Updated6 Nov 2026

US stocks and ETFs, prices and SEC fundamentals since 2010

Updated 1 Nov 2026

6.5 MB across 12 parts, newest sealed 1 November 2026 at 05:48 UTC.

The first build wrote 12 parts and 3,780 rows.

ONE_ROW_PER_REPORT passed.

AUDITOR_MOSTLY_TAGGED passed.

DESCRIPTIONS_MOSTLY_FOUND passed.

CONFIDENCE_IS_PROBABILITY passed.

ABOUT_3000_REPORTS passed.

accession

string

The SEC accession number of the annual report.

3,780 distinct values, no chart

Valid: 3,780 · 100%
Missing: 0 · 0%
Distinct: 3,780 · 100% of valid

cik

integer

SEC CIK of the filer.

17502013807

Valid: 3,780 · 100%
Missing: 0 · 0%
Distinct: 3,767 · 99.7% of valid
Min: 1750
25%: 889348
Median: 1357459
75%: 1667011
Max: 2013807

listed_cik

integer

CIK of the listed security in source_securities (differs for a successor or predecessor registrant).

17502119322

Valid: 3,780 · 100%
Missing: 0 · 0%
Distinct: 3,767 · 99.7% of valid
Min: 1750
25%: 889971
Median: 1360565
75%: 1671858
Max: 2119322

ticker

string

Primary ticker, such as AAPL.

3,767 distinct values, no chart

Valid: 3,780 · 100%
Missing: 0 · 0%
Distinct: 3,767 · 99.7% of valid

company_name

string

Company name on the EDGAR index.

3,768 distinct values, no chart

Valid: 3,780 · 100%
Missing: 0 · 0%
Distinct: 3,768 · 99.7% of valid

form

string

Form type: 10-K, 10-KT or 10-K405.

10-K100%
10-KT0%

Valid: 3,780 · 100%
Missing: 0 · 0%
Distinct: 2 · 0.1% of valid

filed_date

date

Date the report was filed.

2024-01-012024-12-01

per month

Valid: 3,780 · 100%
Missing: 0 · 0%
Distinct: 223 · 5.9% of valid

period_of_report

date

Fiscal year end the report covers, as the cover page tags it (dei:DocumentPeriodEndDate).

2023-01-012024-10-01

per quarter

Valid: 3,743 · 99%
Missing: 37 · 1%
Distinct: 62 · 1.7% of valid

fiscal_year

integer

Fiscal year the report covers, as tagged (dei:DocumentFiscalYearFocus).

20212024

Valid: 3,741 · 99%
Missing: 39 · 1%
Distinct: 4 · 0.1% of valid
Min: 2021
25%: 2023
Median: 2023
75%: 2023
Max: 2024

fiscal_year_end

string

Fiscal year end month and day as tagged, MM-DD, such as 09-27.

12-3178%
06-304%
09-303%
Other (49)

Valid: 3,741 · 99%
Missing: 39 · 1%
Distinct: 61 · 1.6% of valid

doc_url

string

Main document on EDGAR.

3,780 distinct values, no chart

Valid: 3,780 · 100%
Missing: 0 · 0%
Distinct: 3,780 · 100% of valid

index_url

string

Filing index page on EDGAR.

3,780 distinct values, no chart

Valid: 3,780 · 100%
Missing: 0 · 0%
Distinct: 3,780 · 100% of valid

doc_status

string

Whether the main document was read: read, document not read, index not read or no main document.

read97%
document not read3%

Valid: 3,780 · 100%
Missing: 0 · 0%
Distinct: 2 · 0.1% of valid

auditor_name

string

Audit firm that signed the report, as tagged (dei:AuditorName), such as Ernst & Young LLP.

Ernst & Young LLP18%
PricewaterhouseCoopers LLP15%
Deloitte & Touche LLP12%
Other (279)

Valid: 3,744 · 99%
Missing: 36 · 1%
Distinct: 291 · 7.8% of valid

auditor_location

string

City and state of the signing audit office, as tagged.

New York, New York6%
Boston, Massachusetts5%
Houston, Texas4%
Other (428)

Valid: 3,744 · 99%
Missing: 36 · 1%
Distinct: 440 · 11.8% of valid

auditor_pcaob_id

integer

The audit firm's PCAOB ID, as tagged.

237000

Valid: 3,744 · 99%
Missing: 36 · 1%
Distinct: 191 · 5.1% of valid
Min: 23
25%: 42
Median: 185
75%: 248
Max: 7000

big4_auditor

boolean

True when the auditor is Deloitte, EY, PwC or KPMG (rule on auditor_name).

true63%
false37%

Valid: 3,744 · 99%
Missing: 36 · 1%
Distinct: 2 · 0.1% of valid

filer_category

string

SEC filer category as tagged: Large accelerated filer, Accelerated filer or Non-accelerated filer.

Large accelerated filer50%
Non-accelerated filer34%
Accelerated filer16%

Valid: 3,744 · 99%
Missing: 36 · 1%
Distinct: 3 · 0.1% of valid

shell_company

boolean

True when the cover page checks the shell company box.

false99%
true1%

Valid: 3,744 · 99%
Missing: 36 · 1%
Distinct: 2 · 0.1% of valid

well_known_seasoned_issuer

boolean

True when the cover page checks well-known seasoned issuer.

false53%
true47%

Valid: 3,744 · 99%
Missing: 36 · 1%
Distinct: 2 · 0.1% of valid

smaller_reporting_company

boolean

True when the cover page checks smaller reporting company.

false62%
true38%

Valid: 3,743 · 99%
Missing: 37 · 1%
Distinct: 2 · 0.1% of valid

emerging_growth_company

boolean

True when the cover page checks emerging growth company.

false85%
true15%

Valid: 3,744 · 99%
Missing: 36 · 1%
Distinct: 2 · 0.1% of valid

icfr_auditor_attestation

boolean

True when the auditor attested to internal control over financial reporting, as tagged.

true65%
false35%

Valid: 3,667 · 97%
Missing: 113 · 3%
Distinct: 2 · 0.1% of valid

public_float_usd

decimal

Market value of shares held by non-affiliates, in US dollars, as tagged on the cover page (dei:EntityPublicFloat, scaled).

019900658494000000

Valid: 3,736 · 98.8%
Missing: 44 · 1.2%
Distinct: 3,150 · 84.3% of valid
Min: 0
25%: 95200000
Median: 676786595
75%: 4178432430
Max: 19900658494000000

shares_outstanding

integer

Common shares outstanding as tagged on the cover page (first class when several).

055660578000

Valid: 3,739 · 98.9%
Missing: 41 · 1.1%
Distinct: 3,729 · 99.7% of valid
Min: 0
25%: 18845044
Median: 50536912
75%: 131179034
Max: 55660578000

incorporation_code

string

State or country of incorporation as tagged, such as DE or CA.

DE62%
MD6%
NV5%
Other (65)

Valid: 3,744 · 99%
Missing: 36 · 1%
Distinct: 77 · 2.1% of valid

hq_city

string

City of the principal executive offices, as tagged.

New York7%
Houston3%
Dallas2%
Other (1,103)

Valid: 3,741 · 99%
Missing: 39 · 1%
Distinct: 1,115 · 29.8% of valid

hq_state

string

State or province of the principal executive offices, as tagged.

CA17%
NY10%
TX10%
Other (43)

Valid: 3,582 · 94.8%
Missing: 198 · 5.2%
Distinct: 55 · 1.5% of valid

going_concern_doubt

boolean

True when the report states substantial doubt about the company's ability to continue as a going concern (rule on the full text).

false87%
true13%

Valid: 3,676 · 97.2%
Missing: 104 · 2.8%
Distinct: 2 · 0.1% of valid

material_weakness

boolean

True when the report says a material weakness was identified or internal control was not effective (rule on the full text).

false79%
true21%

Valid: 3,676 · 97.2%
Missing: 104 · 2.8%
Distinct: 2 · 0.1% of valid

ai_mentions

integer

Times the report says artificial intelligence, machine learning, generative AI or AI.

0885

Valid: 3,676 · 97.2%
Missing: 104 · 2.8%
Distinct: 116 · 3.2% of valid
Min: 0
25%: 0
Median: 1
75%: 5
Max: 885

tariff_mentions

integer

Times the report says tariff or tariffs.

078

Valid: 3,676 · 97.2%
Missing: 104 · 2.8%
Distinct: 46 · 1.3% of valid
Min: 0
25%: 0
Median: 1
75%: 3
Max: 78

doc_chars

integer

Characters of text in the main document.

101181030535

Valid: 3,676 · 97.2%
Missing: 104 · 2.8%
Distinct: 3,666 · 99.7% of valid
Min: 10118
25%: 341365
Median: 437296
75%: 545295
Max: 1030535

sections_found

integer

How many standard Items were found in the document.

010

Valid: 3,780 · 100%
Missing: 0 · 0%
Distinct: 11 · 0.3% of valid
Min: 0
25%: 7
Median: 8
75%: 9
Max: 10

business_chars

integer

Characters in Item 1 Business.

496652352

Valid: 3,509 · 92.8%
Missing: 271 · 7.2%
Distinct: 3,465 · 98.7% of valid
Min: 496
25%: 33448
Median: 52522
75%: 88047
Max: 652352

risk_factors_chars

integer

Characters in Item 1A Risk Factors; a long section means many risks.

461716218

Valid: 3,367 · 89.1%
Missing: 413 · 10.9%
Distinct: 3,343 · 99.3% of valid
Min: 461
25%: 57850
Median: 85272
75%: 144575
Max: 716218

cybersecurity_chars

integer

Characters in Item 1C Cybersecurity.

406309334

Valid: 3,357 · 88.8%
Missing: 423 · 11.2%
Distinct: 2,687 · 80% of valid
Min: 406
25%: 3846
Median: 5201
75%: 6796
Max: 309334

legal_proceedings_chars

integer

Characters in Item 3 Legal Proceedings, when long enough to stand alone.

400504606

Valid: 1,937 · 51.2%
Missing: 1,843 · 48.8%
Distinct: 1,204 · 62.2% of valid
Min: 400
25%: 608
Median: 881
75%: 1750
Max: 504606

mdna_chars

integer

Characters in Item 7 Management's Discussion and Analysis.

440733950

Valid: 3,308 · 87.5%
Missing: 472 · 12.5%
Distinct: 3,245 · 98.1% of valid
Min: 440
25%: 38793
Median: 53494
75%: 73454
Max: 733950

business_description

string

What the company does, in its own words, one to three sentences, as our extraction model found it verbatim in Item 1 Business.

3,354 distinct values, no chart

Valid: 3,358 · 88.8%
Missing: 422 · 11.2%
Distinct: 3,354 · 99.9% of valid

products

string

The main products or services the company sells, comma separated, as our extraction model found it verbatim in Item 1 Business.

2,435 distinct values, no chart

Valid: 2,482 · 65.7%
Missing: 1,298 · 34.3%
Distinct: 2,435 · 98.1% of valid

segments

string

The reportable business segments, comma separated, as our extraction model found it verbatim in Item 1 Business.

2,266 distinct values, no chart

Valid: 2,292 · 60.6%
Missing: 1,488 · 39.4%
Distinct: 2,266 · 98.9% of valid

major_customers

string

Customers the text names as major, significant or accounting for a stated share of revenue, as our extraction model found it verbatim in Item 1 Business.

1,495 distinct values, no chart

Valid: 1,502 · 39.7%
Missing: 2,278 · 60.3%
Distinct: 1,495 · 99.5% of valid

customer_concentration

string

The sentence stating what share of revenue comes from the largest customer or customers, as our extraction model found it verbatim in Item 1 Business.

1,146 distinct values, no chart

Valid: 1,150 · 30.4%
Missing: 2,630 · 69.6%
Distinct: 1,146 · 99.7% of valid

competitors

string

Competitor companies the text names, comma separated, as our extraction model found it verbatim in Item 1 Business.

2,489 distinct values, no chart

Valid: 2,511 · 66.4%
Missing: 1,269 · 33.6%
Distinct: 2,489 · 99.1% of valid

employees_as_of

string

The date the employee count is stated as of, as our extraction model found it verbatim in Item 1 Business.

December 31, 202364%
June 30, 20244%
September 30, 20243%
Other (201)

Valid: 2,405 · 63.6%
Missing: 1,375 · 36.4%
Distinct: 213 · 8.9% of valid

headquarters

string

The city and state or country of the headquarters or principal executive offices, as our extraction model found it verbatim in Item 1 Business.

1,536 distinct values, no chart

Valid: 1,793 · 47.4%
Missing: 1,987 · 52.6%
Distinct: 1,536 · 85.7% of valid

markets

string

The geographic markets, regions or countries where the company operates or sells, comma separated, as our extraction model found it verbatim in Item 1 Business.

2,115 distinct values, no chart

Valid: 2,363 · 62.5%
Missing: 1,417 · 37.5%
Distinct: 2,115 · 89.5% of valid

manufacturing

string

How or where products are made: own plants and their locations, or contract manufacturers named, as our extraction model found it verbatim in Item 1 Business.

1,282 distinct values, no chart

Valid: 1,287 · 34%
Missing: 2,493 · 66%
Distinct: 1,282 · 99.6% of valid

key_suppliers

string

Suppliers the text names as key, sole or single-source, as our extraction model found it verbatim in Item 1 Business.

1,021 distinct values, no chart

Valid: 1,031 · 27.3%
Missing: 2,749 · 72.7%
Distinct: 1,021 · 99% of valid

backlog

string

The stated backlog or remaining performance obligations amount, with its date, as our extraction model found it verbatim in Item 1 Business.

379 distinct values, no chart

Valid: 379 · 10%
Missing: 3,401 · 90%
Distinct: 379 · 100% of valid

regulators

string

Government agencies or regulators named as regulating the business, comma separated, as our extraction model found it verbatim in Item 1 Business.

2,079 distinct values, no chart

Valid: 2,300 · 60.8%
Missing: 1,480 · 39.2%
Distinct: 2,079 · 90.4% of valid

website

string

The company's own website address, as our extraction model found it verbatim in Item 1 Business.

2,322 distinct values, no chart

Valid: 2,353 · 62.2%
Missing: 1,427 · 37.8%
Distinct: 2,322 · 98.7% of valid

employees_text

string

The employee count as written, as our extraction model found it verbatim in Item 1 Business.

2,516 distinct values, no chart

Valid: 2,587 · 68.4%
Missing: 1,193 · 31.6%
Distinct: 2,516 · 97.3% of valid

employees_count

integer

Number of employees parsed from employees_text.

296700000

Valid: 2,360 · 62.4%
Missing: 1,420 · 37.6%
Distinct: 1,391 · 58.9% of valid
Min: 2
25%: 227
Median: 1548
75%: 7660
Max: 96700000

founded_year

integer

Year founded or incorporated, parsed from the extraction model's answer.

17402023

Valid: 2,262 · 59.8%
Missing: 1,518 · 40.2%
Distinct: 186 · 8.2% of valid
Min: 1740
25%: 1972
Median: 1996
75%: 2009
Max: 2023

extraction_model

string

The extraction model pin that answered.

mostlyright/nuextract3-web-g-fp8-24086297100%

Valid: 3,408 · 90.2%
Missing: 372 · 9.8%
Distinct: 1 · 0% of valid

sector

string

Which GICS sector best describes the company's main business? One of: Information Technology, Health Care, Financials, Real Estate, Energy, Utilities, Materials, Industrials, Consumer Discretionary, Consumer Staples, Communication Services, none fits; a label from a small classification model reading the report's own text, with its probability beside it.

Health Care22%
Financials16%
Industrials15%

Valid: 3,508 · 92.8%
Missing: 272 · 7.2%
Distinct: 12 · 0.3% of valid

sector_confidence

decimal

Probability the classification model gave the sector label, 0 to 1.

0.20490.9811

Valid: 3,508 · 92.8%
Missing: 272 · 7.2%
Distinct: 2,343 · 66.8% of valid
Min: 0.2049
25%: 0.6634
Median: 0.8484
75%: 0.9236
Max: 0.9811

business_model

string

Who does the company mainly sell to? One of: businesses, consumers, both businesses and consumers, governments, none fits; a label from a small classification model reading the report's own text, with its probability beside it.

businesses61%
both businesses and consumers22%
consumers13%

Valid: 3,508 · 92.8%
Missing: 272 · 7.2%
Distinct: 5 · 0.1% of valid

business_model_confidence

decimal

Probability the classification model gave the business_model label, 0 to 1.

0.21860.9774

Valid: 3,508 · 92.8%
Missing: 272 · 7.2%
Distinct: 2,563 · 73.1% of valid
Min: 0.2186
25%: 0.5755
Median: 0.7935
75%: 0.8994
Max: 0.9774

revenue_model

string

How does the company mainly earn its revenue? One of: product sales, subscriptions or recurring fees, services or contracts, transaction or usage fees, interest and lending, insurance premiums, rent from property, royalties or licensing, advertising, selling commodities it produces, none fits; a label from a small classification model reading the report's own text, with its probability beside it.

product sales40%
services or contracts14%
interest and lending9%

Valid: 3,508 · 92.8%
Missing: 272 · 7.2%
Distinct: 11 · 0.3% of valid

revenue_model_confidence

decimal

Probability the classification model gave the revenue_model label, 0 to 1.

0.19910.9725

Valid: 3,508 · 92.8%
Missing: 272 · 7.2%
Distinct: 2,627 · 74.9% of valid
Min: 0.1991
25%: 0.5262
Median: 0.7441
75%: 0.8542
Max: 0.9725

ai_exposure

string

How central is artificial intelligence to the company's business? One of: core, significant, peripheral, none; a label from a small classification model reading the report's own text, with its probability beside it.

none70%
peripheral21%
significant8%

Valid: 3,508 · 92.8%
Missing: 272 · 7.2%
Distinct: 4 · 0.1% of valid

ai_exposure_confidence

decimal

Probability the classification model gave the ai_exposure label, 0 to 1.

0.33100.9843

Valid: 3,508 · 92.8%
Missing: 272 · 7.2%
Distinct: 2,026 · 57.8% of valid
Min: 0.3310
25%: 0.6808
Median: 0.9104
75%: 0.9638
Max: 0.9843

company_type

string

What kind of company is this? One of: operating company, bank or lender, insurer, real estate investment trust, fund, trust or business development company, blank-check or shell company, clinical-stage biotech, asset manager or broker, utility, none fits; a label from a small classification model reading the report's own text, with its probability beside it.

operating company61%
clinical-stage biotech13%
bank or lender8%

Valid: 3,508 · 92.8%
Missing: 272 · 7.2%
Distinct: 10 · 0.3% of valid

company_type_confidence

decimal

Probability the classification model gave the company_type label, 0 to 1.

0.20040.9792

Valid: 3,508 · 92.8%
Missing: 272 · 7.2%
Distinct: 2,484 · 70.8% of valid
Min: 0.2004
25%: 0.6418
Median: 0.7782
75%: 0.8680
Max: 0.9792

geographic_focus

string

Where does the company mainly do business? One of: mostly the United States, global, mostly outside the United States, none fits; a label from a small classification model reading the report's own text, with its probability beside it.

mostly the United States54%
global44%
mostly outside the United States3%

Valid: 3,508 · 92.8%
Missing: 272 · 7.2%
Distinct: 4 · 0.1% of valid

geographic_focus_confidence

decimal

Probability the classification model gave the geographic_focus label, 0 to 1.

0.27400.9838

Valid: 3,508 · 92.8%
Missing: 272 · 7.2%
Distinct: 2,169 · 61.8% of valid
Min: 0.2740
25%: 0.7276
Median: 0.8936
75%: 0.9445
Max: 0.9838

classification_model

string

The classification model pin that answered.

cloudflare/clef-flash-fp8-17f0b0ad100%

Valid: 3,508 · 92.8%
Missing: 272 · 7.2%
Distinct: 1 · 0% of valid

top_risk_theme

string

The theme Item 1A Risk Factors stresses most. One of: competition, regulation and government policy, economy and demand, supply chain and manufacturing, cybersecurity and technology, liquidity, debt or going concern, litigation, customer concentration, interest rates and credit, commodity prices, geopolitics and international operations, clinical trials and product approval, key people, intellectual property, none fits; a label from a small classification model reading the report's own text, with its probability beside it.

regulation and government policy20%
economy and demand14%
liquidity, debt or going concern14%
Other (3)

Valid: 3,366 · 89%
Missing: 414 · 11%
Distinct: 15 · 0.4% of valid

top_risk_theme_confidence

decimal

Probability of the top_risk_theme label, 0 to 1.

0.13410.9296

Valid: 3,366 · 89%
Missing: 414 · 11%
Distinct: 2,512 · 74.6% of valid
Min: 0.1341
25%: 0.3134
Median: 0.4133
75%: 0.5474
Max: 0.9296

tariff_risk

boolean

True when the classification model judged that the text says tariffs or trade restrictions are a risk to the company (probability at least 0.5).

false57%
true43%

Valid: 3,366 · 89%
Missing: 414 · 11%
Distinct: 2 · 0.1% of valid

tariff_risk_probability

decimal

Probability the classification model gave tariff_risk, 0 to 1.

0.00660.9831

Valid: 3,366 · 89%
Missing: 414 · 11%
Distinct: 1,209 · 35.9% of valid
Min: 0.0066
25%: 0.0200
Median: 0.1399
75%: 0.9315
Max: 0.9831

ai_risk

boolean

True when the classification model judged that the text says artificial intelligence is a risk to the company, as a competitive threat, a regulatory issue or a risk of its own use of AI (probability at least 0.5).

false76%
true24%

Valid: 3,366 · 89%
Missing: 414 · 11%
Distinct: 2 · 0.1% of valid

ai_risk_probability

decimal

Probability the classification model gave ai_risk, 0 to 1.

0.00730.9759

Valid: 3,366 · 89%
Missing: 414 · 11%
Distinct: 957 · 28.4% of valid
Min: 0.0073
25%: 0.0141
Median: 0.0191
75%: 0.4668
Max: 0.9759

going_concern_risk

boolean

True when the classification model judged that the text says there is substantial doubt about the company's ability to continue as a going concern (probability at least 0.5).

false90%
true10%

Valid: 3,366 · 89%
Missing: 414 · 11%
Distinct: 2 · 0.1% of valid

going_concern_risk_probability

decimal

Probability the classification model gave going_concern_risk, 0 to 1.

0.00680.9780

Valid: 3,366 · 89%
Missing: 414 · 11%
Distinct: 846 · 25.1% of valid
Min: 0.0068
25%: 0.0131
Median: 0.0199
75%: 0.0685
Max: 0.9780

business_excerpt

string

The first 1,200 characters of Item 1 Business, verbatim.

3,508 distinct values, no chart

Valid: 3,509 · 92.8%
Missing: 271 · 7.2%
Distinct: 3,508 · 100% of valid

search_text

string

Ticker, name, business description, products, segments and sector folded into one column for search.

3,777 distinct values, no chart

Valid: 3,780 · 100%
Missing: 0 · 0%
Distinct: 3,777 · 99.9% of valid