An importable calendar of the remaining big-tech and chip earnings calls for the September quarter, with times from each company's own announcement, checked Oct 22, 2026.
The September-quarter earnings season is when big tech says how much more it'll spend on AI and the chip makers say whether the orders are real. This calendar puts the remaining calls on your phone. Not financial advice.
company,ticker,quarter,status,date,call_time_pt,call_time_et,...
Alphabet,GOOGL,Q3 2026,scheduled,2026-10-28,13:30,16:30,...
Microsoft,MSFT,FY2027 Q1 (quarter ended Sep 30 2026),scheduled,2026-10-28,14:30,17:30,...
Amazon,AMZN,Q3 2026,scheduled,2026-10-29,14:00,17:00,...
Intel,INTC,Q3 2026,scheduled,2026-10-29,14:00,17:00,...
Apple,AAPL,FY2026 Q4,scheduled,2026-11-02,14:00,17:00,...
AMD,AMD,Q3 2026,scheduled,2026-11-03,14:00,17:00,...
earnings-calls.ics: 6 calls, importable into Google Calendar, Apple Calendar or Outlookearnings.csv: 10 companies, scheduled and already reported, with a source link for eachWATCHLIST.md: a fill-in table for the five numbers from our capex articlemake_ics.py and tests/: rebuild the calendar from the CSV, with an optional reminderearnings-calls.ics and import it. In Google Calendar, go to Settings → Import & export.python3 make_ics.py --alarm 30, then import the new file.WATCHLIST.md.Builders who follow AI spending because it decides GPU prices, API prices and which tools get funded.
Yes. The file stores every time in UTC and your calendar app converts it. US daylight time ends on Nov 1, 2026, which the file already accounts for.
When we checked on Oct 22, 2026, NVIDIA's investor relations events page didn't list a date for its next results call yet, so we left it out rather than guess.
Companies announce when calls start, not when they end. One hour is a placeholder.
It happens. Each event links to the company's announcement, so check it before you plan around a call. You can edit earnings.csv and rebuild the file with make_ics.py.
Meta grew revenue 26% in Q3 2026 while spending $34.9 billion on capital expenditures, more than its operating cash flow. Here are the numbers that matter, from the company's own release.
Three chip companies, three layers of the stack: the foundry, the equipment maker and the analog supplier. Their Q3 2026 numbers, straight from their releases.
A plain framework for judging the AI spending boom: capex versus revenue, versus cash flow, depreciation, debt and supplier orders. Worked through with Meta's Q3 2026 release.
The Codema publication. Consent is required. You are not subscribed until you confirm from the email, and nothing is stored if email delivery is not connected.