Updated6 Nov 2026

US stocks and ETFs, prices and SEC fundamentals since 2010

Updated 1 Nov 2026

6.7 MB across 12 parts, newest sealed 1 November 2026 at 06:20 UTC.

The first build wrote 12 parts and 3,961 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.

3,961 distinct values, no chart

Valid: 3,961 · 100%
Missing: 0 · 0%
Distinct: 3,961 · 100% of valid

cik

integer

SEC CIK of the filer.

17502052959

Valid: 3,961 · 100%
Missing: 0 · 0%
Distinct: 3,950 · 99.7% of valid
Min: 1750
25%: 898437
Median: 1386570
75%: 1702744
Max: 2052959

listed_cik

integer

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

17502119322

Valid: 3,961 · 100%
Missing: 0 · 0%
Distinct: 3,950 · 99.7% of valid
Min: 1750
25%: 899460
Median: 1389170
75%: 1703956
Max: 2119322

ticker

string

Primary ticker, such as AAPL.

3,950 distinct values, no chart

Valid: 3,961 · 100%
Missing: 0 · 0%
Distinct: 3,950 · 99.7% of valid

company_name

string

Company name on the EDGAR index.

3,951 distinct values, no chart

Valid: 3,961 · 100%
Missing: 0 · 0%
Distinct: 3,951 · 99.7% of valid

form

string

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

10-K100%
10-KT0%

Valid: 3,961 · 100%
Missing: 0 · 0%
Distinct: 2 · 0.1% of valid

filed_date

date

Date the report was filed.

2025-01-012025-12-01

per month

Valid: 3,961 · 100%
Missing: 0 · 0%
Distinct: 222 · 5.6% of valid

period_of_report

date

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

2024-04-012025-10-01

per quarter

Valid: 3,920 · 99%
Missing: 41 · 1%
Distinct: 61 · 1.6% of valid

fiscal_year

integer

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

20212027

Valid: 3,918 · 98.9%
Missing: 43 · 1.1%
Distinct: 5 · 0.1% of valid
Min: 2021
25%: 2024
Median: 2024
75%: 2024
Max: 2027

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 (46)

Valid: 3,918 · 98.9%
Missing: 43 · 1.1%
Distinct: 58 · 1.5% of valid

doc_url

string

Main document on EDGAR.

3,961 distinct values, no chart

Valid: 3,961 · 100%
Missing: 0 · 0%
Distinct: 3,961 · 100% of valid

index_url

string

Filing index page on EDGAR.

3,961 distinct values, no chart

Valid: 3,961 · 100%
Missing: 0 · 0%
Distinct: 3,961 · 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: 3,961 · 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 LLP17%
PricewaterhouseCoopers LLP15%
Deloitte & Touche LLP12%
Other (283)

Valid: 3,922 · 99%
Missing: 39 · 1%
Distinct: 295 · 7.5% of valid

auditor_location

string

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

New York, New York7%
Boston, Massachusetts6%
Houston, Texas4%
Other (419)

Valid: 3,922 · 99%
Missing: 39 · 1%
Distinct: 431 · 11% of valid

auditor_pcaob_id

integer

The audit firm's PCAOB ID, as tagged.

12669256

Valid: 3,922 · 99%
Missing: 39 · 1%
Distinct: 197 · 5% of valid
Min: 12
25%: 42
Median: 185
75%: 248
Max: 669256

big4_auditor

boolean

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

true63%
false37%

Valid: 3,922 · 99%
Missing: 39 · 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 filer49%
Non-accelerated filer35%
Accelerated filer16%

Valid: 3,921 · 99%
Missing: 40 · 1%
Distinct: 3 · 0.1% of valid

shell_company

boolean

True when the cover page checks the shell company box.

false99%
true1%

Valid: 3,921 · 99%
Missing: 40 · 1%
Distinct: 2 · 0.1% of valid

well_known_seasoned_issuer

boolean

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

false54%
true46%

Valid: 3,921 · 99%
Missing: 40 · 1%
Distinct: 2 · 0.1% of valid

smaller_reporting_company

boolean

True when the cover page checks smaller reporting company.

false61%
true39%

Valid: 3,919 · 98.9%
Missing: 42 · 1.1%
Distinct: 2 · 0.1% of valid

emerging_growth_company

boolean

True when the cover page checks emerging growth company.

false84%
true16%

Valid: 3,921 · 99%
Missing: 40 · 1%
Distinct: 2 · 0.1% of valid

icfr_auditor_attestation

boolean

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

true64%
false36%

Valid: 3,852 · 97.2%
Missing: 109 · 2.8%
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).

016124636098000000

Valid: 3,915 · 98.8%
Missing: 46 · 1.2%
Distinct: 3,251 · 83% of valid
Min: 0
25%: 81346226
Median: 612684314
75%: 4196977000
Max: 16124636098000000

shares_outstanding

integer

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

057752981523

Valid: 3,911 · 98.7%
Missing: 50 · 1.3%
Distinct: 3,892 · 99.5% of valid
Min: 0
25%: 18326672
Median: 50474294
75%: 131961370
Max: 57752981523

incorporation_code

string

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

DE62%
MD6%
NV6%
Other (66)

Valid: 3,921 · 99%
Missing: 40 · 1%
Distinct: 78 · 2% of valid

hq_city

string

City of the principal executive offices, as tagged.

New York7%
Houston3%
Dallas2%
Other (1,125)

Valid: 3,917 · 98.9%
Missing: 44 · 1.1%
Distinct: 1,137 · 29% of valid

hq_state

string

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

CA17%
NY11%
TX10%
Other (43)

Valid: 3,749 · 94.6%
Missing: 212 · 5.4%
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).

false86%
true14%

Valid: 3,851 · 97.2%
Missing: 110 · 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).

false78%
true22%

Valid: 3,851 · 97.2%
Missing: 110 · 2.8%
Distinct: 2 · 0.1% of valid

ai_mentions

integer

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

0969

Valid: 3,851 · 97.2%
Missing: 110 · 2.8%
Distinct: 152 · 3.9% of valid
Min: 0
25%: 0
Median: 3
75%: 14
Max: 969

tariff_mentions

integer

Times the report says tariff or tariffs.

089

Valid: 3,851 · 97.2%
Missing: 110 · 2.8%
Distinct: 64 · 1.7% of valid
Min: 0
25%: 1
Median: 3
75%: 9
Max: 89

doc_chars

integer

Characters of text in the main document.

101361034224

Valid: 3,851 · 97.2%
Missing: 110 · 2.8%
Distinct: 3,841 · 99.7% of valid
Min: 10136
25%: 346557
Median: 441177
75%: 549570
Max: 1034224

sections_found

integer

How many standard Items were found in the document.

010

Valid: 3,961 · 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.

496755755

Valid: 3,690 · 93.2%
Missing: 271 · 6.8%
Distinct: 3,633 · 98.5% of valid
Min: 496
25%: 33149
Median: 51926
75%: 89011
Max: 755755

risk_factors_chars

integer

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

457628309

Valid: 3,527 · 89%
Missing: 434 · 11%
Distinct: 3,507 · 99.4% of valid
Min: 457
25%: 59961
Median: 89458
75%: 152047
Max: 628309

cybersecurity_chars

integer

Characters in Item 1C Cybersecurity.

538300007

Valid: 3,566 · 90%
Missing: 395 · 10%
Distinct: 2,832 · 79.4% of valid
Min: 538
25%: 3921
Median: 5287
75%: 6907
Max: 300007

legal_proceedings_chars

integer

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

400483918

Valid: 2,023 · 51.1%
Missing: 1,938 · 48.9%
Distinct: 1,215 · 60.1% of valid
Min: 400
25%: 612
Median: 876
75%: 1733
Max: 483918

mdna_chars

integer

Characters in Item 7 Management's Discussion and Analysis.

440764977

Valid: 3,463 · 87.4%
Missing: 498 · 12.6%
Distinct: 3,383 · 97.7% of valid
Min: 440
25%: 37877
Median: 52337
75%: 72063
Max: 764977

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.

3,504 distinct values, no chart

Valid: 3,513 · 88.7%
Missing: 448 · 11.3%
Distinct: 3,504 · 99.7% 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.

2,542 distinct values, no chart

Valid: 2,602 · 65.7%
Missing: 1,359 · 34.3%
Distinct: 2,542 · 97.7% of valid

segments

string

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

2,354 distinct values, no chart

Valid: 2,387 · 60.3%
Missing: 1,574 · 39.7%
Distinct: 2,354 · 98.6% 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.

1,602 distinct values, no chart

Valid: 1,610 · 40.6%
Missing: 2,351 · 59.4%
Distinct: 1,602 · 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.

1,204 distinct values, no chart

Valid: 1,205 · 30.4%
Missing: 2,756 · 69.6%
Distinct: 1,204 · 99.9% of valid

competitors

string

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

2,610 distinct values, no chart

Valid: 2,640 · 66.6%
Missing: 1,321 · 33.4%
Distinct: 2,610 · 98.9% 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, 202464%
June 30, 20254%
March 31, 20253%
Other (187)

Valid: 2,476 · 62.5%
Missing: 1,485 · 37.5%
Distinct: 199 · 8% 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.

1,601 distinct values, no chart

Valid: 1,889 · 47.7%
Missing: 2,072 · 52.3%
Distinct: 1,601 · 84.8% 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.

2,179 distinct values, no chart

Valid: 2,462 · 62.2%
Missing: 1,499 · 37.8%
Distinct: 2,179 · 88.5% 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.

1,346 distinct values, no chart

Valid: 1,352 · 34.1%
Missing: 2,609 · 65.9%
Distinct: 1,346 · 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.

1,074 distinct values, no chart

Valid: 1,081 · 27.3%
Missing: 2,880 · 72.7%
Distinct: 1,074 · 99.4% 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.

369 distinct values, no chart

Valid: 370 · 9.3%
Missing: 3,591 · 90.7%
Distinct: 369 · 99.7% 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.

2,151 distinct values, no chart

Valid: 2,399 · 60.6%
Missing: 1,562 · 39.4%
Distinct: 2,151 · 89.7% of valid

website

string

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

2,433 distinct values, no chart

Valid: 2,472 · 62.4%
Missing: 1,489 · 37.6%
Distinct: 2,433 · 98.4% of valid

employees_text

string

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

2,614 distinct values, no chart

Valid: 2,691 · 67.9%
Missing: 1,270 · 32.1%
Distinct: 2,614 · 97.1% of valid

employees_count

integer

Number of employees parsed from employees_text.

199000000

Valid: 2,441 · 61.6%
Missing: 1,520 · 38.4%
Distinct: 1,421 · 58.2% of valid
Min: 1
25%: 218
Median: 1600
75%: 7700
Max: 99000000

founded_year

integer

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

17842025

Valid: 2,325 · 58.7%
Missing: 1,636 · 41.3%
Distinct: 182 · 7.8% of valid
Min: 1784
25%: 1975
Median: 1997
75%: 2011
Max: 2025

extraction_model

string

The extraction model pin that answered.

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

Valid: 3,569 · 90.1%
Missing: 392 · 9.9%
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 Care23%
Financials16%
Information Technology15%

Valid: 3,689 · 93.1%
Missing: 272 · 6.9%
Distinct: 12 · 0.3% of valid

sector_confidence

decimal

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

0.20220.9802

Valid: 3,689 · 93.1%
Missing: 272 · 6.9%
Distinct: 2,436 · 66% of valid
Min: 0.2022
25%: 0.6529
Median: 0.8466
75%: 0.9235
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.

businesses62%
both businesses and consumers22%
consumers12%

Valid: 3,689 · 93.1%
Missing: 272 · 6.9%
Distinct: 5 · 0.1% of valid

business_model_confidence

decimal

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

0.22120.9757

Valid: 3,689 · 93.1%
Missing: 272 · 6.9%
Distinct: 2,678 · 72.6% of valid
Min: 0.2212
25%: 0.5732
Median: 0.7927
75%: 0.9008
Max: 0.9757

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 contracts15%
interest and lending9%

Valid: 3,689 · 93.1%
Missing: 272 · 6.9%
Distinct: 11 · 0.3% of valid

revenue_model_confidence

decimal

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

0.20120.9659

Valid: 3,689 · 93.1%
Missing: 272 · 6.9%
Distinct: 2,757 · 74.7% of valid
Min: 0.2012
25%: 0.5316
Median: 0.7429
75%: 0.8524
Max: 0.9659

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.

none66%
peripheral23%
significant10%

Valid: 3,689 · 93.1%
Missing: 272 · 6.9%
Distinct: 4 · 0.1% of valid

ai_exposure_confidence

decimal

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

0.34470.9916

Valid: 3,689 · 93.1%
Missing: 272 · 6.9%
Distinct: 2,157 · 58.5% of valid
Min: 0.3447
25%: 0.6724
Median: 0.8867
75%: 0.9626
Max: 0.9916

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 lender7%

Valid: 3,689 · 93.1%
Missing: 272 · 6.9%
Distinct: 10 · 0.3% of valid

company_type_confidence

decimal

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

0.23340.9784

Valid: 3,689 · 93.1%
Missing: 272 · 6.9%
Distinct: 2,599 · 70.5% of valid
Min: 0.2334
25%: 0.6394
Median: 0.7784
75%: 0.8698
Max: 0.9784

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: 3,689 · 93.1%
Missing: 272 · 6.9%
Distinct: 4 · 0.1% of valid

geographic_focus_confidence

decimal

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

0.33240.9836

Valid: 3,689 · 93.1%
Missing: 272 · 6.9%
Distinct: 2,249 · 61% of valid
Min: 0.3324
25%: 0.7289
Median: 0.8911
75%: 0.9448
Max: 0.9836

classification_model

string

The classification model pin that answered.

cloudflare/clef-flash-fp8-17f0b0ad100%

Valid: 3,689 · 93.1%
Missing: 272 · 6.9%
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%
liquidity, debt or going concern16%
economy and demand13%
Other (3)

Valid: 3,526 · 89%
Missing: 435 · 11%
Distinct: 15 · 0.4% of valid

top_risk_theme_confidence

decimal

Probability of the top_risk_theme label, 0 to 1.

0.13150.9439

Valid: 3,526 · 89%
Missing: 435 · 11%
Distinct: 2,617 · 74.2% of valid
Min: 0.1315
25%: 0.3096
Median: 0.4106
75%: 0.5562
Max: 0.9439

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).

true61%
false39%

Valid: 3,526 · 89%
Missing: 435 · 11%
Distinct: 2 · 0.1% of valid

tariff_risk_probability

decimal

Probability the classification model gave tariff_risk, 0 to 1.

0.00670.9855

Valid: 3,526 · 89%
Missing: 435 · 11%
Distinct: 1,226 · 34.8% of valid
Min: 0.0067
25%: 0.0319
Median: 0.8775
75%: 0.9662
Max: 0.9855

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).

false62%
true38%

Valid: 3,526 · 89%
Missing: 435 · 11%
Distinct: 2 · 0.1% of valid

ai_risk_probability

decimal

Probability the classification model gave ai_risk, 0 to 1.

0.00730.9756

Valid: 3,526 · 89%
Missing: 435 · 11%
Distinct: 1,092 · 31% of valid
Min: 0.0073
25%: 0.0146
Median: 0.0274
75%: 0.8117
Max: 0.9756

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).

false89%
true11%

Valid: 3,526 · 89%
Missing: 435 · 11%
Distinct: 2 · 0.1% of valid

going_concern_risk_probability

decimal

Probability the classification model gave going_concern_risk, 0 to 1.

0.00630.9812

Valid: 3,526 · 89%
Missing: 435 · 11%
Distinct: 901 · 25.6% of valid
Min: 0.0063
25%: 0.0128
Median: 0.0197
75%: 0.0745
Max: 0.9812

business_excerpt

string

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

3,688 distinct values, no chart

Valid: 3,690 · 93.2%
Missing: 271 · 6.8%
Distinct: 3,688 · 99.9% of valid

search_text

string

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

3,959 distinct values, no chart

Valid: 3,961 · 100%
Missing: 0 · 0%
Distinct: 3,959 · 99.9% of valid