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Data viewTableSummary
Updated

4.7 MB across 12 parts, newest sealed 1 November 2026 at 03:01 UTC.

The first build wrote 12 parts and 2,853 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.

2,853 distinct values, no chart

Valid
2,853 · 100%
Missing
0 · 0%
Distinct
2,853 · 100% of valid

cik

integer

SEC CIK of the filer.

Histogram: 1750 to 223053, 416; 223054 to 444356, 65; 444357 to 665660, 0; 665661 to 886963, 444; 886964 to 1108267, 542; 1108268 to 1329570, 331; 1329571 to 1550874, 555; 1550875 to 1772177, 500
17501772177
Valid
2,853 · 100%
Missing
0 · 0%
Distinct
2,842 · 99.6% of valid
Min
1750
25%
803578
Median
1092699
75%
1467623
Max
1772177

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, 64; 531144 to 795839, 209; 795840 to 1060536, 649; 1060537 to 1325233, 429; 1325234 to 1589929, 668; 1589930 to 1854626, 407; 1854627 to 2119322, 11
17502119322
Valid
2,853 · 100%
Missing
0 · 0%
Distinct
2,842 · 99.6% of valid
Min
1750
25%
805676
Median
1093691
75%
1472494
Max
2119322

ticker

string

Primary ticker, such as AAPL.

2,842 distinct values, no chart

Valid
2,853 · 100%
Missing
0 · 0%
Distinct
2,842 · 99.6% of valid

company_name

string

Company name on the EDGAR index.

2,842 distinct values, no chart

Valid
2,853 · 100%
Missing
0 · 0%
Distinct
2,842 · 99.6% of valid

form

string

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

  • 10-K100%
  • 10-KT0%
Valid
2,853 · 100%
Missing
0 · 0%
Distinct
2 · 0.1% of valid

filed_date

date

Date the report was filed.

Timeline per month: 2019-01-01, 39; 2019-02-01, 1,160; 2019-03-01, 955; 2019-04-01, 184; 2019-05-01, 64; 2019-06-01, 51; 2019-07-01, 39; 2019-08-01, 89; 2019-09-01, 67; 2019-10-01, 32; 2019-11-01, 94; 2019-12-01, 79
2019-01-012019-12-01

per month

Valid
2,853 · 100%
Missing
0 · 0%
Distinct
214 · 7.5% of valid

period_of_report

date

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

Timeline per quarter: 2017-04-01, 1; 2017-07-01, 0; 2017-10-01, 2; 2018-01-01, 0; 2018-04-01, 0; 2018-07-01, 2; 2018-10-01, 2,182; 2019-01-01, 188; 2019-04-01, 182; 2019-07-01, 182; 2019-10-01, 22
2017-04-012019-10-01

per quarter

Valid
2,761 · 96.8%
Missing
92 · 3.2%
Distinct
62 · 2.2% of valid

fiscal_year

integer

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

Histogram: 2017 to 7198, 2,759; 7199 to 12379, 0; 12380 to 17560, 0; 17561 to 22741, 0; 22742 to 27922, 0; 27923 to 33103, 0; 33104 to 38284, 0; 38285 to 43465, 1
201743465
Valid
2,760 · 96.7%
Missing
93 · 3.3%
Distinct
5 · 0.2% of valid
Min
2017
25%
2018
Median
2018
75%
2018
Max
43465

fiscal_year_end

string

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

  • 12-3174%
  • 06-304%
  • 09-304%
  • Other (47)
Valid
2,761 · 96.8%
Missing
92 · 3.2%
Distinct
59 · 2.1% of valid

doc_url

string

Main document on EDGAR.

2,853 distinct values, no chart

Valid
2,853 · 100%
Missing
0 · 0%
Distinct
2,853 · 100% of valid

index_url

string

Filing index page on EDGAR.

2,853 distinct values, no chart

Valid
2,853 · 100%
Missing
0 · 0%
Distinct
2,853 · 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
2,853 · 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
2,853 · 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
2,853 · 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
2,853 · 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
2,853 · 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 filer54%
  • Accelerated filer23%
  • Non-accelerated filer22%
Valid
2,761 · 96.8%
Missing
92 · 3.2%
Distinct
5 · 0.2% of valid

shell_company

boolean

True when the cover page checks the shell company box.

  • false99%
  • true1%
Valid
2,523 · 88.4%
Missing
330 · 11.6%
Distinct
2 · 0.1% of valid

well_known_seasoned_issuer

boolean

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

  • false50%
  • true50%
Valid
2,761 · 96.8%
Missing
92 · 3.2%
Distinct
2 · 0.1% of valid

smaller_reporting_company

boolean

True when the cover page checks smaller reporting company.

  • false69%
  • true31%
Valid
2,545 · 89.2%
Missing
308 · 10.8%
Distinct
2 · 0.1% of valid

emerging_growth_company

boolean

True when the cover page checks emerging growth company.

  • false87%
  • true13%
Valid
2,545 · 89.2%
Missing
308 · 10.8%
Distinct
2 · 0.1% of valid

icfr_auditor_attestation

boolean

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

0 distinct values, no chart

Valid
0 · 0%
Missing
2,853 · 100%
Distinct
0 · 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).

Histogram: 0 to 1918479448750000, 2,756; 1918479448750000 to 3836958897500000, 1; 3836958897500000 to 5755438346250000, 0; 5755438346250000 to 7673917795000000, 0; 7673917795000000 to 9592397243750000, 0; 9592397243750000 to 11510876692500000, 0; 11510876692500000 to 13429356141250000, 0; 13429356141250000 to 15347835590000000, 1
015347835590000000
Valid
2,758 · 96.7%
Missing
95 · 3.3%
Distinct
2,448 · 88.8% of valid
Min
0
25%
149232154
Median
941019296
75%
4611144658
Max
15347835590000000

shares_outstanding

integer

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

Histogram: 0 to 13934525375, 2,758; 13934525376 to 27869050750, 1; 27869050751 to 41803576125, 0; 41803576126 to 55738101500, 0; 55738101501 to 69672626875, 0; 69672626876 to 83607152250, 0; 83607152251 to 97541677625, 0; 97541677626 to 111476203000, 1
0111476203000
Valid
2,760 · 96.7%
Missing
93 · 3.3%
Distinct
2,748 · 99.6% of valid
Min
0
25%
19681659
Median
45745692
75%
123280140
Max
111476203000

incorporation_code

string

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

  • DE54%
  • NV9%
  • FL4%
  • Other (17)
Valid
185 · 6.5%
Missing
2,668 · 93.5%
Distinct
29 · 15.7% of valid

hq_city

string

City of the principal executive offices, as tagged.

123 distinct values, no chart

Valid
170 · 6%
Missing
2,683 · 94%
Distinct
123 · 72.4% of valid

hq_state

string

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

  • CA20%
  • NY7%
  • TX6%
  • Other (37)
Valid
187 · 6.6%
Missing
2,666 · 93.4%
Distinct
49 · 26.2% 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
2,657 · 93.1%
Missing
196 · 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).

  • false86%
  • true14%
Valid
2,657 · 93.1%
Missing
196 · 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 9, 2,610; 10 to 18, 29; 19 to 27, 5; 28 to 36, 4; 37 to 46, 6; 47 to 55, 1; 56 to 64, 1; 65 to 73, 1
073
Valid
2,657 · 93.1%
Missing
196 · 6.9%
Distinct
35 · 1.3% of valid
Min
0
25%
0
Median
0
75%
0
Max
73

tariff_mentions

integer

Times the report says tariff or tariffs.

Histogram: 0 to 6, 2,263; 7 to 13, 247; 14 to 20, 95; 21 to 27, 26; 28 to 34, 12; 35 to 41, 6; 42 to 48, 5; 49 to 55, 3
055
Valid
2,657 · 93.1%
Missing
196 · 6.9%
Distinct
42 · 1.6% of valid
Min
0
25%
0
Median
1
75%
3
Max
55

doc_chars

integer

Characters of text in the main document.

Histogram: 9921 to 138158, 96; 138159 to 266396, 474; 266397 to 394634, 958; 394635 to 522872, 759; 522873 to 651110, 273; 651111 to 779348, 72; 779349 to 907586, 20; 907587 to 1035824, 5
99211035824
Valid
2,657 · 93.1%
Missing
196 · 6.9%
Distinct
2,648 · 99.7% of valid
Min
9921
25%
282254
Median
366966
75%
463187
Max
1035824

sections_found

integer

How many standard Items were found in the document.

Histogram: 0 to 1, 255; 2 to 2, 36; 3 to 3, 37; 4 to 4, 36; 5 to 6, 627; 7 to 7, 984; 8 to 8, 874; 9 to 9, 4
09
Valid
2,853 · 100%
Missing
0 · 0%
Distinct
10 · 0.4% of valid
Min
0
25%
6
Median
7
75%
8
Max
9

business_chars

integer

Characters in Item 1 Business.

Histogram: 1145 to 114686, 2,274; 114687 to 228227, 197; 228228 to 341768, 22; 341769 to 455309, 14; 455310 to 568850, 4; 568851 to 682391, 3; 682392 to 795932, 0; 795933 to 909473, 1
1145909473
Valid
2,515 · 88.2%
Missing
338 · 11.8%
Distinct
2,490 · 99% of valid
Min
1145
25%
27198
Median
42877
75%
72056
Max
909473

risk_factors_chars

integer

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

Histogram: 561 to 71421, 1,415; 71422 to 142281, 758; 142282 to 213142, 198; 213143 to 284002, 41; 284003 to 354863, 7; 354864 to 425723, 1; 425724 to 496584, 1; 496585 to 567444, 2
561567444
Valid
2,423 · 84.9%
Missing
430 · 15.1%
Distinct
2,400 · 99.1% of valid
Min
561
25%
39693
Median
62331
75%
99354
Max
567444

cybersecurity_chars

integer

Characters in Item 1C Cybersecurity.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,853 · 100%
Distinct
0 · 0% of valid

legal_proceedings_chars

integer

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

Histogram: 410 to 23391, 1,429; 23392 to 46372, 9; 46373 to 69354, 2; 69355 to 92335, 0; 92336 to 115317, 1; 115318 to 138298, 0; 138299 to 161280, 2; 161281 to 184261, 2
410184261
Valid
1,445 · 50.6%
Missing
1,408 · 49.4%
Distinct
1,106 · 76.5% of valid
Min
410
25%
668
Median
1185
75%
2921
Max
184261

mdna_chars

integer

Characters in Item 7 Management's Discussion and Analysis.

Histogram: 440 to 58255, 1,057; 58256 to 116071, 1,105; 116072 to 173887, 189; 173888 to 231703, 33; 231704 to 289519, 9; 289520 to 347335, 2; 347336 to 405151, 0; 405152 to 462967, 2
440462967
Valid
2,397 · 84%
Missing
456 · 16%
Distinct
2,359 · 98.4% of valid
Min
440
25%
43285
Median
63271
75%
87182
Max
462967

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.

2,406 distinct values, no chart

Valid
2,411 · 84.5%
Missing
442 · 15.5%
Distinct
2,406 · 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.

1,722 distinct values, no chart

Valid
1,769 · 62%
Missing
1,084 · 38%
Distinct
1,722 · 97.3% of valid

segments

string

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

1,658 distinct values, no chart

Valid
1,668 · 58.5%
Missing
1,185 · 41.5%
Distinct
1,658 · 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.

1,188 distinct values, no chart

Valid
1,190 · 41.7%
Missing
1,663 · 58.3%
Distinct
1,188 · 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.

1,024 distinct values, no chart

Valid
1,027 · 36%
Missing
1,826 · 64%
Distinct
1,024 · 99.7% of valid

competitors

string

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

1,901 distinct values, no chart

Valid
1,904 · 66.7%
Missing
949 · 33.3%
Distinct
1,901 · 99.8% 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, 201857%
  • June 30, 20194%
  • September 30, 20193%
  • Other (177)
Valid
1,805 · 63.3%
Missing
1,048 · 36.7%
Distinct
189 · 10.5% 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.

1,243 distinct values, no chart

Valid
1,400 · 49.1%
Missing
1,453 · 50.9%
Distinct
1,243 · 88.8% 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.

1,619 distinct values, no chart

Valid
1,795 · 62.9%
Missing
1,058 · 37.1%
Distinct
1,619 · 90.2% 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.

954 distinct values, no chart

Valid
957 · 33.5%
Missing
1,896 · 66.5%
Distinct
954 · 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.

778 distinct values, no chart

Valid
784 · 27.5%
Missing
2,069 · 72.5%
Distinct
778 · 99.2% 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.

528 distinct values, no chart

Valid
529 · 18.5%
Missing
2,324 · 81.5%
Distinct
528 · 99.8% 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.

1,449 distinct values, no chart

Valid
1,553 · 54.4%
Missing
1,300 · 45.6%
Distinct
1,449 · 93.3% of valid

website

string

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

1,816 distinct values, no chart

Valid
1,854 · 65%
Missing
999 · 35%
Distinct
1,816 · 98% of valid

employees_text

string

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

1,925 distinct values, no chart

Valid
1,984 · 69.5%
Missing
869 · 30.5%
Distinct
1,925 · 97% of valid

employees_count

integer

Number of employees parsed from employees_text.

Histogram: 1 to 9837500, 1,778; 9837501 to 19675000, 1; 19675001 to 29512500, 0; 29512501 to 39350000, 0; 39350001 to 49187500, 0; 49187501 to 59025000, 0; 59025001 to 68862500, 0; 68862501 to 78700000, 1
178700000
Valid
1,780 · 62.4%
Missing
1,073 · 37.6%
Distinct
1,150 · 64.6% of valid
Min
1
25%
285
Median
1871
75%
8355
Max
78700000

founded_year

integer

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

Histogram: 1784 to 1813, 5; 1814 to 1842, 8; 1843 to 1872, 26; 1873 to 1901, 69; 1902 to 1931, 135; 1932 to 1960, 161; 1961 to 1990, 576; 1991 to 2019, 968
17842019
Valid
1,948 · 68.3%
Missing
905 · 31.7%
Distinct
175 · 9% of valid
Min
1784
25%
1968
Median
1990
75%
2004
Max
2019

extraction_model

string

The extraction model pin that answered.

  • mostlyright/nuextract3-web-g-fp8-24086297100%
Valid
2,447 · 85.8%
Missing
406 · 14.2%
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 Care18%
  • Industrials17%
  • Financials17%
Valid
2,515 · 88.2%
Missing
338 · 11.8%
Distinct
12 · 0.5% of valid

sector_confidence

decimal

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

Histogram: 0.2109 to 0.30713750000000001, 27; 0.30713750000000001 to 0.40337500000000004, 70; 0.40337500000000004 to 0.49961250000000001, 162; 0.49961250000000001 to 0.59584999999999999, 231; 0.59584999999999999 to 0.69208749999999997, 228; 0.69208749999999997 to 0.78832500000000005, 298; 0.78832500000000005 to 0.88456250000000003, 494; 0.88456250000000003 to 0.98080000000000001, 1,005
0.21090.9808
Valid
2,515 · 88.2%
Missing
338 · 11.8%
Distinct
1,865 · 74.2% of valid
Min
0.2109
25%
0.6542
Median
0.8447
75%
0.9235
Max
0.9808

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 consumers23%
  • consumers11%
Valid
2,515 · 88.2%
Missing
338 · 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: 0.2155 to 0.310975, 68; 0.310975 to 0.40644999999999998, 112; 0.40644999999999998 to 0.50192499999999995, 182; 0.50192499999999995 to 0.59739999999999993, 219; 0.59739999999999993 to 0.69287499999999991, 242; 0.69287499999999991 to 0.78835, 319; 0.78835 to 0.88382499999999997, 563; 0.88382499999999997 to 0.97929999999999995, 810
0.21550.9793
Valid
2,515 · 88.2%
Missing
338 · 11.8%
Distinct
1,949 · 77.5% of valid
Min
0.2155
25%
0.6145
Median
0.8150
75%
0.9051
Max
0.9793

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 sales42%
  • services or contracts15%
  • interest and lending10%
Valid
2,515 · 88.2%
Missing
338 · 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: 0.19750000000000001 to 0.29398750000000001, 37; 0.29398750000000001 to 0.39047500000000002, 169; 0.39047500000000002 to 0.48696250000000002, 232; 0.48696250000000002 to 0.58345000000000002, 238; 0.58345000000000002 to 0.67993750000000008, 254; 0.67993750000000008 to 0.77642500000000003, 420; 0.77642500000000003 to 0.87291249999999998, 622; 0.87291249999999998 to 0.96940000000000004, 543
0.19750.9694
Valid
2,515 · 88.2%
Missing
338 · 11.8%
Distinct
2,015 · 80.1% of valid
Min
0.1975
25%
0.5669
Median
0.7589
75%
0.8613
Max
0.9694

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.

  • none85%
  • peripheral12%
  • significant2%
Valid
2,515 · 88.2%
Missing
338 · 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: 0.34520000000000001 to 0.42531249999999998, 15; 0.42531249999999998 to 0.50542500000000001, 109; 0.50542500000000001 to 0.58553750000000004, 129; 0.58553750000000004 to 0.66565000000000007, 118; 0.66565000000000007 to 0.74576250000000011, 163; 0.74576250000000011 to 0.82587500000000003, 129; 0.82587500000000003 to 0.90598749999999995, 194; 0.90598749999999995 to 0.98609999999999998, 1,658
0.34520.9861
Valid
2,515 · 88.2%
Missing
338 · 11.8%
Distinct
1,331 · 52.9% of valid
Min
0.3452
25%
0.8078
Median
0.9540
75%
0.9703
Max
0.9861

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 biotech9%
  • bank or lender8%
Valid
2,515 · 88.2%
Missing
338 · 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: 0.24310000000000001 to 0.3348875, 20; 0.3348875 to 0.42667500000000003, 62; 0.42667500000000003 to 0.51846250000000005, 180; 0.51846250000000005 to 0.61025000000000007, 212; 0.61025000000000007 to 0.70203750000000009, 336; 0.70203750000000009 to 0.793825, 515; 0.793825 to 0.88561250000000002, 684; 0.88561250000000002 to 0.97740000000000005, 506
0.24310.9774
Valid
2,515 · 88.2%
Missing
338 · 11.8%
Distinct
1,965 · 78.1% of valid
Min
0.2431
25%
0.6582
Median
0.7835
75%
0.8645
Max
0.9774

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%
  • global43%
  • mostly outside the United States3%
Valid
2,515 · 88.2%
Missing
338 · 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: 0.30320000000000003 to 0.38788750000000005, 12; 0.38788750000000005 to 0.47257500000000002, 50; 0.47257500000000002 to 0.55726249999999999, 155; 0.55726249999999999 to 0.64195000000000002, 161; 0.64195000000000002 to 0.72663750000000005, 190; 0.72663750000000005 to 0.81132499999999996, 231; 0.81132499999999996 to 0.89601249999999999, 424; 0.89601249999999999 to 0.98070000000000002, 1,292
0.30320.9807
Valid
2,515 · 88.2%
Missing
338 · 11.8%
Distinct
1,693 · 67.3% of valid
Min
0.3032
25%
0.7505
Median
0.9004
75%
0.9449
Max
0.9807

classification_model

string

The classification model pin that answered.

  • cloudflare/clef-flash-fp8-17f0b0ad100%
Valid
2,515 · 88.2%
Missing
338 · 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 policy23%
  • economy and demand17%
  • liquidity, debt or going concern13%
  • Other (3)
Valid
2,423 · 84.9%
Missing
430 · 15.1%
Distinct
15 · 0.6% of valid

top_risk_theme_confidence

decimal

Probability of the top_risk_theme label, 0 to 1.

Histogram: 0.14560000000000001 to 0.24027500000000002, 172; 0.24027500000000002 to 0.33495000000000003, 597; 0.33495000000000003 to 0.42962500000000003, 586; 0.42962500000000003 to 0.52429999999999999, 427; 0.52429999999999999 to 0.61897500000000005, 277; 0.61897500000000005 to 0.71365000000000012, 183; 0.71365000000000012 to 0.80832499999999996, 120; 0.80832499999999996 to 0.90300000000000002, 61
0.14560.9030
Valid
2,423 · 84.9%
Missing
430 · 15.1%
Distinct
1,935 · 79.9% of valid
Min
0.1456
25%
0.3103
Median
0.4065
75%
0.5352
Max
0.9030

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).

  • false54%
  • true46%
Valid
2,423 · 84.9%
Missing
430 · 15.1%
Distinct
2 · 0.1% of valid

tariff_risk_probability

decimal

Probability the classification model gave tariff_risk, 0 to 1.

Histogram: 0.0071000000000000004 to 0.12868750000000001, 1,182; 0.12868750000000001 to 0.25027500000000003, 74; 0.25027500000000003 to 0.37186249999999998, 35; 0.37186249999999998 to 0.49345, 18; 0.49345 to 0.61503750000000001, 31; 0.61503750000000001 to 0.73662499999999997, 49; 0.73662499999999997 to 0.85821250000000004, 112; 0.85821250000000004 to 0.9798, 922
0.00710.9798
Valid
2,423 · 84.9%
Missing
430 · 15.1%
Distinct
942 · 38.9% of valid
Min
0.0071
25%
0.0180
Median
0.1689
75%
0.9468
Max
0.9798

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).

  • false99%
  • true1%
Valid
2,423 · 84.9%
Missing
430 · 15.1%
Distinct
2 · 0.1% of valid

ai_risk_probability

decimal

Probability the classification model gave ai_risk, 0 to 1.

Histogram: 0.0071999999999999998 to 0.121475, 2,353; 0.121475 to 0.23575000000000002, 19; 0.23575000000000002 to 0.35002499999999998, 10; 0.35002499999999998 to 0.46429999999999999, 9; 0.46429999999999999 to 0.57857499999999995, 7; 0.57857499999999995 to 0.69284999999999997, 5; 0.69284999999999997 to 0.80712499999999998, 11; 0.80712499999999998 to 0.9214, 9
0.00720.9214
Valid
2,423 · 84.9%
Missing
430 · 15.1%
Distinct
320 · 13.2% of valid
Min
0.0072
25%
0.0126
Median
0.0154
75%
0.0200
Max
0.9214

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
2,423 · 84.9%
Missing
430 · 15.1%
Distinct
2 · 0.1% of valid

going_concern_risk_probability

decimal

Probability the classification model gave going_concern_risk, 0 to 1.

Histogram: 0.0074999999999999997 to 0.12859999999999999, 2,047; 0.12859999999999999 to 0.24970000000000001, 121; 0.24970000000000001 to 0.37080000000000002, 46; 0.37080000000000002 to 0.4919, 21; 0.4919 to 0.61299999999999999, 19; 0.61299999999999999 to 0.73409999999999997, 12; 0.73409999999999997 to 0.85519999999999996, 19; 0.85519999999999996 to 0.97629999999999995, 138
0.00750.9763
Valid
2,423 · 84.9%
Missing
430 · 15.1%
Distinct
707 · 29.2% of valid
Min
0.0075
25%
0.0138
Median
0.0185
75%
0.0503
Max
0.9763

business_excerpt

string

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

2,509 distinct values, no chart

Valid
2,515 · 88.2%
Missing
338 · 11.8%
Distinct
2,509 · 99.8% of valid

search_text

string

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

2,851 distinct values, no chart

Valid
2,853 · 100%
Missing
0 · 0%
Distinct
2,851 · 99.9% of valid

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