresioner vs defensif di sektor barang pokok. Flight Centre dan Webjet melakukan hal yang sama di sektor perjalanan. Macquarie dan Latitude membagi kisah dari sisi kredit.
Lengan atas bukan hanya cerita tentang AS. LVMH, Hermès, dan Richemont sangat bergantung pada konsumen kelas atas Tiongkok. Data barang mewah yang melemah di Asia dapat menggerakkan selera risiko secara luas, sentimen pertambangan, dan pasangan mata uang AUD/USD sebelum data tersebut muncul di AS. Inilah mengapa sektor barang mewah bisa menjadi sinyal awal.
Lengan bawah AS yang tertekan dapat mendorong Federal Reserve ke arah sikap yang lebih dovish. Hal ini bisa menekan dolar AS dan mendukung AUD/USD, tergantung pada sentimen komoditas dan kebijakan RBA. Kisah konsumen pola K tidak selalu tentang ritel; terkadang dampaknya muncul di pasar valas (FX) terlebih dahulu.
Tingkat penghapusan kredit (charge-off) bank dan panduan retailer diskresioner mulai mengonfirmasi atau mematahkan narasi dispersi.
Keuntungan ekuitas terkait AI terus memperkuat efek kekayaan di kalangan kelas atas.
Laporan kredit konsumen berikutnya menunjukkan pemburukan lebih lanjut pada kelompok berpenghasilan rendah.
Komentar Fed mengenai kondisi keuangan, data kredit konsumen AS, bahasa laporan laba bank, dan emiten konsumsi ASX.
Pola K bertahan hingga pertengahan tahun, sementara indeks saham utama terus menyamarkannya.
Pemangkasan suku bunga mulai mengangkat kedua sisi secara tidak merata, memberikan sedikit keringanan bagi rumah tangga berpenghasilan rendah yang sensitif terhadap bunga.
Pergerakan harga Brent yang bertahan di atas US$120 menekan belanja diskresioner kelas menengah dan memaksa revisi turun laporan laba.
Revisi dot plot Fed, guncangan pasokan minyak, panduan laba pengecer, permintaan barang mewah Tiongkok, AUD/USD, dan sentimen pertambangan.
Sanggahan Skenario: Skenario "30 Hari Kedepan" dan "3 Bulan Kedepan" adalah model ilustrasi "bagaimana-jika" untuk menguji tesis pasar dan mengidentifikasi katalis potensial. Ini bukan merupakan pandangan resmi, perkiraan, jaminan, atau prediksi pergerakan pasar di masa depan. Target harga Brent, referensi kebijakan Fed, atau tolok ukur pasar lainnya bersifat hipotetis belaka.
Jika reli AI berakhir, pengeluaran kelompok lengan atas bisa melemah lebih cepat daripada yang ditunjukkan oleh data saat ini.
Permintaan barang mewah dapat melemah jika konsumen kelas atas Tiongkok mengalami perlambatan.
Jika harga energi turun alih-alih melonjak, tekanan pada lengan bawah akan berkurang dan strategi perdagangan dispersi akan berakhir.
AUD/USD dapat bergerak berlawanan dengan ekspektasi jika harga komoditas turun atau RBA menyimpang dari jalur kebijakan global.
Pada saat sebuah tema dibicarakan secara luas, sebagian besar pergerakan harga mungkin sudah diperhitungkan (*priced in*) ke dalam instrumen pasar.
CFD menggunakan leverage. Dispersi yang lebih luas dapat berarti risiko gap harga yang lebih besar di sekitar laporan laba dan kondisi yang lebih ketat untuk penempatan stop loss.
Hanya informasi umum. Skenario bersifat ilustratif. Kondisi dunia nyata tunduk pada volatilitas dan pergeseran yang tidak terduga.
Pola 'K' bukanlah sebuah prakiraan, melainkan sebuah lensa. Hal ini memaksa kita mengajukan pertanyaan yang sering diabaikan oleh data utama: Konsumen mana yang sebenarnya saya perdagangkan?
Bagi trader CFD, menjawab pertanyaan tersebut bisa menjadi pembeda antara mengikuti pergerakan indeks atau mengambil posisi pada CFD saham tunggal yang menceritakan kisah sebaliknya.
Ujian berikutnya terdiri dari tiga aspek:
Tugas Anda bukanlah untuk memprediksi kapan perpecahan ini terjadi, melainkan menentukan respons Anda sebelum hal itu terjadi. Pada saat berita utama dirilis, harga—dan peluangnya—mungkin sudah bergerak lebih dulu.
Minggu depan: Tesla, infrastruktur AI, dan bagaimana logika dispersi yang sama bekerja pada lapisan struktur ekonomi yang lebih tinggi.


Kami telah menghabiskan tiga angsuran terakhir dari seri ini untuk memetakan pipa ekonomi 2026: bank-bank yang menambatkan ibukota, utilitas yang memasok elektron, dan pembuat chip membangun silikon. Saat musim pelaporan April memasuki babak terakhirnya, perhatian bergeser ke pintu depan.
Meta, Amazon, dan Apple duduk di titik di mana pembangunan AI bertemu konsumen dan bisnis sehari-hari.
Kesenjangan yang sulit, kadang-kadang disebut “Dispersi Besar”, terbuka antara perusahaan yang memungkinkan AI dan perusahaan yang memonetisasinya. Meta dan Amazon berada di pusat siklus belanja modal (capex) besar-besaran, terhadap perkiraan pengeluaran di seluruh industri sekitar US $650 miliar hingga US $700 miliar pada tahun 2026.
Itulah sebabnya metrik pengembalian investasi (ROI) berada di depan pikiran.
Pada tahun 2026, pertanyaannya bukan lagi hanya siapa yang dapat membangun pusat data. Dialah yang dapat mengubah investasi tersebut menjadi keuntungan yang berkelanjutan dan margin tinggi. Dengan pasar energi yang lebih tenang setelah gencatan senjata baru-baru ini, penilaian teknologi memiliki ruang untuk bernafas. Sekarang pasar menginginkan bukti.
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.
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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.
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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.
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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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Musim pendapatan AS April mendarat di pasar yang menginginkan lebih dari sekadar cerita bagus. JP Morgan telah menetapkan standar tinggi dengan hasil yang kuat, dan perhatian sekarang beralih ke ruang mesin S&P 500: infrastruktur AI. Tiga perusahaan berada di pusat cerita itu.
Microsoft, Alphabet dan NVIDIA bukan hanya peserta dalam siklus AI, mereka membangun arsitektur fisik dan perangkat lunak yang bergantung pada perusahaan lain: chip, wilayah cloud, model, dan alat. Jika pengeluaran ini akan memberikan pengembalian, tanda-tanda pertama mungkin mulai terlihat dalam hasil triwulanan mereka selama beberapa minggu ke depan.
Setiap perusahaan mewakili tes yang berbeda.
Pada tahun 2026, pertanyaannya bukan lagi apakah investasi AI sedang terjadi, komitmen modal substansialnya dan sudah dinyatakan secara publik. Pertanyaannya adalah apakah pengeluaran itu menghasilkan pengembalian cukup cepat untuk membenarkan skala taruhan tersebut.
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.
Global Release Countdown (AMC)
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.
Microsoft and Alphabet report on the same evening, 29 April, making the overnight session into 30 April one of the most information-dense points of the year for equity markets. For Australian traders, both results should be available by 6:30 am AEST on Thursday 30 April. That means price reactions may already be visible in US futures before the ASX opens.
NVIDIA reports later, in May, but it casts a long shadow over everything in between. The guidance the company gave for Q1 FY2027, US$78 billion in revenue, has set a benchmark the market has been tracking for months. If Microsoft and Alphabet's results suggest AI infrastructure demand has softened, that could reset expectations heading into NVIDIA's call. If both beat expectations and signal accelerating cloud growth, that could lift the floor for what NVIDIA may report.
That interconnection is what makes this cluster different from most earnings windows. The results do not just affect the individual companies. They also signal the health of an investment supercycle that has driven global equity market leadership for the past two years.
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 that are priced on the assumption that AI returns are coming and coming soon.
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, whether a new filing, a remedy announcement or a court ruling, 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 during the earnings call, that could create uncertainty around NVIDIA's forward order book, even if its own Q1 FY2027 results beat expectations.
The 2026 Reality Check
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.
Microsoft and Alphabet report on the same evening, 29 April. NVIDIA follows in late May. Together, they may 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. The earnings per share (EPS) number is important. What management says about AI monetisation timelines, capex trajectories and competitive positioning may matter more.
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Musim pendapatan AS April mendarat di pasar yang menginginkan lebih dari sekadar cerita bagus. Seperti yang disoroti GO Markets baru-baru ini daftar pantauan pendapatan pertahanan, periode pelaporan ini tiba setelah perubahan yang lebih luas dalam apa yang dipedulikan pasar. Ini bukan lagi hanya tentang pertumbuhan dengan biaya berapa pun. Pedagang ingin tahu apa yang dikatakan angka-angka di bawah permukaan.
Di bagian pasar ini, yang membawa Tesla, NextEra Energy dan Exxon Mobil menjadi fokus. Masing-masing menawarkan bacaan yang berbeda tentang tema kunci 2026: otonomi, permintaan listrik, dan risiko pasokan minyak.
Secara keseluruhan, ketiga nama ini membantu menjelaskan ke mana perhatian mungkin bergeser. Pertanyaannya bukan lagi hanya siapa yang memiliki narasi terkuat, melainkan, siapa yang dapat menunjukkan permintaan nyata, margin yang lebih kuat, dan eksekusi yang bertahan dalam latar belakang yang lebih rumit.
Pada tahun 2026, permintaan daya AI mendorong utilitas, penyimpanan, dan kapasitas jaringan ke fokus yang lebih tajam sementara pada saat yang sama, risiko pasokan minyak telah membawa keamanan energi kembali ke percakapan pasar.
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.
Global Release Countdown (BMO)
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.
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Jadi inilah masalahnya: musim pendapatan AS April tiba di pasar yang masih terasa sama sekali tidak normal. Seperti yang dijelaskan GO Markets di Buku pedoman pendapatan AS global: Panduan penting untuk pedagang, periode pelaporan ini mendarat setelah perubahan nyata dalam apa yang dipedulikan pasar. Ini bukan lagi hanya tentang mengejar pertumbuhan dengan biaya berapa pun. Ini tentang apa yang dikatakan angka-angka di bawah permukaan.
Dan pada tahun 2026, sinyal-sinyal itu bertabrakan dengan latar belakang gesekan tinggi:
Ya, AI masih menjadi cerita utama pasar tetapi masih mesin mencolok yang mendapatkan sebagian besar perhatian. Tapi di bawahnya, ada langkah yang lebih tenang menuju perusahaan yang terlihat dibangun untuk bertahan lebih baik ketika kondisinya semakin sulit.
Ketika tarif tidak pasti dan pasar energi berada di bawah tekanan, nama-nama seperti JPMorgan Chase dan kontraktor pertahanan utama mulai membawa lebih banyak bobot. Mereka tidak menggantikan narasi AI, melainkan, mereka menjadi bagian dari cara pedagang membaca selera risiko, daya tahan pendapatan dan, pada akhirnya, di mana pasar mencari sesuatu yang lebih solid untuk dipertahankan.
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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Jika Anda telah mengamati pasar selama setahun terakhir, Anda akan memperhatikan bahwa era “pertumbuhan dengan biaya berapa pun” telah secara efektif mencapai tembok. Siklus pendapatan April 2026 tiba pada saat fokus pasar telah mengalami reorientasi struktural. Ini bukan hanya tentang laporan laba rugi lagi. Ini tentang sinyal yang ada di belakang mereka.
Dengan ketidakpastian suku bunga yang masih ada dan guncangan geopolitik mendorong minyak di atas US $100, pedoman telah bergeser dari hype AI menuju ketahanan kelembagaan dan industrialisasi komputasi. Bagi pedagang di Australia, Asia dan Amerika Latin, hasil ini dapat bertindak sebagai cincin suasana hati untuk selera risiko global dan supercycle keamanan yang muncul.
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.

Hasil BMO mencapai sebelum pasar kas AS dibuka, sehingga penemuan harga terjadi dalam perdagangan pra-pasar di mana likuiditas lebih tipis dan pergerakan dapat dilebih-lebihkan. Hasil AMC mencapai setelah penutupan, yang berarti reaksi dikompresi ke jendela pra-pasar pendek keesokan paginya. Memahami jendela mana yang dilaporkan perusahaan Anda sama pentingnya dengan memahami apa yang dilaporkannya.
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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.
Perlu ditanyakan: Apakah perdagangan yang jelas sudah dihargai untuk kesempurnaan?
Tahun 2026 terbentuk sebagai tahun pembuktian. Perusahaan yang menghabiskan banyak uang untuk AI selama dua tahun terakhir sekarang diminta untuk menunjukkan pengembaliannya. Pasar tidak lagi menghargai pengumuman investasi AI. Ini menghargai bukti hasil pendapatan yang digerakkan oleh AI.
Pertanyaan pembingkaian yang lebih baik untuk setiap hasil adalah ini: apakah Anda bereaksi terhadap judul, atau apakah Anda menilai peran perusahaan dalam rantai pasokan AI fisik atau sebagai lindung nilai volatilitas potensial? Itu adalah tugas analitis yang sangat berbeda, dan mereka cenderung menghasilkan keputusan penentuan posisi yang sangat berbeda.
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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Referensi terhadap perusahaan, kandidat IPO, valuasi, bursa, sReferensi terhadap perusahaan, kandidat IPO, valuasi, bursa, sektor, dan pasar hanya bersifat ilustratif, berdasarkan informasi publik yang tersedia pada saat publikasi, dan dapat berubah tanpa pemberitahuan. Rencana listing dapat tertunda, diubah, atau dibatalkan, dan pencantuman pada halaman ini tidak menjamin bahwa suatu perusahaan akan melakukan listing, atau bahwa saham atau CFD apa pun akan tersedia untuk ditradingkan melalui GO Markets.