quarter_ends
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 2026-10-09, from what-is-earnings-season.
| label | company_count |
|---|---|
| 9월 | 3814 |
| 12월 | 2567 |
| 10월 | 190 |
| 7월 | 172 |
| 8월 | 170 |
| 11월 | 160 |
| 1월 | 148 |
| 5월 | 50 |
| 4월 | 11 |
| 6월 | 7 |
| 2월 | 6 |
| 3월 | 2 |
- Rows × columns
- 12 × 2
- 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 |
|---|---|---|---|
label |
text | 12 distinct values (10월, 11월, 12월…) | |
company_count |
number | 2 to 3,814 | count |
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
concat(toString(toMonth(period_end)), '월') AS label,
countDistinct(cik) AS company_count
FROM global_markets.stocks_income_statements
WHERE timeframe = 'quarterly'
AND period_end >= '2025-07-01'
AND period_end < '2026-07-01'
GROUP BY label
ORDER BY company_count DESC
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