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Data viewTableSummary
Updated

4.4 MB across 12 parts, newest sealed 1 November 2026 at 02:54 UTC.

The first build wrote 12 parts and 2,743 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.

2,743 distinct values, no chart

Valid
2,743 · 100%
Missing
0 · 0%
Distinct
2,743 · 100% of valid

cik

integer

SEC CIK of the filer.

Histogram: 1750 to 218370, 420; 218371 to 434990, 65; 434991 to 651611, 0; 651612 to 868231, 366; 868232 to 1084852, 569; 1084853 to 1301472, 325; 1301473 to 1518093, 512; 1518094 to 1734713, 486
17501734713
Valid
2,743 · 100%
Missing
0 · 0%
Distinct
2,732 · 99.6% of valid
Min
1750
25%
792966
Median
1067294
75%
1429764
Max
1734713

listed_cik

integer

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

Histogram: 1750 to 266446, 418; 266447 to 531143, 64; 531144 to 795839, 209; 795840 to 1060536, 656; 1060537 to 1325233, 423; 1325234 to 1589929, 644; 1589930 to 1854626, 317; 1854627 to 2119322, 12
17502119322
Valid
2,743 · 100%
Missing
0 · 0%
Distinct
2,732 · 99.6% of valid
Min
1750
25%
793733
Median
1069258
75%
1436229
Max
2119322

ticker

string

Primary ticker, such as AAPL.

2,732 distinct values, no chart

Valid
2,743 · 100%
Missing
0 · 0%
Distinct
2,732 · 99.6% of valid

company_name

string

Company name on the EDGAR index.

2,732 distinct values, no chart

Valid
2,743 · 100%
Missing
0 · 0%
Distinct
2,732 · 99.6% of valid

form

string

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

  • 10-K100%
  • 10-KT0%
Valid
2,743 · 100%
Missing
0 · 0%
Distinct
2 · 0.1% of valid

filed_date

date

Date the report was filed.

Timeline per month: 2018-01-01, 38; 2018-02-01, 1,067; 2018-03-01, 970; 2018-04-01, 165; 2018-05-01, 57; 2018-06-01, 58; 2018-07-01, 31; 2018-08-01, 82; 2018-09-01, 66; 2018-10-01, 35; 2018-11-01, 95; 2018-12-01, 79
2018-01-012018-12-01

per month

Valid
2,743 · 100%
Missing
0 · 0%
Distinct
214 · 7.8% of valid

period_of_report

date

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

0 distinct values, no chart

Valid
0 · 0%
Missing
2,743 · 100%
Distinct
0 · 0% of valid

fiscal_year

integer

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

0 distinct values, no chart

Valid
0 · 0%
Missing
2,743 · 100%
Distinct
0 · 0% of valid

fiscal_year_end

string

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

0 distinct values, no chart

Valid
0 · 0%
Missing
2,743 · 100%
Distinct
0 · 0% of valid

doc_url

string

Main document on EDGAR.

2,743 distinct values, no chart

Valid
2,743 · 100%
Missing
0 · 0%
Distinct
2,743 · 100% of valid

index_url

string

Filing index page on EDGAR.

2,743 distinct values, no chart

Valid
2,743 · 100%
Missing
0 · 0%
Distinct
2,743 · 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
2,743 · 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
2,743 · 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
2,743 · 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
2,743 · 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
2,743 · 100%
Distinct
0 · 0% of valid

filer_category

string

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

0 distinct values, no chart

Valid
0 · 0%
Missing
2,743 · 100%
Distinct
0 · 0% of valid

shell_company

boolean

True when the cover page checks the shell company box.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,743 · 100%
Distinct
0 · 0% of valid

well_known_seasoned_issuer

boolean

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

0 distinct values, no chart

Valid
0 · 0%
Missing
2,743 · 100%
Distinct
0 · 0% of valid

smaller_reporting_company

boolean

True when the cover page checks smaller reporting company.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,743 · 100%
Distinct
0 · 0% of valid

emerging_growth_company

boolean

True when the cover page checks emerging growth company.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,743 · 100%
Distinct
0 · 0% 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
2,743 · 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).

0 distinct values, no chart

Valid
0 · 0%
Missing
2,743 · 100%
Distinct
0 · 0% of valid

shares_outstanding

integer

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

0 distinct values, no chart

Valid
0 · 0%
Missing
2,743 · 100%
Distinct
0 · 0% of valid

incorporation_code

string

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

0 distinct values, no chart

Valid
0 · 0%
Missing
2,743 · 100%
Distinct
0 · 0% of valid

hq_city

string

City of the principal executive offices, as tagged.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,743 · 100%
Distinct
0 · 0% of valid

hq_state

string

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

0 distinct values, no chart

Valid
0 · 0%
Missing
2,743 · 100%
Distinct
0 · 0% 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).

  • false90%
  • true10%
Valid
2,539 · 92.6%
Missing
204 · 7.4%
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).

  • false87%
  • true13%
Valid
2,539 · 92.6%
Missing
204 · 7.4%
Distinct
2 · 0.1% of valid

ai_mentions

integer

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

Histogram: 0 to 12, 2,515; 13 to 24, 16; 25 to 37, 3; 38 to 49, 3; 50 to 61, 0; 62 to 74, 1; 75 to 86, 0; 87 to 98, 1
098
Valid
2,539 · 92.6%
Missing
204 · 7.4%
Distinct
30 · 1.2% of valid
Min
0
25%
0
Median
0
75%
0
Max
98

tariff_mentions

integer

Times the report says tariff or tariffs.

Histogram: 0 to 6, 2,402; 7 to 13, 92; 14 to 20, 24; 21 to 27, 9; 28 to 34, 5; 35 to 41, 2; 42 to 48, 4; 49 to 54, 1
054
Valid
2,539 · 92.6%
Missing
204 · 7.4%
Distinct
31 · 1.2% of valid
Min
0
25%
0
Median
0
75%
1
Max
54

doc_chars

integer

Characters of text in the main document.

Histogram: 9984 to 123825, 94; 123826 to 237667, 347; 237668 to 351509, 785; 351510 to 465351, 766; 465352 to 579193, 372; 579194 to 693035, 130; 693036 to 806877, 34; 806878 to 920718, 11
9984920718
Valid
2,539 · 92.6%
Missing
204 · 7.4%
Distinct
2,528 · 99.6% of valid
Min
9984
25%
273998
Median
357687
75%
450134
Max
920718

sections_found

integer

How many standard Items were found in the document.

Histogram: 0 to 1, 259; 2 to 2, 37; 3 to 3, 40; 4 to 4, 34; 5 to 6, 583; 7 to 7, 901; 8 to 8, 882; 9 to 9, 7
09
Valid
2,743 · 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: 611 to 112563, 2,184; 112564 to 224516, 176; 224517 to 336469, 30; 336470 to 448422, 9; 448423 to 560375, 3; 560376 to 672328, 0; 672329 to 784281, 0; 784282 to 896233, 1
611896233
Valid
2,403 · 87.6%
Missing
340 · 12.4%
Distinct
2,362 · 98.3% of valid
Min
611
25%
27073
Median
43095
75%
70999
Max
896233

risk_factors_chars

integer

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

Histogram: 482 to 77010, 1,539; 77011 to 153539, 635; 153540 to 230068, 111; 230069 to 306596, 14; 306597 to 383125, 1; 383126 to 459654, 1; 459655 to 536183, 1; 536184 to 612711, 1
482612711
Valid
2,303 · 84%
Missing
440 · 16%
Distinct
2,287 · 99.3% of valid
Min
482
25%
37419
Median
57705
75%
91618
Max
612711

cybersecurity_chars

integer

Characters in Item 1C Cybersecurity.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,743 · 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 19295, 1,373; 19296 to 38181, 12; 38182 to 57067, 2; 57068 to 75952, 1; 75953 to 94838, 1; 94839 to 113724, 1; 113725 to 132610, 0; 132611 to 151495, 1
410151495
Valid
1,391 · 50.7%
Missing
1,352 · 49.3%
Distinct
1,085 · 78% of valid
Min
410
25%
670
Median
1271
75%
2933
Max
151495

mdna_chars

integer

Characters in Item 7 Management's Discussion and Analysis.

Histogram: 405 to 71925, 1,294; 71926 to 143446, 894; 143447 to 214967, 88; 214968 to 286487, 12; 286488 to 358008, 1; 358009 to 429529, 0; 429530 to 501050, 1; 501051 to 572570, 1
405572570
Valid
2,291 · 83.5%
Missing
452 · 16.5%
Distinct
2,275 · 99.3% of valid
Min
405
25%
44650
Median
65421
75%
90200
Max
572570

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.

2,287 distinct values, no chart

Valid
2,291 · 83.5%
Missing
452 · 16.5%
Distinct
2,287 · 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.

1,613 distinct values, no chart

Valid
1,652 · 60.2%
Missing
1,091 · 39.8%
Distinct
1,613 · 97.6% of valid

segments

string

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

1,622 distinct values, no chart

Valid
1,634 · 59.6%
Missing
1,109 · 40.4%
Distinct
1,622 · 99.3% 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.

1,134 distinct values, no chart

Valid
1,136 · 41.4%
Missing
1,607 · 58.6%
Distinct
1,134 · 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.

960 distinct values, no chart

Valid
961 · 35%
Missing
1,782 · 65%
Distinct
960 · 99.9% of valid

competitors

string

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

1,800 distinct values, no chart

Valid
1,804 · 65.8%
Missing
939 · 34.2%
Distinct
1,800 · 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, 201758%
  • June 30, 20184%
  • September 30, 20184%
  • Other (167)
Valid
1,719 · 62.7%
Missing
1,024 · 37.3%
Distinct
179 · 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.

1,193 distinct values, no chart

Valid
1,348 · 49.1%
Missing
1,395 · 50.9%
Distinct
1,193 · 88.5% 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.

1,596 distinct values, no chart

Valid
1,742 · 63.5%
Missing
1,001 · 36.5%
Distinct
1,596 · 91.6% 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.

903 distinct values, no chart

Valid
908 · 33.1%
Missing
1,835 · 66.9%
Distinct
903 · 99.4% 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.

764 distinct values, no chart

Valid
766 · 27.9%
Missing
1,977 · 72.1%
Distinct
764 · 99.7% 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.

517 distinct values, no chart

Valid
517 · 18.8%
Missing
2,226 · 81.2%
Distinct
517 · 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.

1,361 distinct values, no chart

Valid
1,449 · 52.8%
Missing
1,294 · 47.2%
Distinct
1,361 · 93.9% of valid

website

string

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

1,696 distinct values, no chart

Valid
1,726 · 62.9%
Missing
1,017 · 37.1%
Distinct
1,696 · 98.3% of valid

employees_text

string

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

1,842 distinct values, no chart

Valid
1,897 · 69.2%
Missing
846 · 30.8%
Distinct
1,842 · 97.1% of valid

employees_count

integer

Number of employees parsed from employees_text.

Histogram: 1 to 9575000, 1,698; 9575001 to 19150000, 1; 19150001 to 28725000, 0; 28725001 to 38300000, 0; 38300001 to 47875000, 0; 47875001 to 57450000, 0; 57450001 to 67025000, 0; 67025001 to 76600000, 1
176600000
Valid
1,700 · 62%
Missing
1,043 · 38%
Distinct
1,126 · 66.2% of valid
Min
1
25%
264
Median
1746
75%
8726
Max
76600000

founded_year

integer

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

Histogram: 1784 to 1813, 5; 1814 to 1842, 3; 1843 to 1872, 28; 1873 to 1901, 74; 1902 to 1930, 127; 1931 to 1960, 158; 1961 to 1989, 549; 1990 to 2018, 932
17842018
Valid
1,876 · 68.4%
Missing
867 · 31.6%
Distinct
171 · 9.1% of valid
Min
1784
25%
1968
Median
1989
75%
2003
Max
2018

extraction_model

string

The extraction model pin that answered.

  • mostlyright/nuextract3-web-g-fp8-24086297100%
Valid
2,332 · 85%
Missing
411 · 15%
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.

  • Industrials17%
  • Health Care17%
  • Financials17%
Valid
2,403 · 87.6%
Missing
340 · 12.4%
Distinct
12 · 0.5% of valid

sector_confidence

decimal

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

Histogram: 0.2044 to 0.301425, 20; 0.301425 to 0.39844999999999997, 67; 0.39844999999999997 to 0.495475, 177; 0.495475 to 0.59250000000000003, 199; 0.59250000000000003 to 0.68952500000000005, 250; 0.68952500000000005 to 0.78654999999999997, 274; 0.78654999999999997 to 0.883575, 470; 0.883575 to 0.98060000000000003, 946
0.20440.9806
Valid
2,403 · 87.6%
Missing
340 · 12.4%
Distinct
1,802 · 75% of valid
Min
0.2044
25%
0.6505
Median
0.8414
75%
0.9235
Max
0.9806

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%
  • consumers11%
Valid
2,403 · 87.6%
Missing
340 · 12.4%
Distinct
5 · 0.2% of valid

business_model_confidence

decimal

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

Histogram: 0.21099999999999999 to 0.30702499999999999, 48; 0.30702499999999999 to 0.40305000000000002, 98; 0.40305000000000002 to 0.49907499999999994, 198; 0.49907499999999994 to 0.59509999999999996, 214; 0.59509999999999996 to 0.69112499999999999, 211; 0.69112499999999999 to 0.78714999999999991, 304; 0.78714999999999991 to 0.88317499999999993, 554; 0.88317499999999993 to 0.97919999999999996, 776
0.21100.9792
Valid
2,403 · 87.6%
Missing
340 · 12.4%
Distinct
1,904 · 79.2% of valid
Min
0.2110
25%
0.6160
Median
0.8144
75%
0.9073
Max
0.9792

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 sales43%
  • services or contracts15%
  • interest and lending10%
Valid
2,403 · 87.6%
Missing
340 · 12.4%
Distinct
11 · 0.5% of valid

revenue_model_confidence

decimal

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

Histogram: 0.2046 to 0.3001125, 54; 0.3001125 to 0.395625, 153; 0.395625 to 0.4911375, 212; 0.4911375 to 0.58665, 193; 0.58665 to 0.6821625, 296; 0.6821625 to 0.77767500000000001, 351; 0.77767500000000001 to 0.87318750000000001, 620; 0.87318750000000001 to 0.96870000000000001, 524
0.20460.9687
Valid
2,403 · 87.6%
Missing
340 · 12.4%
Distinct
1,961 · 81.6% of valid
Min
0.2046
25%
0.5803
Median
0.7648
75%
0.8630
Max
0.9687

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.

  • none89%
  • peripheral9%
  • significant2%
Valid
2,403 · 87.6%
Missing
340 · 12.4%
Distinct
4 · 0.2% of valid

ai_exposure_confidence

decimal

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

Histogram: 0.33310000000000001 to 0.41487499999999999, 12; 0.41487499999999999 to 0.49664999999999998, 59; 0.49664999999999998 to 0.57842499999999997, 103; 0.57842499999999997 to 0.6601999999999999, 117; 0.6601999999999999 to 0.74197499999999994, 130; 0.74197499999999994 to 0.82374999999999998, 121; 0.82374999999999998 to 0.90552499999999991, 196; 0.90552499999999991 to 0.98729999999999984, 1,665
0.33310.9873
Valid
2,403 · 87.6%
Missing
340 · 12.4%
Distinct
1,220 · 50.8% of valid
Min
0.3331
25%
0.8584
Median
0.9575
75%
0.9712
Max
0.9873

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
2,403 · 87.6%
Missing
340 · 12.4%
Distinct
10 · 0.4% of valid

company_type_confidence

decimal

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

Histogram: 0.2311 to 0.32472499999999999, 16; 0.32472499999999999 to 0.41835, 62; 0.41835 to 0.51197499999999996, 138; 0.51197499999999996 to 0.60560000000000003, 239; 0.60560000000000003 to 0.69922499999999999, 299; 0.69922499999999999 to 0.79284999999999994, 531; 0.79284999999999994 to 0.88647500000000001, 648; 0.88647500000000001 to 0.98009999999999997, 470
0.23110.9801
Valid
2,403 · 87.6%
Missing
340 · 12.4%
Distinct
1,898 · 79% of valid
Min
0.2311
25%
0.6561
Median
0.7808
75%
0.8637
Max
0.9801

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 States55%
  • global41%
  • mostly outside the United States3%
Valid
2,403 · 87.6%
Missing
340 · 12.4%
Distinct
4 · 0.2% of valid

geographic_focus_confidence

decimal

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

Histogram: 0.28310000000000002 to 0.37055000000000005, 5; 0.37055000000000005 to 0.45800000000000002, 31; 0.45800000000000002 to 0.54544999999999999, 132; 0.54544999999999999 to 0.63290000000000002, 166; 0.63290000000000002 to 0.72035000000000005, 166; 0.72035000000000005 to 0.80779999999999996, 239; 0.80779999999999996 to 0.89524999999999999, 448; 0.89524999999999999 to 0.98270000000000002, 1,216
0.28310.9827
Valid
2,403 · 87.6%
Missing
340 · 12.4%
Distinct
1,660 · 69.1% of valid
Min
0.2831
25%
0.7623
Median
0.8967
75%
0.9445
Max
0.9827

classification_model

string

The classification model pin that answered.

  • cloudflare/clef-flash-fp8-17f0b0ad100%
Valid
2,403 · 87.6%
Missing
340 · 12.4%
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 policy24%
  • economy and demand18%
  • competition12%
  • Other (3)
Valid
2,302 · 83.9%
Missing
441 · 16.1%
Distinct
15 · 0.7% of valid

top_risk_theme_confidence

decimal

Probability of the top_risk_theme label, 0 to 1.

Histogram: 0.15490000000000001 to 0.2487375, 206; 0.2487375 to 0.34257499999999996, 605; 0.34257499999999996 to 0.43641249999999998, 522; 0.43641249999999998 to 0.53025, 370; 0.53025 to 0.62408750000000002, 252; 0.62408750000000002 to 0.71792499999999992, 177; 0.71792499999999992 to 0.81176249999999994, 108; 0.81176249999999994 to 0.90559999999999996, 62
0.15490.9056
Valid
2,302 · 83.9%
Missing
441 · 16.1%
Distinct
1,870 · 81.2% of valid
Min
0.1549
25%
0.3102
Median
0.4018
75%
0.5387
Max
0.9056

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).

  • false63%
  • true37%
Valid
2,302 · 83.9%
Missing
441 · 16.1%
Distinct
2 · 0.1% of valid

tariff_risk_probability

decimal

Probability the classification model gave tariff_risk, 0 to 1.

Histogram: 0.0071999999999999998 to 0.1288125, 1,295; 0.1288125 to 0.25042500000000001, 88; 0.25042500000000001 to 0.37203749999999997, 37; 0.37203749999999997 to 0.49364999999999998, 30; 0.49364999999999998 to 0.61526249999999993, 31; 0.61526249999999993 to 0.73687499999999995, 50; 0.73687499999999995 to 0.85848749999999996, 118; 0.85848749999999996 to 0.98009999999999997, 653
0.00720.9801
Valid
2,302 · 83.9%
Missing
441 · 16.1%
Distinct
965 · 41.9% of valid
Min
0.0072
25%
0.0169
Median
0.0567
75%
0.9005
Max
0.9801

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
2,302 · 83.9%
Missing
441 · 16.1%
Distinct
2 · 0.1% of valid

ai_risk_probability

decimal

Probability the classification model gave ai_risk, 0 to 1.

Histogram: 0.0071000000000000004 to 0.112525, 2,256; 0.112525 to 0.21795, 19; 0.21795 to 0.32337500000000002, 9; 0.32337500000000002 to 0.42880000000000001, 5; 0.42880000000000001 to 0.53422500000000006, 2; 0.53422500000000006 to 0.63965000000000005, 5; 0.63965000000000005 to 0.74507500000000004, 2; 0.74507500000000004 to 0.85050000000000003, 4
0.00710.8505
Valid
2,302 · 83.9%
Missing
441 · 16.1%
Distinct
271 · 11.8% of valid
Min
0.0071
25%
0.0122
Median
0.0150
75%
0.0193
Max
0.8505

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).

  • false93%
  • true7%
Valid
2,302 · 83.9%
Missing
441 · 16.1%
Distinct
2 · 0.1% of valid

going_concern_risk_probability

decimal

Probability the classification model gave going_concern_risk, 0 to 1.

Histogram: 0.0067999999999999996 to 0.12789999999999999, 1,961; 0.12789999999999999 to 0.249, 112; 0.249 to 0.37009999999999998, 43; 0.37009999999999998 to 0.49119999999999997, 30; 0.49119999999999997 to 0.61230000000000007, 14; 0.61230000000000007 to 0.73340000000000005, 12; 0.73340000000000005 to 0.85450000000000004, 16; 0.85450000000000004 to 0.97560000000000002, 114
0.00680.9756
Valid
2,302 · 83.9%
Missing
441 · 16.1%
Distinct
654 · 28.4% of valid
Min
0.0068
25%
0.0138
Median
0.0184
75%
0.0478
Max
0.9756

business_excerpt

string

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

2,402 distinct values, no chart

Valid
2,403 · 87.6%
Missing
340 · 12.4%
Distinct
2,402 · 100% of valid

search_text

string

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

2,740 distinct values, no chart

Valid
2,743 · 100%
Missing
0 · 0%
Distinct
2,740 · 99.9% of valid

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