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Data viewTableSummary
Updated

4.9 MB across 12 parts, newest sealed 1 November 2026 at 03:58 UTC.

The first build wrote 12 parts and 2,975 rows.

ONE_ROW_PER_REPORT passed.

AUDITOR_MOSTLY_TAGGED failed.

DESCRIPTIONS_MOSTLY_FOUND passed.

CONFIDENCE_IS_PROBABILITY passed.

ABOUT_3000_REPORTS passed.

accession

string

The SEC accession number of the annual report.

2,975 distinct values, no chart

Valid
2,975 · 100%
Missing
0 · 0%
Distinct
2,975 · 100% of valid

cik

integer

SEC CIK of the filer.

Histogram: 1750 to 227643, 416; 227644 to 453537, 66; 453538 to 679430, 0; 679431 to 905324, 507; 905325 to 1131218, 537; 1131219 to 1357111, 333; 1357112 to 1583005, 603; 1583006 to 1808898, 513
17501808898
Valid
2,975 · 100%
Missing
0 · 0%
Distinct
2,971 · 99.9% of valid
Min
1750
25%
817720
Median
1114483
75%
1499832
Max
1808898

listed_cik

integer

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

Histogram: 1750 to 266446, 416; 266447 to 531143, 65; 531144 to 795839, 210; 795840 to 1060536, 650; 1060537 to 1325233, 434; 1325234 to 1589929, 690; 1589930 to 1854626, 499; 1854627 to 2119322, 11
17502119322
Valid
2,975 · 100%
Missing
0 · 0%
Distinct
2,971 · 99.9% of valid
Min
1750
25%
818479
Median
1116132
75%
1504619
Max
2119322

ticker

string

Primary ticker, such as AAPL.

2,971 distinct values, no chart

Valid
2,975 · 100%
Missing
0 · 0%
Distinct
2,971 · 99.9% of valid

company_name

string

Company name on the EDGAR index.

2,971 distinct values, no chart

Valid
2,975 · 100%
Missing
0 · 0%
Distinct
2,971 · 99.9% of valid

form

string

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

  • 10-K100%
  • 10-KT0%
Valid
2,975 · 100%
Missing
0 · 0%
Distinct
2 · 0.1% of valid

filed_date

date

Date the report was filed.

Timeline per month: 2020-01-01, 37; 2020-02-01, 1,246; 2020-03-01, 1,060; 2020-04-01, 74; 2020-05-01, 93; 2020-06-01, 61; 2020-07-01, 38; 2020-08-01, 91; 2020-09-01, 73; 2020-10-01, 35; 2020-11-01, 97; 2020-12-01, 70
2020-01-012020-12-01

per month

Valid
2,975 · 100%
Missing
0 · 0%
Distinct
220 · 7.4% of valid

period_of_report

date

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

Timeline per quarter: 2018-10-01, 2; 2019-01-01, 0; 2019-04-01, 0; 2019-07-01, 3; 2019-10-01, 2,288; 2020-01-01, 202; 2020-04-01, 182; 2020-07-01, 171; 2020-10-01, 38
2018-10-012020-10-01

per quarter

Valid
2,886 · 97%
Missing
89 · 3%
Distinct
60 · 2.1% of valid

fiscal_year

integer

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

Histogram: 2018 to 7244, 2,885; 7245 to 12471, 0; 12472 to 17697, 0; 17698 to 22924, 0; 22925 to 28151, 0; 28152 to 33377, 0; 33378 to 38604, 0; 38605 to 43830, 1
201843830
Valid
2,886 · 97%
Missing
89 · 3%
Distinct
5 · 0.2% of valid
Min
2018
25%
2019
Median
2019
75%
2019
Max
43830

fiscal_year_end

string

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

  • 12-3175%
  • 06-304%
  • 09-304%
  • Other (46)
Valid
2,886 · 97%
Missing
89 · 3%
Distinct
58 · 2% of valid

doc_url

string

Main document on EDGAR.

2,975 distinct values, no chart

Valid
2,975 · 100%
Missing
0 · 0%
Distinct
2,975 · 100% of valid

index_url

string

Filing index page on EDGAR.

2,975 distinct values, no chart

Valid
2,975 · 100%
Missing
0 · 0%
Distinct
2,975 · 100% of valid

doc_status

string

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

  • read93%
  • document not read7%
Valid
2,975 · 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.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,975 · 100%
Distinct
0 · 0% of valid

auditor_location

string

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

0 distinct values, no chart

Valid
0 · 0%
Missing
2,975 · 100%
Distinct
0 · 0% of valid

auditor_pcaob_id

integer

The audit firm's PCAOB ID, as tagged.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,975 · 100%
Distinct
0 · 0% of valid

big4_auditor

boolean

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

0 distinct values, no chart

Valid
0 · 0%
Missing
2,975 · 100%
Distinct
0 · 0% of valid

filer_category

string

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

  • Large accelerated filer53%
  • Non-accelerated filer23%
  • Accelerated filer23%
Valid
2,885 · 97%
Missing
90 · 3%
Distinct
5 · 0.2% of valid

shell_company

boolean

True when the cover page checks the shell company box.

  • false99%
  • true1%
Valid
2,886 · 97%
Missing
89 · 3%
Distinct
2 · 0.1% of valid

well_known_seasoned_issuer

boolean

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

  • false50%
  • true50%
Valid
2,886 · 97%
Missing
89 · 3%
Distinct
2 · 0.1% of valid

smaller_reporting_company

boolean

True when the cover page checks smaller reporting company.

  • false67%
  • true33%
Valid
2,886 · 97%
Missing
89 · 3%
Distinct
2 · 0.1% of valid

emerging_growth_company

boolean

True when the cover page checks emerging growth company.

  • false88%
  • true12%
Valid
2,886 · 97%
Missing
89 · 3%
Distinct
2 · 0.1% of valid

icfr_auditor_attestation

boolean

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

  • true89%
  • false11%
Valid
160 · 5.4%
Missing
2,815 · 94.6%
Distinct
2 · 1.3% 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).

Histogram: 0 to 1641987807500000, 2,881; 1641987807500000 to 3283975615000000, 0; 3283975615000000 to 4925963422500000, 1; 4925963422500000 to 6567951230000000, 0; 6567951230000000 to 8209939037500000, 0; 8209939037500000 to 9851926845000000, 0; 9851926845000000 to 11493914652500000, 0; 11493914652500000 to 13135902460000000, 1
013135902460000000
Valid
2,883 · 96.9%
Missing
92 · 3.1%
Distinct
2,514 · 87.2% of valid
Min
0
25%
135600000
Median
871634586
75%
4627759695
Max
13135902460000000

shares_outstanding

integer

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

Histogram: 0 to 45321259375000, 2,884; 45321259375001 to 90642518750000, 0; 90642518750001 to 135963778125000, 0; 135963778125001 to 181285037500000, 0; 181285037500001 to 226606296875000, 0; 226606296875001 to 271927556250000, 0; 271927556250001 to 317248815625000, 0; 317248815625001 to 362570075000000, 1
0362570075000000
Valid
2,885 · 97%
Missing
90 · 3%
Distinct
2,873 · 99.6% of valid
Min
0
25%
19607788
Median
47037772
75%
123812144
Max
362570075000000

incorporation_code

string

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

  • DE59%
  • MD6%
  • NV4%
  • Other (59)
Valid
2,191 · 73.6%
Missing
784 · 26.4%
Distinct
71 · 3.2% of valid

hq_city

string

City of the principal executive offices, as tagged.

  • New York6%
  • Houston3%
  • Chicago2%
  • Other (703)
Valid
2,003 · 67.3%
Missing
972 · 32.7%
Distinct
715 · 35.7% of valid

hq_state

string

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

  • CA17%
  • NY9%
  • TX9%
  • Other (49)
Valid
1,978 · 66.5%
Missing
997 · 33.5%
Distinct
61 · 3.1% 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
2,771 · 93.1%
Missing
204 · 6.9%
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).

  • false85%
  • true15%
Valid
2,771 · 93.1%
Missing
204 · 6.9%
Distinct
2 · 0.1% of valid

ai_mentions

integer

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

Histogram: 0 to 11, 2,712; 12 to 22, 35; 23 to 33, 10; 34 to 44, 6; 45 to 56, 4; 57 to 67, 2; 68 to 78, 0; 79 to 89, 2
089
Valid
2,771 · 93.1%
Missing
204 · 6.9%
Distinct
41 · 1.5% of valid
Min
0
25%
0
Median
0
75%
0
Max
89

tariff_mentions

integer

Times the report says tariff or tariffs.

Histogram: 0 to 6, 2,300; 7 to 13, 270; 14 to 20, 126; 21 to 27, 42; 28 to 34, 16; 35 to 41, 10; 42 to 48, 2; 49 to 55, 5
055
Valid
2,771 · 93.1%
Missing
204 · 6.9%
Distinct
45 · 1.6% of valid
Min
0
25%
0
Median
1
75%
4
Max
55

doc_chars

integer

Characters of text in the main document.

Histogram: 9495 to 134351, 64; 134352 to 259207, 375; 259208 to 384064, 871; 384065 to 508920, 836; 508921 to 633777, 428; 633778 to 758633, 158; 758634 to 883490, 30; 883491 to 1008346, 9
94951008346
Valid
2,771 · 93.1%
Missing
204 · 6.9%
Distinct
2,759 · 99.6% of valid
Min
9495
25%
302592
Median
394362
75%
497398
Max
1008346

sections_found

integer

How many standard Items were found in the document.

Histogram: 0 to 1, 265; 2 to 2, 39; 3 to 3, 42; 4 to 4, 41; 5 to 6, 684; 7 to 7, 1,056; 8 to 8, 843; 9 to 9, 5
09
Valid
2,975 · 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.

Histogram: 562 to 72267, 1,928; 72268 to 143972, 524; 143973 to 215678, 116; 215679 to 287383, 28; 287384 to 359089, 13; 359090 to 430794, 8; 430795 to 502500, 3; 502501 to 574205, 5
562574205
Valid
2,625 · 88.2%
Missing
350 · 11.8%
Distinct
2,593 · 98.8% of valid
Min
562
25%
28466
Median
44895
75%
75779
Max
574205

risk_factors_chars

integer

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

Histogram: 702 to 65397, 1,190; 65398 to 130092, 941; 130093 to 194788, 283; 194789 to 259483, 96; 259484 to 324178, 20; 324179 to 388874, 3; 388875 to 453569, 0; 453570 to 518264, 1
702518264
Valid
2,534 · 85.2%
Missing
441 · 14.8%
Distinct
2,507 · 98.9% of valid
Min
702
25%
44410
Median
68327
75%
109224
Max
518264

cybersecurity_chars

integer

Characters in Item 1C Cybersecurity.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,975 · 100%
Distinct
0 · 0% of valid

legal_proceedings_chars

integer

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

Histogram: 409 to 22638, 1,474; 22639 to 44868, 13; 44869 to 67098, 0; 67099 to 89328, 0; 89329 to 111558, 1; 111559 to 133788, 1; 133789 to 156018, 2; 156019 to 178247, 1
409178247
Valid
1,492 · 50.2%
Missing
1,483 · 49.8%
Distinct
1,122 · 75.2% of valid
Min
409
25%
648
Median
1095
75%
2736
Max
178247

mdna_chars

integer

Characters in Item 7 Management's Discussion and Analysis.

Histogram: 437 to 55430, 1,131; 55431 to 110424, 1,114; 110425 to 165418, 187; 165419 to 220411, 22; 220412 to 275405, 7; 275406 to 330399, 4; 330400 to 385393, 0; 385394 to 440386, 2
437440386
Valid
2,467 · 82.9%
Missing
508 · 17.1%
Distinct
2,438 · 98.8% of valid
Min
437
25%
41478
Median
58854
75%
81547
Max
440386

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.

2,514 distinct values, no chart

Valid
2,518 · 84.6%
Missing
457 · 15.4%
Distinct
2,514 · 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.

1,821 distinct values, no chart

Valid
1,864 · 62.7%
Missing
1,111 · 37.3%
Distinct
1,821 · 97.7% of valid

segments

string

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

1,748 distinct values, no chart

Valid
1,758 · 59.1%
Missing
1,217 · 40.9%
Distinct
1,748 · 99.4% 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.

1,262 distinct values, no chart

Valid
1,265 · 42.5%
Missing
1,710 · 57.5%
Distinct
1,262 · 99.8% 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.

1,062 distinct values, no chart

Valid
1,065 · 35.8%
Missing
1,910 · 64.2%
Distinct
1,062 · 99.7% of valid

competitors

string

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

1,982 distinct values, no chart

Valid
1,990 · 66.9%
Missing
985 · 33.1%
Distinct
1,982 · 99.6% 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, 201959%
  • June 30, 20203%
  • September 30, 20203%
  • Other (183)
Valid
1,869 · 62.8%
Missing
1,106 · 37.2%
Distinct
195 · 10.4% 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.

1,272 distinct values, no chart

Valid
1,459 · 49%
Missing
1,516 · 51%
Distinct
1,272 · 87.2% 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.

1,699 distinct values, no chart

Valid
1,879 · 63.2%
Missing
1,096 · 36.8%
Distinct
1,699 · 90.4% 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.

993 distinct values, no chart

Valid
996 · 33.5%
Missing
1,979 · 66.5%
Distinct
993 · 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.

826 distinct values, no chart

Valid
830 · 27.9%
Missing
2,145 · 72.1%
Distinct
826 · 99.5% 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.

525 distinct values, no chart

Valid
525 · 17.6%
Missing
2,450 · 82.4%
Distinct
525 · 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.

1,506 distinct values, no chart

Valid
1,626 · 54.7%
Missing
1,349 · 45.3%
Distinct
1,506 · 92.6% of valid

website

string

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

1,860 distinct values, no chart

Valid
1,885 · 63.4%
Missing
1,090 · 36.6%
Distinct
1,860 · 98.7% of valid

employees_text

string

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

1,987 distinct values, no chart

Valid
2,045 · 68.7%
Missing
930 · 31.3%
Distinct
1,987 · 97.2% of valid

employees_count

integer

Number of employees parsed from employees_text.

Histogram: 1 to 10100000, 1,855; 10100001 to 20200000, 1; 20200001 to 30300000, 0; 30300001 to 40400000, 1; 40400001 to 50500000, 0; 50500001 to 60600000, 0; 60600001 to 70700000, 0; 70700001 to 80800000, 1
180800000
Valid
1,858 · 62.5%
Missing
1,117 · 37.5%
Distinct
1,195 · 64.3% of valid
Min
1
25%
289
Median
1932
75%
9000
Max
80800000

founded_year

integer

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

Histogram: 1784 to 1813, 5; 1814 to 1843, 10; 1844 to 1872, 27; 1873 to 1902, 81; 1903 to 1932, 134; 1933 to 1961, 167; 1962 to 1991, 593; 1992 to 2020, 971
17842020
Valid
1,988 · 66.8%
Missing
987 · 33.2%
Distinct
177 · 8.9% of valid
Min
1784
25%
1968
Median
1991
75%
2005
Max
2020

extraction_model

string

The extraction model pin that answered.

  • mostlyright/nuextract3-web-g-fp8-24086297100%
Valid
2,558 · 86%
Missing
417 · 14%
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%
  • Industrials17%
  • Financials16%
Valid
2,625 · 88.2%
Missing
350 · 11.8%
Distinct
12 · 0.5% of valid

sector_confidence

decimal

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

Histogram: 0.20910000000000001 to 0.30538750000000003, 22; 0.30538750000000003 to 0.401675, 94; 0.401675 to 0.49796250000000003, 165; 0.49796250000000003 to 0.59424999999999994, 228; 0.59424999999999994 to 0.69053750000000003, 248; 0.69053750000000003 to 0.78682500000000011, 292; 0.78682500000000011 to 0.88311249999999997, 493; 0.88311249999999997 to 0.97940000000000005, 1,083
0.20910.9794
Valid
2,625 · 88.2%
Missing
350 · 11.8%
Distinct
1,915 · 73% of valid
Min
0.2091
25%
0.6540
Median
0.8480
75%
0.9247
Max
0.9794

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
2,625 · 88.2%
Missing
350 · 11.8%
Distinct
5 · 0.2% of valid

business_model_confidence

decimal

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

Histogram: 0.21879999999999999 to 0.31369999999999998, 75; 0.31369999999999998 to 0.40859999999999996, 131; 0.40859999999999996 to 0.50350000000000006, 185; 0.50350000000000006 to 0.59840000000000004, 235; 0.59840000000000004 to 0.69330000000000003, 244; 0.69330000000000003 to 0.78820000000000001, 314; 0.78820000000000001 to 0.8831, 571; 0.8831 to 0.97799999999999998, 870
0.21880.9780
Valid
2,625 · 88.2%
Missing
350 · 11.8%
Distinct
2,012 · 76.6% of valid
Min
0.2188
25%
0.6127
Median
0.8118
75%
0.9071
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 sales41%
  • services or contracts15%
  • interest and lending10%
Valid
2,625 · 88.2%
Missing
350 · 11.8%
Distinct
11 · 0.4% of valid

revenue_model_confidence

decimal

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

Histogram: 0.1976 to 0.29425000000000001, 56; 0.29425000000000001 to 0.39090000000000003, 162; 0.39090000000000003 to 0.48754999999999998, 270; 0.48754999999999998 to 0.58420000000000005, 236; 0.58420000000000005 to 0.68084999999999996, 275; 0.68084999999999996 to 0.77749999999999997, 429; 0.77749999999999997 to 0.87414999999999998, 638; 0.87414999999999998 to 0.9708, 559
0.19760.9708
Valid
2,625 · 88.2%
Missing
350 · 11.8%
Distinct
2,131 · 81.2% of valid
Min
0.1976
25%
0.5584
Median
0.7545
75%
0.8593
Max
0.9708

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%
  • peripheral15%
  • significant3%
Valid
2,625 · 88.2%
Missing
350 · 11.8%
Distinct
4 · 0.2% of valid

ai_exposure_confidence

decimal

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

Histogram: 0.31069999999999998 to 0.39502499999999996, 3; 0.39502499999999996 to 0.47934999999999994, 82; 0.47934999999999994 to 0.56367499999999993, 167; 0.56367499999999993 to 0.64799999999999991, 181; 0.64799999999999991 to 0.73232499999999989, 179; 0.73232499999999989 to 0.81664999999999999, 170; 0.81664999999999999 to 0.90097499999999997, 220; 0.90097499999999997 to 0.98529999999999995, 1,623
0.31070.9853
Valid
2,625 · 88.2%
Missing
350 · 11.8%
Distinct
1,470 · 56% of valid
Min
0.3107
25%
0.7582
Median
0.9472
75%
0.9691
Max
0.9853

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 company64%
  • clinical-stage biotech10%
  • bank or lender8%
Valid
2,625 · 88.2%
Missing
350 · 11.8%
Distinct
10 · 0.4% of valid

company_type_confidence

decimal

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

Histogram: 0.2621 to 0.35155000000000003, 22; 0.35155000000000003 to 0.441, 96; 0.441 to 0.53044999999999998, 187; 0.53044999999999998 to 0.61990000000000001, 231; 0.61990000000000001 to 0.70935000000000004, 341; 0.70935000000000004 to 0.79879999999999995, 550; 0.79879999999999995 to 0.88824999999999998, 688; 0.88824999999999998 to 0.97770000000000001, 510
0.26210.9777
Valid
2,625 · 88.2%
Missing
350 · 11.8%
Distinct
2,024 · 77.1% of valid
Min
0.2621
25%
0.6570
Median
0.7839
75%
0.8631
Max
0.9777

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%
  • global43%
  • mostly outside the United States3%
Valid
2,625 · 88.2%
Missing
350 · 11.8%
Distinct
4 · 0.2% of valid

geographic_focus_confidence

decimal

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

Histogram: 0.25979999999999998 to 0.34998750000000001, 2; 0.34998750000000001 to 0.44017499999999998, 33; 0.44017499999999998 to 0.53036250000000007, 143; 0.53036250000000007 to 0.62054999999999993, 164; 0.62054999999999993 to 0.71073750000000002, 208; 0.71073750000000002 to 0.80092500000000011, 232; 0.80092500000000011 to 0.89111249999999997, 447; 0.89111249999999997 to 0.98130000000000006, 1,396
0.25980.9813
Valid
2,625 · 88.2%
Missing
350 · 11.8%
Distinct
1,752 · 66.7% of valid
Min
0.2598
25%
0.7534
Median
0.8999
75%
0.9450
Max
0.9813

classification_model

string

The classification model pin that answered.

  • cloudflare/clef-flash-fp8-17f0b0ad100%
Valid
2,625 · 88.2%
Missing
350 · 11.8%
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 policy22%
  • economy and demand18%
  • liquidity, debt or going concern13%
  • Other (3)
Valid
2,534 · 85.2%
Missing
441 · 14.8%
Distinct
15 · 0.6% of valid

top_risk_theme_confidence

decimal

Probability of the top_risk_theme label, 0 to 1.

Histogram: 0.1492 to 0.24327500000000002, 193; 0.24327500000000002 to 0.33735000000000004, 611; 0.33735000000000004 to 0.431425, 624; 0.431425 to 0.52550000000000008, 437; 0.52550000000000008 to 0.61957499999999999, 288; 0.61957499999999999 to 0.71365000000000001, 195; 0.71365000000000001 to 0.80772500000000003, 117; 0.80772500000000003 to 0.90180000000000005, 69
0.14920.9018
Valid
2,534 · 85.2%
Missing
441 · 14.8%
Distinct
2,020 · 79.7% of valid
Min
0.1492
25%
0.3143
Median
0.4073
75%
0.5321
Max
0.9018

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).

  • false53%
  • true47%
Valid
2,534 · 85.2%
Missing
441 · 14.8%
Distinct
2 · 0.1% of valid

tariff_risk_probability

decimal

Probability the classification model gave tariff_risk, 0 to 1.

Histogram: 0.0066 to 0.1284875, 1,175; 0.1284875 to 0.25037500000000001, 89; 0.25037500000000001 to 0.3722625, 32; 0.3722625 to 0.49414999999999998, 40; 0.49414999999999998 to 0.61603750000000002, 33; 0.61603750000000002 to 0.73792500000000005, 49; 0.73792500000000005 to 0.85981249999999998, 126; 0.85981249999999998 to 0.98170000000000002, 990
0.00660.9817
Valid
2,534 · 85.2%
Missing
441 · 14.8%
Distinct
1,027 · 40.5% of valid
Min
0.0066
25%
0.0188
Median
0.2621
75%
0.9507
Max
0.9817

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
2,534 · 85.2%
Missing
441 · 14.8%
Distinct
2 · 0.1% of valid

ai_risk_probability

decimal

Probability the classification model gave ai_risk, 0 to 1.

Histogram: 0.0077999999999999996 to 0.12293749999999999, 2,440; 0.12293749999999999 to 0.23807499999999998, 23; 0.23807499999999998 to 0.35321249999999993, 16; 0.35321249999999993 to 0.46834999999999993, 10; 0.46834999999999993 to 0.58348749999999994, 8; 0.58348749999999994 to 0.69862499999999994, 15; 0.69862499999999994 to 0.81376249999999994, 12; 0.81376249999999994 to 0.92889999999999995, 10
0.00780.9289
Valid
2,534 · 85.2%
Missing
441 · 14.8%
Distinct
355 · 14% of valid
Min
0.0078
25%
0.0128
Median
0.0159
75%
0.0206
Max
0.9289

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
2,534 · 85.2%
Missing
441 · 14.8%
Distinct
2 · 0.1% of valid

going_concern_risk_probability

decimal

Probability the classification model gave going_concern_risk, 0 to 1.

Histogram: 0.0064999999999999997 to 0.1283, 2,133; 0.1283 to 0.25009999999999999, 139; 0.25009999999999999 to 0.37190000000000001, 43; 0.37190000000000001 to 0.49370000000000003, 27; 0.49370000000000003 to 0.61549999999999994, 14; 0.61549999999999994 to 0.73729999999999996, 11; 0.73729999999999996 to 0.85909999999999997, 13; 0.85909999999999997 to 0.98089999999999999, 154
0.00650.9809
Valid
2,534 · 85.2%
Missing
441 · 14.8%
Distinct
740 · 29.2% of valid
Min
0.0065
25%
0.0145
Median
0.0215
75%
0.0599
Max
0.9809

business_excerpt

string

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

2,623 distinct values, no chart

Valid
2,625 · 88.2%
Missing
350 · 11.8%
Distinct
2,623 · 99.9% of valid

search_text

string

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

2,974 distinct values, no chart

Valid
2,975 · 100%
Missing
0 · 0%
Distinct
2,974 · 100% of valid

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