Apple quarterly revenue and net income, by period end
Answered against 22 years of US equities and 12 years of US options data and published with the query that produced it. This result is stored as of 2026-10-16, from How to Read a 10-Q: Quarterly Filing Guide.
| quarter_end_date | revenue_billions | net_income_billions | quarter_label |
|---|---|---|---|
| 2023-07-01 | 81.8 | 19.88 | Jul 2023 |
| 2023-09-30 | 89.5 | 22.96 | Sep 2023 |
| 2023-12-30 | 119.58 | 33.92 | Dec 2023 |
| 2024-03-30 | 90.75 | 23.64 | Mar 2024 |
| 2024-06-29 | 85.78 | 21.45 | Jun 2024 |
| 2024-09-28 | 94.93 | 14.74 | Sep 2024 |
| 2024-12-28 | 124.3 | 36.33 | Dec 2024 |
| 2025-03-29 | 95.36 | 24.78 | Mar 2025 |
| 2025-06-28 | 94.04 | 23.43 | Jun 2025 |
| 2025-09-27 | 102.47 | 27.47 | Sep 2025 |
| 2025-12-27 | 143.76 | 42.1 | Dec 2025 |
- Rows × columns
- 11 × 4
- Period covered
- to
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
quarter_end_date |
date | 2023-07-01 to 2025-12-27 | |
revenue_billions |
number | 81.8 to 143.76 | |
net_income_billions |
number | 14.74 to 42.1 | |
quarter_label |
text | 11 distinct values (Dec 2023, Dec 2024, Dec 2025…) |
Computed from Strasmore's warehouse of US exchange, SIP and OPRA market data. Equity prices are delayed; options greeks and implied volatility are end-of-day. This result is stored, not recomputed on load — it is exactly the numbers that were returned on , and the query below is what returned them.
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This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.
SELECT
toString(period_end) AS quarter_end_date,
round(toFloat64(argMax(revenue, (filing_date, period_end))) / 1e9, 2) AS revenue_billions,
round(toFloat64(argMax(consolidated_net_income_loss, (filing_date, period_end))) / 1e9, 2) AS net_income_billions,
formatDateTime(period_end, '%b %Y') AS quarter_label
FROM global_markets.stocks_income_statements
WHERE has(tickers, 'AAPL')
AND timeframe = 'quarterly'
AND period_end >= '2023-07-01'
GROUP BY period_end
ORDER BY period_end
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