STRASMORE/EXPLORE 3,256 QUERIES

One company's 10-K text, fiscal year by fiscal year (AAPL)

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 How to Read a 10-K Annual Report Filing.

as of ranking 3×3read in context →
One company's 10-K text, fiscal year by fiscal year (AAPL) — 3 rows by 3 columns, computed from US exchange, SIP and OPRA data.
yearsection_countthousand_characters
2018286
2024285
2025284
Rows × columns
3 × 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 One company's 10-K text, fiscal year by fiscal year (AAPL), derived from the stored result.
ColumnTypeRangeNotes
year text 3 distinct values (2018, 2024, 2025)
section_count number every row is 2 count
thousand_characters number 84 to 86

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.

WITH per_section AS (
    SELECT
        toYear(period_end)  AS fiscal_year,
        section             AS section,
        max(length(text))   AS section_characters
    FROM global_markets.stocks_10k_sections
    WHERE ticker = 'AAPL'
      AND period_end >= '2016-01-01'
      AND section != ''
    GROUP BY fiscal_year, section
)
SELECT
    toString(fiscal_year)                    AS year,
    count()                                  AS section_count,
    round(sum(section_characters) / 1000.0)  AS thousand_characters
FROM per_section
GROUP BY fiscal_year
ORDER BY fiscal_year
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