Updated6 Nov 2026

US stocks and ETFs, prices and SEC fundamentals since 2010

Updated 1 Nov 2026

6 MB across 12 parts, newest sealed 1 November 2026 at 05:26 UTC.

The first build wrote 12 parts and 3,553 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.

3,553 distinct values, no chart

Valid: 3,553 · 100%
Missing: 0 · 0%
Distinct: 3,553 · 100% of valid

cik

integer

SEC CIK of the filer.

17501905956

Valid: 3,553 · 100%
Missing: 0 · 0%
Distinct: 3,546 · 99.8% of valid
Min: 1750
25%: 880117
Median: 1316517
75%: 1623925
Max: 1905956

listed_cik

integer

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

17502119322

Valid: 3,553 · 100%
Missing: 0 · 0%
Distinct: 3,546 · 99.8% of valid
Min: 1750
25%: 880631
Median: 1319947
75%: 1627223
Max: 2119322

ticker

string

Primary ticker, such as AAPL.

3,546 distinct values, no chart

Valid: 3,553 · 100%
Missing: 0 · 0%
Distinct: 3,546 · 99.8% of valid

company_name

string

Company name on the EDGAR index.

3,547 distinct values, no chart

Valid: 3,553 · 100%
Missing: 0 · 0%
Distinct: 3,547 · 99.8% of valid

form

string

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

10-K100%
10-KT0%

Valid: 3,553 · 100%
Missing: 0 · 0%
Distinct: 2 · 0.1% of valid

filed_date

date

Date the report was filed.

2022-01-012022-12-01

per month

Valid: 3,553 · 100%
Missing: 0 · 0%
Distinct: 214 · 6% of valid

period_of_report

date

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

2019-01-012022-01-01

per year

Valid: 3,469 · 97.6%
Missing: 84 · 2.4%
Distinct: 66 · 1.9% of valid

fiscal_year

integer

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

20192022

Valid: 3,467 · 97.6%
Missing: 86 · 2.4%
Distinct: 4 · 0.1% of valid
Min: 2019
25%: 2021
Median: 2021
75%: 2021
Max: 2022

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 (50)

Valid: 3,467 · 97.6%
Missing: 86 · 2.4%
Distinct: 62 · 1.8% of valid

doc_url

string

Main document on EDGAR.

3,553 distinct values, no chart

Valid: 3,553 · 100%
Missing: 0 · 0%
Distinct: 3,553 · 100% of valid

index_url

string

Filing index page on EDGAR.

3,553 distinct values, no chart

Valid: 3,553 · 100%
Missing: 0 · 0%
Distinct: 3,553 · 100% of valid

doc_status

string

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

read98%
document not read2%

Valid: 3,553 · 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%
KPMG LLP11%
Other (273)

Valid: 3,442 · 96.9%
Missing: 111 · 3.1%
Distinct: 285 · 8.3% of valid

auditor_location

string

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

New York, New York6%
Boston, Massachusetts5%
Houston, Texas4%
Other (415)

Valid: 3,442 · 96.9%
Missing: 111 · 3.1%
Distinct: 427 · 12.4% of valid

auditor_pcaob_id

integer

The audit firm's PCAOB ID, as tagged.

23650100001

Valid: 3,440 · 96.8%
Missing: 113 · 3.2%
Distinct: 179 · 5.2% of valid
Min: 23
25%: 42
Median: 185
75%: 243
Max: 650100001

big4_auditor

boolean

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

true63%
false37%

Valid: 3,442 · 96.9%
Missing: 111 · 3.1%
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 filer53%
Non-accelerated filer35%
Accelerated filer12%

Valid: 3,470 · 97.7%
Missing: 83 · 2.3%
Distinct: 3 · 0.1% of valid

shell_company

boolean

True when the cover page checks the shell company box.

false97%
true3%

Valid: 3,470 · 97.7%
Missing: 83 · 2.3%
Distinct: 2 · 0.1% of valid

well_known_seasoned_issuer

boolean

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

false52%
true48%

Valid: 3,469 · 97.6%
Missing: 84 · 2.4%
Distinct: 2 · 0.1% of valid

smaller_reporting_company

boolean

True when the cover page checks smaller reporting company.

false64%
true36%

Valid: 3,468 · 97.6%
Missing: 85 · 2.4%
Distinct: 2 · 0.1% of valid

emerging_growth_company

boolean

True when the cover page checks emerging growth company.

false83%
true17%

Valid: 3,468 · 97.6%
Missing: 85 · 2.4%
Distinct: 2 · 0.1% of valid

icfr_auditor_attestation

boolean

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

true68%
false32%

Valid: 3,224 · 90.7%
Missing: 329 · 9.3%
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).

033533707317000000

Valid: 3,451 · 97.1%
Missing: 102 · 2.9%
Distinct: 2,926 · 84.8% of valid
Min: 0
25%: 169317461
Median: 1004696511
75%: 5205000000
Max: 33533707317000000

shares_outstanding

integer

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

063485760000

Valid: 3,464 · 97.5%
Missing: 89 · 2.5%
Distinct: 3,435 · 99.2% of valid
Min: 0
25%: 22592387
Median: 51200000
75%: 132805497
Max: 63485760000

incorporation_code

string

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

DE62%
MD6%
NV5%
Other (64)

Valid: 3,469 · 97.6%
Missing: 84 · 2.4%
Distinct: 76 · 2.2% of valid

hq_city

string

City of the principal executive offices, as tagged.

New York7%
Houston3%
San Francisco2%
Other (1,073)

Valid: 3,465 · 97.5%
Missing: 88 · 2.5%
Distinct: 1,085 · 31.3% of valid

hq_state

string

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

CA17%
NY11%
TX9%
Other (43)

Valid: 3,318 · 93.4%
Missing: 235 · 6.6%
Distinct: 55 · 1.7% 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).

false92%
true8%

Valid: 3,478 · 97.9%
Missing: 75 · 2.1%
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).

false82%
true18%

Valid: 3,478 · 97.9%
Missing: 75 · 2.1%
Distinct: 2 · 0.1% of valid

ai_mentions

integer

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

0776

Valid: 3,478 · 97.9%
Missing: 75 · 2.1%
Distinct: 64 · 1.8% of valid
Min: 0
25%: 0
Median: 0
75%: 0
Max: 776

tariff_mentions

integer

Times the report says tariff or tariffs.

079

Valid: 3,478 · 97.9%
Missing: 75 · 2.1%
Distinct: 42 · 1.2% of valid
Min: 0
25%: 0
Median: 1
75%: 3
Max: 79

doc_chars

integer

Characters of text in the main document.

96271033769

Valid: 3,478 · 97.9%
Missing: 75 · 2.1%
Distinct: 3,463 · 99.6% of valid
Min: 9627
25%: 331311
Median: 428639
75%: 538227
Max: 1033769

sections_found

integer

How many standard Items were found in the document.

Valid: 3,553 · 100%
Missing: 0 · 0%
Distinct: 10 · 0.3% of valid
Min: 0
25%: 6
Median: 7
75%: 8
Max: 9

business_chars

integer

Characters in Item 1 Business.

496692857

Valid: 3,318 · 93.4%
Missing: 235 · 6.6%
Distinct: 3,261 · 98.3% of valid
Min: 496
25%: 34020
Median: 53598
75%: 89372
Max: 692857

risk_factors_chars

integer

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

703390225

Valid: 3,180 · 89.5%
Missing: 373 · 10.5%
Distinct: 3,154 · 99.2% of valid
Min: 703
25%: 54318
Median: 80324
75%: 139825
Max: 390225

cybersecurity_chars

integer

Characters in Item 1C Cybersecurity.

0 distinct values, no chart

Valid: 0 · 0%
Missing: 3,553 · 100%
Distinct: 0 · 0% of valid

legal_proceedings_chars

integer

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

400297336

Valid: 1,722 · 48.5%
Missing: 1,831 · 51.5%
Distinct: 1,121 · 65.1% of valid
Min: 400
25%: 616
Median: 903
75%: 1858
Max: 297336

mdna_chars

integer

Characters in Item 7 Management's Discussion and Analysis.

437472786

Valid: 3,117 · 87.7%
Missing: 436 · 12.3%
Distinct: 3,060 · 98.2% of valid
Min: 437
25%: 40670
Median: 56855
75%: 79784
Max: 472786

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.

3,160 distinct values, no chart

Valid: 3,165 · 89.1%
Missing: 388 · 10.9%
Distinct: 3,160 · 99.8% 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.

2,218 distinct values, no chart

Valid: 2,259 · 63.6%
Missing: 1,294 · 36.4%
Distinct: 2,218 · 98.2% of valid

segments

string

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

2,136 distinct values, no chart

Valid: 2,158 · 60.7%
Missing: 1,395 · 39.3%
Distinct: 2,136 · 99% 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.

1,435 distinct values, no chart

Valid: 1,444 · 40.6%
Missing: 2,109 · 59.4%
Distinct: 1,435 · 99.4% 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.

1,110 distinct values, no chart

Valid: 1,113 · 31.3%
Missing: 2,440 · 68.7%
Distinct: 1,110 · 99.7% of valid

competitors

string

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

2,334 distinct values, no chart

Valid: 2,351 · 66.2%
Missing: 1,202 · 33.8%
Distinct: 2,334 · 99.3% 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, 202163%
September 30, 20223%
June 30, 20223%
Other (183)

Valid: 2,233 · 62.8%
Missing: 1,320 · 37.2%
Distinct: 195 · 8.7% 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.

1,456 distinct values, no chart

Valid: 1,676 · 47.2%
Missing: 1,877 · 52.8%
Distinct: 1,456 · 86.9% 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.

1,969 distinct values, no chart

Valid: 2,207 · 62.1%
Missing: 1,346 · 37.9%
Distinct: 1,969 · 89.2% 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.

1,164 distinct values, no chart

Valid: 1,167 · 32.8%
Missing: 2,386 · 67.2%
Distinct: 1,164 · 99.7% 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.

884 distinct values, no chart

Valid: 892 · 25.1%
Missing: 2,661 · 74.9%
Distinct: 884 · 99.1% 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.

393 distinct values, no chart

Valid: 393 · 11.1%
Missing: 3,160 · 88.9%
Distinct: 393 · 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.

1,902 distinct values, no chart

Valid: 2,080 · 58.5%
Missing: 1,473 · 41.5%
Distinct: 1,902 · 91.4% of valid

website

string

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

2,145 distinct values, no chart

Valid: 2,176 · 61.2%
Missing: 1,377 · 38.8%
Distinct: 2,145 · 98.6% of valid

employees_text

string

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

2,368 distinct values, no chart

Valid: 2,444 · 68.8%
Missing: 1,109 · 31.2%
Distinct: 2,368 · 96.9% of valid

employees_count

integer

Number of employees parsed from employees_text.

189400000

Valid: 2,194 · 61.8%
Missing: 1,359 · 38.2%
Distinct: 1,370 · 62.4% of valid
Min: 1
25%: 287
Median: 1721
75%: 8100
Max: 89400000

founded_year

integer

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

17842022

Valid: 2,193 · 61.7%
Missing: 1,360 · 38.3%
Distinct: 182 · 8.3% of valid
Min: 1784
25%: 1971
Median: 1995
75%: 2009
Max: 2022

extraction_model

string

The extraction model pin that answered.

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

Valid: 3,217 · 90.5%
Missing: 336 · 9.5%
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%
Information Technology15%

Valid: 3,316 · 93.3%
Missing: 237 · 6.7%
Distinct: 12 · 0.4% of valid

sector_confidence

decimal

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

0.22230.9802

Valid: 3,316 · 93.3%
Missing: 237 · 6.7%
Distinct: 2,256 · 68% of valid
Min: 0.2223
25%: 0.6528
Median: 0.8480
75%: 0.9238
Max: 0.9802

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 consumers23%
consumers12%

Valid: 3,316 · 93.3%
Missing: 237 · 6.7%
Distinct: 5 · 0.2% of valid

business_model_confidence

decimal

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

0.22220.9780

Valid: 3,316 · 93.3%
Missing: 237 · 6.7%
Distinct: 2,489 · 75.1% of valid
Min: 0.2222
25%: 0.5960
Median: 0.7972
75%: 0.8997
Max: 0.9780

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 sales39%
services or contracts14%
interest and lending10%

Valid: 3,316 · 93.3%
Missing: 237 · 6.7%
Distinct: 11 · 0.3% of valid

revenue_model_confidence

decimal

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

0.18130.9679

Valid: 3,316 · 93.3%
Missing: 237 · 6.7%
Distinct: 2,556 · 77.1% of valid
Min: 0.1813
25%: 0.5403
Median: 0.7448
75%: 0.8530
Max: 0.9679

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.

none75%
peripheral19%
significant5%

Valid: 3,316 · 93.3%
Missing: 237 · 6.7%
Distinct: 4 · 0.1% of valid

ai_exposure_confidence

decimal

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

0.29140.9877

Valid: 3,316 · 93.3%
Missing: 237 · 6.7%
Distinct: 1,903 · 57.4% of valid
Min: 0.2914
25%: 0.6918
Median: 0.9255
75%: 0.9662
Max: 0.9877

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 company60%
clinical-stage biotech12%
bank or lender8%

Valid: 3,316 · 93.3%
Missing: 237 · 6.7%
Distinct: 10 · 0.3% of valid

company_type_confidence

decimal

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

0.23030.9799

Valid: 3,316 · 93.3%
Missing: 237 · 6.7%
Distinct: 2,376 · 71.7% of valid
Min: 0.2303
25%: 0.6477
Median: 0.7862
75%: 0.8754
Max: 0.9799

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 States53%
global44%
mostly outside the United States3%

Valid: 3,316 · 93.3%
Missing: 237 · 6.7%
Distinct: 4 · 0.1% of valid

geographic_focus_confidence

decimal

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

0.29880.9808

Valid: 3,316 · 93.3%
Missing: 237 · 6.7%
Distinct: 2,078 · 62.7% of valid
Min: 0.2988
25%: 0.7268
Median: 0.8940
75%: 0.9455
Max: 0.9808

classification_model

string

The classification model pin that answered.

cloudflare/clef-flash-fp8-17f0b0ad100%

Valid: 3,316 · 93.3%
Missing: 237 · 6.7%
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 demand17%
supply chain and manufacturing11%
Other (3)

Valid: 3,180 · 89.5%
Missing: 373 · 10.5%
Distinct: 15 · 0.5% of valid

top_risk_theme_confidence

decimal

Probability of the top_risk_theme label, 0 to 1.

0.15530.9125

Valid: 3,180 · 89.5%
Missing: 373 · 10.5%
Distinct: 2,367 · 74.4% of valid
Min: 0.1553
25%: 0.3119
Median: 0.4004
75%: 0.5296
Max: 0.9125

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).

false58%
true42%

Valid: 3,180 · 89.5%
Missing: 373 · 10.5%
Distinct: 2 · 0.1% of valid

tariff_risk_probability

decimal

Probability the classification model gave tariff_risk, 0 to 1.

0.00750.9823

Valid: 3,180 · 89.5%
Missing: 373 · 10.5%
Distinct: 1,176 · 37% of valid
Min: 0.0075
25%: 0.0188
Median: 0.1152
75%: 0.9279
Max: 0.9823

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).

false98%
true2%

Valid: 3,180 · 89.5%
Missing: 373 · 10.5%
Distinct: 2 · 0.1% of valid

ai_risk_probability

decimal

Probability the classification model gave ai_risk, 0 to 1.

0.00770.9519

Valid: 3,180 · 89.5%
Missing: 373 · 10.5%
Distinct: 427 · 13.4% of valid
Min: 0.0077
25%: 0.0130
Median: 0.0162
75%: 0.0218
Max: 0.9519

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).

false94%
true6%

Valid: 3,180 · 89.5%
Missing: 373 · 10.5%
Distinct: 2 · 0.1% of valid

going_concern_risk_probability

decimal

Probability the classification model gave going_concern_risk, 0 to 1.

0.00680.9746

Valid: 3,180 · 89.5%
Missing: 373 · 10.5%
Distinct: 879 · 27.6% of valid
Min: 0.0068
25%: 0.0145
Median: 0.0230
75%: 0.0671
Max: 0.9746

business_excerpt

string

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

3,316 distinct values, no chart

Valid: 3,318 · 93.4%
Missing: 235 · 6.6%
Distinct: 3,316 · 99.9% of valid

search_text

string

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

3,548 distinct values, no chart

Valid: 3,553 · 100%
Missing: 0 · 0%
Distinct: 3,548 · 99.9% of valid