Updated6 Nov 2026

US stocks and ETFs, prices and SEC fundamentals since 2010

Updated 1 Nov 2026

79.3 MB across 202 parts, newest sealed 1 November 2026 at 07:48 UTC.

The first build wrote 202 parts and 49,107 rows.

ONE_ROW_PER_REPORT passed.

AUDITOR_MOSTLY_TAGGED passed.

DESCRIPTIONS_MOSTLY_FOUND passed.

CONFIDENCE_IS_PROBABILITY passed.

ABOUT_48000_REPORTS passed.

accession

string

The SEC accession number of the annual report.

49,107 distinct values, no chart

Valid: 49,107 · 100%
Missing: 0 · 0%
Distinct: 49,107 · 100% of valid

cik

integer

SEC CIK of the filer.

17502143673

Valid: 49,107 · 100%
Missing: 0 · 0%
Distinct: 4,379 · 8.9% of valid
Min: 1750
25%: 808362
Median: 1095981
75%: 1494904
Max: 2143673

listed_cik

integer

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

17502143673

Valid: 49,107 · 100%
Missing: 0 · 0%
Distinct: 4,310 · 8.8% of valid
Min: 1750
25%: 811641
Median: 1099590
75%: 1504461
Max: 2143673

ticker

string

Primary ticker, such as AAPL.

RCAT0%
SCE$G0%
CMS$B0%
Other (4,298)

Valid: 49,107 · 100%
Missing: 0 · 0%
Distinct: 4,310 · 8.8% of valid

company_name

string

Company name on the EDGAR index.

CONSUMERS ENERGY CO0%
1 800 FLOWERS COM INC0%
1ST SOURCE CORP0%
Other (6,116)

Valid: 49,107 · 100%
Missing: 0 · 0%
Distinct: 6,128 · 12.5% of valid

form

string

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

10-K100%
10-KT0%

Valid: 49,107 · 100%
Missing: 0 · 0%
Distinct: 2 · 0% of valid

filed_date

date

Date the report was filed.

3,617 distinct values, no chart

Valid: 49,107 · 100%
Missing: 0 · 0%
Distinct: 3,617 · 7.4% of valid

period_of_report

date

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

2017-01-012026-01-01

per year

Valid: 27,558 · 56.1%
Missing: 21,549 · 43.9%
Distinct: 462 · 1.7% of valid

fiscal_year

integer

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

201743830

Valid: 27,546 · 56.1%
Missing: 21,561 · 43.9%
Distinct: 13 · 0% of valid
Min: 2017
25%: 2020
Median: 2022
75%: 2024
Max: 43830

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 (117)

Valid: 27,548 · 56.1%
Missing: 21,559 · 43.9%
Distinct: 129 · 0.5% of valid

doc_url

string

Main document on EDGAR.

49,061 distinct values, no chart

Valid: 49,061 · 99.9%
Missing: 46 · 0.1%
Distinct: 49,061 · 100% of valid

index_url

string

Filing index page on EDGAR.

49,107 distinct values, no chart

Valid: 49,107 · 100%
Missing: 0 · 0%
Distinct: 49,107 · 100% of valid

doc_status

string

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

read92%
document not read8%
index not read0%

Valid: 49,107 · 100%
Missing: 0 · 0%
Distinct: 3 · 0% 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 (537)

Valid: 18,775 · 38.2%
Missing: 30,332 · 61.8%
Distinct: 549 · 2.9% of valid

auditor_location

string

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

New York, New York7%
Boston, Massachusetts5%
Houston, Texas4%
Other (629)

Valid: 18,775 · 38.2%
Missing: 30,332 · 61.8%
Distinct: 641 · 3.4% of valid

auditor_pcaob_id

integer

The audit firm's PCAOB ID, as tagged.

12650100001

Valid: 18,773 · 38.2%
Missing: 30,334 · 61.8%
Distinct: 281 · 1.5% of valid
Min: 12
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).

true62%
false38%

Valid: 18,775 · 38.2%
Missing: 30,332 · 61.8%
Distinct: 2 · 0% of valid

filer_category

string

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

Large accelerated filer50%
Non-accelerated filer33%
Accelerated filer17%

Valid: 27,563 · 56.1%
Missing: 21,544 · 43.9%
Distinct: 5 · 0% of valid

shell_company

boolean

True when the cover page checks the shell company box.

false98%
true2%

Valid: 27,324 · 55.6%
Missing: 21,783 · 44.4%
Distinct: 2 · 0% of valid

well_known_seasoned_issuer

boolean

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

false52%
true48%

Valid: 27,562 · 56.1%
Missing: 21,545 · 43.9%
Distinct: 2 · 0% of valid

smaller_reporting_company

boolean

True when the cover page checks smaller reporting company.

false63%
true37%

Valid: 27,339 · 55.7%
Missing: 21,768 · 44.3%
Distinct: 2 · 0% of valid

emerging_growth_company

boolean

True when the cover page checks emerging growth company.

false84%
true16%

Valid: 27,345 · 55.7%
Missing: 21,762 · 44.3%
Distinct: 2 · 0% of valid

icfr_auditor_attestation

boolean

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

true67%
false33%

Valid: 20,671 · 42.1%
Missing: 28,436 · 57.9%
Distinct: 2 · 0% 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).

02563579586000000000

Valid: 27,484 · 56%
Missing: 21,623 · 44%
Distinct: 19,705 · 71.7% of valid
Min: 0
25%: 109120000
Median: 723800000
75%: 4300000000
Max: 2563579586000000000

shares_outstanding

integer

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

02125586356

Valid: 27,264 · 55.5%
Missing: 21,843 · 44.5%
Distinct: 26,305 · 96.5% of valid
Min: 0
25%: 19654636
Median: 48847734
75%: 126950448
Max: 2125586356

incorporation_code

string

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

DE61%
MD6%
NV5%
Other (67)

Valid: 23,981 · 48.8%
Missing: 25,126 · 51.2%
Distinct: 79 · 0.3% of valid

hq_city

string

City of the principal executive offices, as tagged.

New York7%
Houston3%
Dallas2%
Other (1,369)

Valid: 23,568 · 48%
Missing: 25,539 · 52%
Distinct: 1,381 · 5.9% of valid

hq_state

string

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

CA17%
NY10%
TX10%
Other (62)

Valid: 22,692 · 46.2%
Missing: 26,415 · 53.8%
Distinct: 74 · 0.3% 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).

false88%
true12%

Valid: 44,943 · 91.5%
Missing: 4,164 · 8.5%
Distinct: 2 · 0% 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).

false85%
true15%

Valid: 44,943 · 91.5%
Missing: 4,164 · 8.5%
Distinct: 2 · 0% of valid

ai_mentions

integer

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

0969

Valid: 44,943 · 91.5%
Missing: 4,164 · 8.5%
Distinct: 228 · 0.5% of valid
Min: 0
25%: 0
Median: 0
75%: 1
Max: 969

tariff_mentions

integer

Times the report says tariff or tariffs.

0132

Valid: 44,943 · 91.5%
Missing: 4,164 · 8.5%
Distinct: 92 · 0.2% of valid
Min: 0
25%: 0
Median: 1
75%: 3
Max: 132

doc_chars

integer

Characters of text in the main document.

451042091

Valid: 44,943 · 91.5%
Missing: 4,164 · 8.5%
Distinct: 43,058 · 95.8% of valid
Min: 45
25%: 285342
Median: 378352
75%: 488151
Max: 1042091

sections_found

integer

How many standard Items were found in the document.

010

Valid: 49,107 · 100%
Missing: 0 · 0%
Distinct: 11 · 0% of valid
Min: 0
25%: 6
Median: 7
75%: 8
Max: 10

business_chars

integer

Characters in Item 1 Business.

496909473

Valid: 42,565 · 86.7%
Missing: 6,542 · 13.3%
Distinct: 35,010 · 82.3% of valid
Min: 496
25%: 29472
Median: 46165
75%: 75997
Max: 909473

risk_factors_chars

integer

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

457716218

Valid: 40,731 · 82.9%
Missing: 8,376 · 17.1%
Distinct: 35,759 · 87.8% of valid
Min: 457
25%: 39888
Median: 64840
75%: 107563
Max: 716218

cybersecurity_chars

integer

Characters in Item 1C Cybersecurity.

406309334

Valid: 10,629 · 21.6%
Missing: 38,478 · 78.4%
Distinct: 5,682 · 53.5% of valid
Min: 406
25%: 3879
Median: 5266
75%: 6881
Max: 309334

legal_proceedings_chars

integer

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

400504606

Valid: 24,185 · 49.2%
Missing: 24,922 · 50.8%
Distinct: 6,583 · 27.2% of valid
Min: 400
25%: 639
Median: 1090
75%: 2787
Max: 504606

mdna_chars

integer

Characters in Item 7 Management's Discussion and Analysis.

402764977

Valid: 40,299 · 82.1%
Missing: 8,808 · 17.9%
Distinct: 33,512 · 83.2% of valid
Min: 402
25%: 40268
Median: 58208
75%: 81487
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.

26,936 distinct values, no chart

Valid: 40,686 · 82.9%
Missing: 8,421 · 17.1%
Distinct: 26,936 · 66.2% 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.

18,384 distinct values, no chart

Valid: 29,746 · 60.6%
Missing: 19,361 · 39.4%
Distinct: 18,384 · 61.8% of valid

segments

string

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

17,197 distinct values, no chart

Valid: 28,080 · 57.2%
Missing: 21,027 · 42.8%
Distinct: 17,197 · 61.2% 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.

14,356 distinct values, no chart

Valid: 19,737 · 40.2%
Missing: 29,370 · 59.8%
Distinct: 14,356 · 72.7% 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.

13,297 distinct values, no chart

Valid: 16,044 · 32.7%
Missing: 33,063 · 67.3%
Distinct: 13,297 · 82.9% of valid

competitors

string

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

19,040 distinct values, no chart

Valid: 31,362 · 63.9%
Missing: 17,745 · 36.1%
Distinct: 19,040 · 60.7% 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, 20256%
December 31, 20245%
December 31, 20235%
Other (2,827)

Valid: 29,920 · 60.9%
Missing: 19,187 · 39.1%
Distinct: 2,839 · 9.5% 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.

San Diego, California1%
Houston, Texas1%
Dallas, Texas1%
Other (6,721)

Valid: 23,122 · 47.1%
Missing: 25,985 · 52.9%
Distinct: 6,733 · 29.1% 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.

16,573 distinct values, no chart

Valid: 29,811 · 60.7%
Missing: 19,296 · 39.3%
Distinct: 16,573 · 55.6% 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.

10,098 distinct values, no chart

Valid: 15,799 · 32.2%
Missing: 33,308 · 67.8%
Distinct: 10,098 · 63.9% 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.

7,529 distinct values, no chart

Valid: 12,946 · 26.4%
Missing: 36,161 · 73.6%
Distinct: 7,529 · 58.2% 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.

5,552 distinct values, no chart

Valid: 7,330 · 14.9%
Missing: 41,777 · 85.1%
Distinct: 5,552 · 75.7% 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.

FDA2%
SEC1%
U.S. Food and Drug Administration, or FDA1%
Other (12,368)

Valid: 26,320 · 53.6%
Missing: 22,787 · 46.4%
Distinct: 12,380 · 47% of valid

website

string

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

http://www.invesco.com/ETFs0%
www.ishares.com0%
www.invesco.com/etfs0%
Other (5,418)

Valid: 29,947 · 61%
Missing: 19,160 · 39%
Distinct: 5,430 · 18.1% of valid

employees_text

string

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

29,459 distinct values, no chart

Valid: 32,839 · 66.9%
Missing: 16,268 · 33.1%
Distinct: 29,459 · 89.7% of valid

employees_count

integer

Number of employees parsed from employees_text.

11232000000

Valid: 29,468 · 60%
Missing: 19,639 · 40%
Distinct: 6,677 · 22.7% of valid
Min: 1
25%: 244
Median: 1626
75%: 7830
Max: 1232000000

founded_year

integer

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

17402026

Valid: 30,885 · 62.9%
Missing: 18,222 · 37.1%
Distinct: 202 · 0.7% of valid
Min: 1740
25%: 1968
Median: 1991
75%: 2005
Max: 2026

extraction_model

string

The extraction model pin that answered.

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

Valid: 41,385 · 84.3%
Missing: 7,722 · 15.7%
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 Care19%
Financials17%
Industrials17%

Valid: 42,558 · 86.7%
Missing: 6,549 · 13.3%
Distinct: 12 · 0% of valid

sector_confidence

decimal

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

0.18510.9813

Valid: 42,558 · 86.7%
Missing: 6,549 · 13.3%
Distinct: 6,736 · 15.8% of valid
Min: 0.1851
25%: 0.6499
Median: 0.8430
75%: 0.9226
Max: 0.9813

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: 42,558 · 86.7%
Missing: 6,549 · 13.3%
Distinct: 5 · 0% of valid

business_model_confidence

decimal

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

0.21100.9801

Valid: 42,558 · 86.7%
Missing: 6,549 · 13.3%
Distinct: 7,084 · 16.6% of valid
Min: 0.2110
25%: 0.6001
Median: 0.8050
75%: 0.9026
Max: 0.9801

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 sales41%
services or contracts15%
interest and lending10%

Valid: 42,558 · 86.7%
Missing: 6,549 · 13.3%
Distinct: 11 · 0% of valid

revenue_model_confidence

decimal

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

0.18130.9725

Valid: 42,558 · 86.7%
Missing: 6,549 · 13.3%
Distinct: 7,106 · 16.7% of valid
Min: 0.1813
25%: 0.5558
Median: 0.7535
75%: 0.8586
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.

none82%
peripheral14%
significant4%

Valid: 42,558 · 86.7%
Missing: 6,549 · 13.3%
Distinct: 4 · 0% of valid

ai_exposure_confidence

decimal

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

0.29140.9916

Valid: 42,558 · 86.7%
Missing: 6,549 · 13.3%
Distinct: 5,552 · 13% of valid
Min: 0.2914
25%: 0.7808
Median: 0.9502
75%: 0.9698
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 company62%
clinical-stage biotech10%
bank or lender8%

Valid: 42,558 · 86.7%
Missing: 6,549 · 13.3%
Distinct: 10 · 0% of valid

company_type_confidence

decimal

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

0.20040.9810

Valid: 42,558 · 86.7%
Missing: 6,549 · 13.3%
Distinct: 6,409 · 15.1% of valid
Min: 0.2004
25%: 0.6563
Median: 0.7847
75%: 0.8673
Max: 0.9810

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%
global42%
mostly outside the United States3%

Valid: 42,558 · 86.7%
Missing: 6,549 · 13.3%
Distinct: 4 · 0% of valid

geographic_focus_confidence

decimal

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

0.25980.9846

Valid: 42,558 · 86.7%
Missing: 6,549 · 13.3%
Distinct: 5,684 · 13.4% of valid
Min: 0.2598
25%: 0.7394
Median: 0.8935
75%: 0.9441
Max: 0.9846

classification_model

string

The classification model pin that answered.

cloudflare/clef-flash-fp8-17f0b0ad100%

Valid: 42,558 · 86.7%
Missing: 6,549 · 13.3%
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 policy21%
economy and demand19%
liquidity, debt or going concern13%
Other (3)

Valid: 40,724 · 82.9%
Missing: 8,383 · 17.1%
Distinct: 15 · 0% of valid

top_risk_theme_confidence

decimal

Probability of the top_risk_theme label, 0 to 1.

0.09230.9439

Valid: 40,724 · 82.9%
Missing: 8,383 · 17.1%
Distinct: 6,915 · 17% of valid
Min: 0.0923
25%: 0.3143
Median: 0.4104
75%: 0.5443
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).

false57%
true43%

Valid: 40,724 · 82.9%
Missing: 8,383 · 17.1%
Distinct: 2 · 0% of valid

tariff_risk_probability

decimal

Probability the classification model gave tariff_risk, 0 to 1.

0.00530.9857

Valid: 40,724 · 82.9%
Missing: 8,383 · 17.1%
Distinct: 3,093 · 7.6% of valid
Min: 0.0053
25%: 0.0184
Median: 0.1325
75%: 0.9286
Max: 0.9857

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).

false89%
true11%

Valid: 40,724 · 82.9%
Missing: 8,383 · 17.1%
Distinct: 2 · 0% of valid

ai_risk_probability

decimal

Probability the classification model gave ai_risk, 0 to 1.

0.00690.9770

Valid: 40,724 · 82.9%
Missing: 8,383 · 17.1%
Distinct: 2,050 · 5% of valid
Min: 0.0069
25%: 0.0123
Median: 0.0154
75%: 0.0221
Max: 0.9770

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).

false92%
true8%

Valid: 40,724 · 82.9%
Missing: 8,383 · 17.1%
Distinct: 2 · 0% of valid

going_concern_risk_probability

decimal

Probability the classification model gave going_concern_risk, 0 to 1.

0.00630.9822

Valid: 40,724 · 82.9%
Missing: 8,383 · 17.1%
Distinct: 2,561 · 6.3% of valid
Min: 0.0063
25%: 0.0143
Median: 0.0210
75%: 0.0586
Max: 0.9822

business_excerpt

string

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

38,000 distinct values, no chart

Valid: 42,565 · 86.7%
Missing: 6,542 · 13.3%
Distinct: 38,000 · 89.3% of valid

search_text

string

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

36,945 distinct values, no chart

Valid: 49,107 · 100%
Missing: 0 · 0%
Distinct: 36,945 · 75.2% of valid