quarterly_results
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 2026-10-24, from msft-stock-price-analysis.
| date | quarter_label | revenue_100m_usd | operating_income_100m_usd | net_income_100m_usd | diluted_eps |
|---|---|---|---|---|---|
| 2024-09-30 | 2024年9月 | 655.8 | 305.5 | 246.7 | 3.3 |
| 2024-12-31 | 2024年12月 | 696.3 | 316.5 | 241.1 | 3.23 |
| 2025-03-31 | 2025年3月 | 700.7 | 320 | 258.2 | 3.46 |
| 2025-06-30 | 2025年6月 | 764.4 | 343.2 | 272.3 | 3.65 |
| 2025-09-30 | 2025年9月 | 776.7 | 379.6 | 277.5 | 3.72 |
| 2025-12-31 | 2025年12月 | 812.7 | 382.8 | 384.6 | 5.16 |
- Rows × columns
- 6 × 6
- 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 |
|---|---|---|---|
date |
date | 2024-09-30 to 2025-12-31 | |
quarter_label |
text | 6 distinct values (2024年12月, 2024年9月, 2025年12月…) | |
revenue_100m_usd |
number | 655.8 to 812.7 | US dollars |
operating_income_100m_usd |
number | 305.5 to 382.8 | US dollars |
net_income_100m_usd |
number | 241.1 to 384.6 | US dollars |
diluted_eps |
number | 3.23 to 5.16 |
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.
Run it yourself
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 date,
concat(toString(toYear(period_end)), '年', toString(toMonth(period_end)), '月') AS quarter_label,
round(max(toFloat64(revenue)) / 1e8, 1) AS revenue_100m_usd,
round(max(toFloat64(operating_income)) / 1e8, 1) AS operating_income_100m_usd,
round(max(toFloat64(consolidated_net_income_loss)) / 1e8, 1) AS net_income_100m_usd,
round(max(toFloat64(diluted_earnings_per_share)), 2) AS diluted_eps
FROM global_markets.stocks_income_statements
WHERE has(tickers, 'MSFT')
AND timeframe = 'quarterly'
AND period_end >= today() - 800
AND period_end < today()
GROUP BY period_end
ORDER BY period_end
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