STRASMORE/EXPLORE 2,170 QUERIES

Where fiscal quarters actually end: statement periods by calendar month, July 2023 to June 2026

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 2026-08-03, from How to Find a Stock's Earnings Date.

as of ranking 12×3read in context →
Where fiscal quarters actually end: statement periods by calendar month, July 2023 to June 2026 — 12 rows by 3 columns, computed from US exchange, SIP and OPRA data.
quarter_end_labelstatement_periodsshare_pct
Jan11791.2
Feb7680.8
Mar1624016.6
Apr8190.8
May7900.8
Jun1611116.5
Jul16411.7
Aug9651
Sep2448425.1
Oct14491.5
Nov9120.9
Dec3236833.1
Rows × columns
12 × 3
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for Where fiscal quarters actually end: statement periods by calendar month, July 2023 to June 2026, derived from the stored result.
ColumnTypeRangeNotes
quarter_end_label text 12 distinct values (Apr, Aug, Dec…)
statement_periods number 768 to 32,368
share_pct number 0.8 to 33.1 percent

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.

the exact SQL behind every number
SELECT formatDateTime(period_end, '%b') AS quarter_end_label,
       count() AS statement_periods,
       round(100 * count() / (SELECT count()
                              FROM global_markets.stocks_income_statements
                              WHERE period_end >= toDate('2023-07-01')
                                AND period_end <= toDate('2026-06-30')), 1) AS share_pct
FROM global_markets.stocks_income_statements
WHERE period_end >= toDate('2023-07-01')
  AND period_end <= toDate('2026-06-30')
GROUP BY quarter_end_label, toMonth(period_end)
ORDER BY toMonth(period_end)

Run your own version of this

The same 22 years of US equities and 12 years of options data are queryable in SQL or plain English. A free account runs 100 queries a day and takes no card.

More from this analysisHow to Find a Stock's Earnings Date
NVDA: the ten largest overnight moves, July 2024 to June 2026 ranking 10×3 Spacing between each name's eight biggest overnight moves, July 2024 to June 2026 table 7×5 Volume in the four weeks around day 180 vs the weeks before it: nine US listings ranking 9×4 IPO registration and prospectus filings since 2022 ranking 7×3 How much of a company an IPO actually sells ranking 6×2 Reddit share volume by window, counted in days from the March 20, 2024 pricing date ranking 5×3 See all 2,170 queries →