Updated6 Nov 2026

US stocks and ETFs, prices and SEC fundamentals since 2010

Updated 1 Nov 2026

6.5 MB across 10 parts, newest sealed 1 November 2026 at 07:41 UTC.

The first build wrote 10 parts and 4,082 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.

4,082 distinct values, no chart

Valid: 4,082 · 100%
Missing: 0 · 0%
Distinct: 4,082 · 100% of valid

cik

integer

SEC CIK of the filer.

17502143673

Valid: 4,082 · 100%
Missing: 0 · 0%
Distinct: 4,078 · 99.9% of valid
Min: 1750
25%: 932696
Median: 1460702
75%: 1779128
Max: 2143673

listed_cik

integer

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

17502143673

Valid: 4,082 · 100%
Missing: 0 · 0%
Distinct: 4,078 · 99.9% of valid
Min: 1750
25%: 933034
Median: 1462418
75%: 1781162
Max: 2143673

ticker

string

Primary ticker, such as AAPL.

4,078 distinct values, no chart

Valid: 4,082 · 100%
Missing: 0 · 0%
Distinct: 4,078 · 99.9% of valid

company_name

string

Company name on the EDGAR index.

4,079 distinct values, no chart

Valid: 4,082 · 100%
Missing: 0 · 0%
Distinct: 4,079 · 99.9% of valid

form

string

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

10-K100%
10-KT0%

Valid: 4,082 · 100%
Missing: 0 · 0%
Distinct: 2 · 0% of valid

filed_date

date

Date the report was filed.

2026-01-012026-10-01

per month

Valid: 4,082 · 100%
Missing: 0 · 0%
Distinct: 189 · 4.6% of valid

period_of_report

date

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

2025-04-012026-10-01

per quarter

Valid: 4,043 · 99%
Missing: 39 · 1%
Distinct: 52 · 1.3% of valid

fiscal_year

integer

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

20232026

Valid: 4,042 · 99%
Missing: 40 · 1%
Distinct: 4 · 0.1% of valid
Min: 2023
25%: 2025
Median: 2025
75%: 2025
Max: 2026

fiscal_year_end

string

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

12-3183%
06-304%
03-313%
Other (39)

Valid: 4,041 · 99%
Missing: 41 · 1%
Distinct: 51 · 1.3% of valid

doc_url

string

Main document on EDGAR.

4,082 distinct values, no chart

Valid: 4,082 · 100%
Missing: 0 · 0%
Distinct: 4,082 · 100% of valid

index_url

string

Filing index page on EDGAR.

4,082 distinct values, no chart

Valid: 4,082 · 100%
Missing: 0 · 0%
Distinct: 4,082 · 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: 4,082 · 100%
Missing: 0 · 0%
Distinct: 2 · 0% of valid

auditor_name

string

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

Ernst & Young LLP15%
PricewaterhouseCoopers LLP14%
Deloitte & Touche LLP12%
Other (277)

Valid: 4,046 · 99.1%
Missing: 36 · 0.9%
Distinct: 289 · 7.1% of valid

auditor_location

string

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

New York, New York9%
Boston, Massachusetts5%
Houston, Texas5%
Other (403)

Valid: 4,046 · 99.1%
Missing: 36 · 0.9%
Distinct: 415 · 10.3% of valid

auditor_pcaob_id

integer

The audit firm's PCAOB ID, as tagged.

157320

Valid: 4,046 · 99.1%
Missing: 36 · 0.9%
Distinct: 194 · 4.8% of valid
Min: 15
25%: 42
Median: 185
75%: 238
Max: 7320

big4_auditor

boolean

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

true60%
false40%

Valid: 4,046 · 99.1%
Missing: 36 · 0.9%
Distinct: 2 · 0% of valid

filer_category

string

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

Large accelerated filer45%
Non-accelerated filer39%
Accelerated filer16%

Valid: 4,045 · 99.1%
Missing: 37 · 0.9%
Distinct: 3 · 0.1% of valid

shell_company

boolean

True when the cover page checks the shell company box.

false95%
true5%

Valid: 4,045 · 99.1%
Missing: 37 · 0.9%
Distinct: 2 · 0% of valid

well_known_seasoned_issuer

boolean

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

false55%
true45%

Valid: 4,045 · 99.1%
Missing: 37 · 0.9%
Distinct: 2 · 0% of valid

smaller_reporting_company

boolean

True when the cover page checks smaller reporting company.

false58%
true42%

Valid: 4,043 · 99%
Missing: 39 · 1%
Distinct: 2 · 0% of valid

emerging_growth_company

boolean

True when the cover page checks emerging growth company.

false81%
true19%

Valid: 4,045 · 99.1%
Missing: 37 · 0.9%
Distinct: 2 · 0% of valid

icfr_auditor_attestation

boolean

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

true61%
false39%

Valid: 3,989 · 97.7%
Missing: 93 · 2.3%
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).

06792425456000

Valid: 4,020 · 98.5%
Missing: 62 · 1.5%
Distinct: 3,254 · 80.9% of valid
Min: 0
25%: 69153180
Median: 503100000
75%: 3830600000
Max: 6792425456000

shares_outstanding

integer

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

091567009533

Valid: 4,036 · 98.9%
Missing: 46 · 1.1%
Distinct: 3,989 · 98.8% of valid
Min: 0
25%: 18794881
Median: 49221246
75%: 134361648
Max: 91567009533

incorporation_code

string

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

DE60%
MD6%
NV6%
Other (66)

Valid: 4,045 · 99.1%
Missing: 37 · 0.9%
Distinct: 78 · 1.9% of valid

hq_city

string

City of the principal executive offices, as tagged.

New York8%
Houston3%
Dallas2%
Other (1,116)

Valid: 4,042 · 99%
Missing: 40 · 1%
Distinct: 1,128 · 27.9% of valid

hq_state

string

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

CA17%
NY11%
TX11%
Other (43)

Valid: 3,860 · 94.6%
Missing: 222 · 5.4%
Distinct: 55 · 1.4% 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).

false84%
true16%

Valid: 3,975 · 97.4%
Missing: 107 · 2.6%
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: 3,975 · 97.4%
Missing: 107 · 2.6%
Distinct: 2 · 0.1% of valid

ai_mentions

integer

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

0916

Valid: 3,975 · 97.4%
Missing: 107 · 2.6%
Distinct: 189 · 4.8% of valid
Min: 0
25%: 1
Median: 9
75%: 24
Max: 916

tariff_mentions

integer

Times the report says tariff or tariffs.

0130

Valid: 3,975 · 97.4%
Missing: 107 · 2.6%
Distinct: 84 · 2.1% of valid
Min: 0
25%: 2
Median: 6
75%: 15
Max: 130

doc_chars

integer

Characters of text in the main document.

98921023359

Valid: 3,975 · 97.4%
Missing: 107 · 2.6%
Distinct: 3,959 · 99.6% of valid
Min: 9892
25%: 354624
Median: 447541
75%: 557118
Max: 1023359

sections_found

integer

How many standard Items were found in the document.

010

Valid: 4,082 · 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.

496835179

Valid: 3,821 · 93.6%
Missing: 261 · 6.4%
Distinct: 3,767 · 98.6% of valid
Min: 496
25%: 33743
Median: 53253
75%: 92967
Max: 835179

risk_factors_chars

integer

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

457649445

Valid: 3,643 · 89.2%
Missing: 439 · 10.8%
Distinct: 3,604 · 98.9% of valid
Min: 457
25%: 62632
Median: 95297
75%: 165479
Max: 649445

cybersecurity_chars

integer

Characters in Item 1C Cybersecurity.

538294182

Valid: 3,706 · 90.8%
Missing: 376 · 9.2%
Distinct: 2,932 · 79.1% of valid
Min: 538
25%: 3864
Median: 5331
75%: 6931
Max: 294182

legal_proceedings_chars

integer

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

400489187

Valid: 2,041 · 50%
Missing: 2,041 · 50%
Distinct: 1,242 · 60.9% of valid
Min: 400
25%: 618
Median: 885
75%: 1745
Max: 489187

mdna_chars

integer

Characters in Item 7 Management's Discussion and Analysis.

437707349

Valid: 3,601 · 88.2%
Missing: 481 · 11.8%
Distinct: 3,519 · 97.7% of valid
Min: 437
25%: 36214
Median: 51084
75%: 70384
Max: 707349

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.

3,612 distinct values, no chart

Valid: 3,634 · 89%
Missing: 448 · 11%
Distinct: 3,612 · 99.4% 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.

2,510 distinct values, no chart

Valid: 2,582 · 63.3%
Missing: 1,500 · 36.7%
Distinct: 2,510 · 97.2% of valid

segments

string

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

2,284 distinct values, no chart

Valid: 2,320 · 56.8%
Missing: 1,762 · 43.2%
Distinct: 2,284 · 98.4% 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.

1,560 distinct values, no chart

Valid: 1,564 · 38.3%
Missing: 2,518 · 61.7%
Distinct: 1,560 · 99.7% 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.

1,151 distinct values, no chart

Valid: 1,152 · 28.2%
Missing: 2,930 · 71.8%
Distinct: 1,151 · 99.9% of valid

competitors

string

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

2,602 distinct values, no chart

Valid: 2,649 · 64.9%
Missing: 1,433 · 35.1%
Distinct: 2,602 · 98.2% 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, 202569%
June 30, 20264%
January 31, 20264%
Other (177)

Valid: 2,465 · 60.4%
Missing: 1,617 · 39.6%
Distinct: 189 · 7.7% 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.

1,616 distinct values, no chart

Valid: 1,870 · 45.8%
Missing: 2,212 · 54.2%
Distinct: 1,616 · 86.4% 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.

2,161 distinct values, no chart

Valid: 2,449 · 60%
Missing: 1,633 · 40%
Distinct: 2,161 · 88.2% 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.

1,298 distinct values, no chart

Valid: 1,300 · 31.8%
Missing: 2,782 · 68.2%
Distinct: 1,298 · 99.8% 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.

1,001 distinct values, no chart

Valid: 1,010 · 24.7%
Missing: 3,072 · 75.3%
Distinct: 1,001 · 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.

320 distinct values, no chart

Valid: 321 · 7.9%
Missing: 3,761 · 92.1%
Distinct: 320 · 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.

2,170 distinct values, no chart

Valid: 2,407 · 59%
Missing: 1,675 · 41%
Distinct: 2,170 · 90.2% of valid

website

string

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

2,423 distinct values, no chart

Valid: 2,470 · 60.5%
Missing: 1,612 · 39.5%
Distinct: 2,423 · 98.1% of valid

employees_text

string

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

2,601 distinct values, no chart

Valid: 2,690 · 65.9%
Missing: 1,392 · 34.1%
Distinct: 2,601 · 96.7% of valid

employees_count

integer

Number of employees parsed from employees_text.

1101500000

Valid: 2,395 · 58.7%
Missing: 1,687 · 41.3%
Distinct: 1,384 · 57.8% of valid
Min: 1
25%: 203
Median: 1465
75%: 7500
Max: 101500000

founded_year

integer

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

17832026

Valid: 2,395 · 58.7%
Missing: 1,687 · 41.3%
Distinct: 183 · 7.6% of valid
Min: 1783
25%: 1980
Median: 2000
75%: 2014
Max: 2026

extraction_model

string

The extraction model pin that answered.

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

Valid: 3,700 · 90.6%
Missing: 382 · 9.4%
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: 3,820 · 93.6%
Missing: 262 · 6.4%
Distinct: 12 · 0.3% of valid

sector_confidence

decimal

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

0.18510.9813

Valid: 3,820 · 93.6%
Missing: 262 · 6.4%
Distinct: 2,577 · 67.5% of valid
Min: 0.1851
25%: 0.6282
Median: 0.8349
75%: 0.9213
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.

businesses63%
both businesses and consumers21%
consumers11%

Valid: 3,820 · 93.6%
Missing: 262 · 6.4%
Distinct: 5 · 0.1% of valid

business_model_confidence

decimal

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

0.21580.9801

Valid: 3,820 · 93.6%
Missing: 262 · 6.4%
Distinct: 2,760 · 72.3% of valid
Min: 0.2158
25%: 0.5767
Median: 0.7827
75%: 0.8957
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 sales36%
services or contracts15%
interest and lending8%

Valid: 3,820 · 93.6%
Missing: 262 · 6.4%
Distinct: 11 · 0.3% of valid

revenue_model_confidence

decimal

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

0.18930.9633

Valid: 3,820 · 93.6%
Missing: 262 · 6.4%
Distinct: 2,811 · 73.6% of valid
Min: 0.1893
25%: 0.5288
Median: 0.7377
75%: 0.8474
Max: 0.9633

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.

none61%
peripheral24%
significant13%

Valid: 3,820 · 93.6%
Missing: 262 · 6.4%
Distinct: 4 · 0.1% of valid

ai_exposure_confidence

decimal

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

0.31200.9889

Valid: 3,820 · 93.6%
Missing: 262 · 6.4%
Distinct: 2,272 · 59.5% of valid
Min: 0.3120
25%: 0.6683
Median: 0.8632
75%: 0.9616
Max: 0.9889

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 company58%
clinical-stage biotech12%
bank or lender7%

Valid: 3,820 · 93.6%
Missing: 262 · 6.4%
Distinct: 10 · 0.3% of valid

company_type_confidence

decimal

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

0.22530.9782

Valid: 3,820 · 93.6%
Missing: 262 · 6.4%
Distinct: 2,622 · 68.6% of valid
Min: 0.2253
25%: 0.6391
Median: 0.7799
75%: 0.8850
Max: 0.9782

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 States51%
global46%
mostly outside the United States3%

Valid: 3,820 · 93.6%
Missing: 262 · 6.4%
Distinct: 4 · 0.1% of valid

geographic_focus_confidence

decimal

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

0.33920.9840

Valid: 3,820 · 93.6%
Missing: 262 · 6.4%
Distinct: 2,351 · 61.5% of valid
Min: 0.3392
25%: 0.7041
Median: 0.8831
75%: 0.9436
Max: 0.9840

classification_model

string

The classification model pin that answered.

cloudflare/clef-flash-fp8-17f0b0ad100%

Valid: 3,820 · 93.6%
Missing: 262 · 6.4%
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%
liquidity, debt or going concern16%
cybersecurity and technology13%
Other (3)

Valid: 3,642 · 89.2%
Missing: 440 · 10.8%
Distinct: 15 · 0.4% of valid

top_risk_theme_confidence

decimal

Probability of the top_risk_theme label, 0 to 1.

0.12970.9434

Valid: 3,642 · 89.2%
Missing: 440 · 10.8%
Distinct: 2,675 · 73.4% of valid
Min: 0.1297
25%: 0.3131
Median: 0.4154
75%: 0.5511
Max: 0.9434

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).

true68%
false32%

Valid: 3,642 · 89.2%
Missing: 440 · 10.8%
Distinct: 2 · 0.1% of valid

tariff_risk_probability

decimal

Probability the classification model gave tariff_risk, 0 to 1.

0.00670.9857

Valid: 3,642 · 89.2%
Missing: 440 · 10.8%
Distinct: 1,190 · 32.7% of valid
Min: 0.0067
25%: 0.0759
Median: 0.9214
75%: 0.9705
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).

true50%
false50%

Valid: 3,642 · 89.2%
Missing: 440 · 10.8%
Distinct: 2 · 0.1% of valid

ai_risk_probability

decimal

Probability the classification model gave ai_risk, 0 to 1.

0.00780.9770

Valid: 3,642 · 89.2%
Missing: 440 · 10.8%
Distinct: 1,109 · 30.5% of valid
Min: 0.0078
25%: 0.0154
Median: 0.5078
75%: 0.9404
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).

false89%
true11%

Valid: 3,642 · 89.2%
Missing: 440 · 10.8%
Distinct: 2 · 0.1% of valid

going_concern_risk_probability

decimal

Probability the classification model gave going_concern_risk, 0 to 1.

0.00700.9822

Valid: 3,642 · 89.2%
Missing: 440 · 10.8%
Distinct: 921 · 25.3% of valid
Min: 0.0070
25%: 0.0127
Median: 0.0210
75%: 0.0786
Max: 0.9822

business_excerpt

string

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

3,818 distinct values, no chart

Valid: 3,821 · 93.6%
Missing: 261 · 6.4%
Distinct: 3,818 · 99.9% of valid

search_text

string

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

4,081 distinct values, no chart

Valid: 4,082 · 100%
Missing: 0 · 0%
Distinct: 4,081 · 100% of valid