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Data viewTableSummary
Updated

3.7 MB across 12 parts, newest sealed 1 November 2026 at 01:29 UTC.

The first build wrote 12 parts and 2,303 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.

2,303 distinct values, no chart

Valid
2,303 · 100%
Missing
0 · 0%
Distinct
2,303 · 100% of valid

cik

integer

SEC CIK of the filer.

Histogram: 1750 to 201662, 416; 201663 to 401574, 71; 401575 to 601486, 0; 601487 to 801398, 231; 801399 to 1001310, 437; 1001311 to 1201222, 463; 1201223 to 1401134, 314; 1401135 to 1601046, 371
17501601046
Valid
2,303 · 100%
Missing
0 · 0%
Distinct
2,293 · 99.6% of valid
Min
1750
25%
729580
Median
1001039
75%
1299969
Max
1601046

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, 208; 795840 to 1060536, 645; 1060537 to 1325233, 402; 1325234 to 1589929, 524; 1589930 to 1854626, 30; 1854627 to 2119322, 12
17502119322
Valid
2,303 · 100%
Missing
0 · 0%
Distinct
2,293 · 99.6% of valid
Min
1750
25%
731012
Median
1004434
75%
1320461
Max
2119322

ticker

string

Primary ticker, such as AAPL.

2,293 distinct values, no chart

Valid
2,303 · 100%
Missing
0 · 0%
Distinct
2,293 · 99.6% of valid

company_name

string

Company name on the EDGAR index.

2,294 distinct values, no chart

Valid
2,303 · 100%
Missing
0 · 0%
Distinct
2,294 · 99.6% of valid

form

string

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

  • 10-K100%
  • 10-KT0%
Valid
2,303 · 100%
Missing
0 · 0%
Distinct
2 · 0.1% of valid

filed_date

date

Date the report was filed.

Timeline per month: 2014-01-01, 41; 2014-02-01, 854; 2014-03-01, 866; 2014-04-01, 73; 2014-05-01, 42; 2014-06-01, 54; 2014-07-01, 37; 2014-08-01, 72; 2014-09-01, 72; 2014-10-01, 32; 2014-11-01, 82; 2014-12-01, 78
2014-01-012014-12-01

per month

Valid
2,303 · 100%
Missing
0 · 0%
Distinct
213 · 9.2% 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
2,303 · 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
2,303 · 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
2,303 · 100%
Distinct
0 · 0% of valid

doc_url

string

Main document on EDGAR.

2,302 distinct values, no chart

Valid
2,302 · 100%
Missing
1 · 0%
Distinct
2,302 · 100% of valid

index_url

string

Filing index page on EDGAR.

2,303 distinct values, no chart

Valid
2,303 · 100%
Missing
0 · 0%
Distinct
2,303 · 100% of valid

doc_status

string

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

  • read88%
  • document not read12%
  • index not read0%
Valid
2,303 · 100%
Missing
0 · 0%
Distinct
3 · 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
2,303 · 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
2,303 · 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
2,303 · 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
2,303 · 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
2,303 · 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
2,303 · 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
2,303 · 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
2,303 · 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
2,303 · 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
2,303 · 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
2,303 · 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
2,303 · 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
2,303 · 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
2,303 · 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
2,303 · 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).

  • false94%
  • true6%
Valid
2,033 · 88.3%
Missing
270 · 11.7%
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).

  • false91%
  • true9%
Valid
2,033 · 88.3%
Missing
270 · 11.7%
Distinct
2 · 0.1% of valid

ai_mentions

integer

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

Histogram: 0 to 7, 2,029; 8 to 14, 2; 15 to 22, 0; 23 to 29, 0; 30 to 36, 0; 37 to 44, 0; 45 to 51, 0; 52 to 58, 2
058
Valid
2,033 · 88.3%
Missing
270 · 11.7%
Distinct
11 · 0.5% of valid
Min
0
25%
0
Median
0
75%
0
Max
58

tariff_mentions

integer

Times the report says tariff or tariffs.

Histogram: 0 to 16, 2,013; 17 to 33, 12; 34 to 49, 4; 50 to 66, 2; 67 to 83, 0; 84 to 99, 1; 100 to 116, 0; 117 to 132, 1
0132
Valid
2,033 · 88.3%
Missing
270 · 11.7%
Distinct
33 · 1.6% of valid
Min
0
25%
0
Median
0
75%
1
Max
132

doc_chars

integer

Characters of text in the main document.

Histogram: 9715 to 136434, 155; 136435 to 263153, 521; 263154 to 389873, 803; 389874 to 516592, 394; 516593 to 643312, 112; 643313 to 770031, 33; 770032 to 896751, 13; 896752 to 1023470, 2
97151023470
Valid
2,033 · 88.3%
Missing
270 · 11.7%
Distinct
2,024 · 99.6% of valid
Min
9715
25%
232674
Median
314152
75%
397770
Max
1023470

sections_found

integer

How many standard Items were found in the document.

Histogram: 0 to 1, 309; 2 to 2, 25; 3 to 3, 22; 4 to 4, 47; 5 to 6, 485; 7 to 7, 698; 8 to 8, 713; 9 to 9, 4
09
Valid
2,303 · 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: 710 to 97551, 1,725; 97552 to 194392, 152; 194393 to 291233, 19; 291234 to 388074, 5; 388075 to 484916, 4; 484917 to 581757, 3; 581758 to 678598, 1; 678599 to 775439, 2
710775439
Valid
1,911 · 83%
Missing
392 · 17%
Distinct
1,887 · 98.7% of valid
Min
710
25%
26111
Median
39737
75%
63582
Max
775439

risk_factors_chars

integer

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

Histogram: 515 to 33261, 609; 33262 to 66007, 775; 66008 to 98753, 272; 98754 to 131499, 106; 131500 to 164246, 37; 164247 to 196992, 10; 196993 to 229738, 4; 229739 to 262484, 3
515262484
Valid
1,816 · 78.9%
Missing
487 · 21.1%
Distinct
1,798 · 99% of valid
Min
515
25%
27849
Median
43355
75%
64825
Max
262484

cybersecurity_chars

integer

Characters in Item 1C Cybersecurity.

0 distinct values, no chart

Valid
0 · 0%
Missing
2,303 · 100%
Distinct
0 · 0% of valid

legal_proceedings_chars

integer

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

Histogram: 405 to 21742, 1,121; 21743 to 43079, 11; 43080 to 64417, 3; 64418 to 85754, 0; 85755 to 107091, 0; 107092 to 128429, 1; 128430 to 149766, 0; 149767 to 171103, 1
405171103
Valid
1,137 · 49.4%
Missing
1,166 · 50.6%
Distinct
971 · 85.4% of valid
Min
405
25%
726
Median
1590
75%
3834
Max
171103

mdna_chars

integer

Characters in Item 7 Management's Discussion and Analysis.

Histogram: 403 to 44293, 516; 44294 to 88184, 892; 88185 to 132075, 313; 132076 to 175965, 77; 175966 to 219856, 22; 219857 to 263747, 9; 263748 to 307638, 2; 307639 to 351528, 2
403351528
Valid
1,833 · 79.6%
Missing
470 · 20.4%
Distinct
1,814 · 99% of valid
Min
403
25%
41241
Median
63629
75%
86160
Max
351528

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.

1,827 distinct values, no chart

Valid
1,829 · 79.4%
Missing
474 · 20.6%
Distinct
1,827 · 99.9% 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.

1,317 distinct values, no chart

Valid
1,354 · 58.8%
Missing
949 · 41.2%
Distinct
1,317 · 97.3% of valid

segments

string

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

1,290 distinct values, no chart

Valid
1,306 · 56.7%
Missing
997 · 43.3%
Distinct
1,290 · 98.8% 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.

954 distinct values, no chart

Valid
962 · 41.8%
Missing
1,341 · 58.2%
Distinct
954 · 99.2% 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.

838 distinct values, no chart

Valid
838 · 36.4%
Missing
1,465 · 63.6%
Distinct
838 · 100% of valid

competitors

string

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

1,467 distinct values, no chart

Valid
1,473 · 64%
Missing
830 · 36%
Distinct
1,467 · 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, 201354%
  • June 30, 20144%
  • September 30, 20143%
  • Other (166)
Valid
1,410 · 61.2%
Missing
893 · 38.8%
Distinct
178 · 12.6% 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.

1,012 distinct values, no chart

Valid
1,120 · 48.6%
Missing
1,183 · 51.4%
Distinct
1,012 · 90.4% 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.

1,299 distinct values, no chart

Valid
1,418 · 61.6%
Missing
885 · 38.4%
Distinct
1,299 · 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.

736 distinct values, no chart

Valid
738 · 32%
Missing
1,565 · 68%
Distinct
736 · 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.

634 distinct values, no chart

Valid
637 · 27.7%
Missing
1,666 · 72.3%
Distinct
634 · 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.

470 distinct values, no chart

Valid
470 · 20.4%
Missing
1,833 · 79.6%
Distinct
470 · 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.

1,063 distinct values, no chart

Valid
1,125 · 48.8%
Missing
1,178 · 51.2%
Distinct
1,063 · 94.5% of valid

website

string

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

1,406 distinct values, no chart

Valid
1,435 · 62.3%
Missing
868 · 37.7%
Distinct
1,406 · 98% of valid

employees_text

string

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

1,531 distinct values, no chart

Valid
1,567 · 68%
Missing
736 · 32%
Distinct
1,531 · 97.7% of valid

employees_count

integer

Number of employees parsed from employees_text.

Histogram: 1 to 822000, 1,390; 822001 to 1644000, 0; 1644001 to 2466000, 2; 2466001 to 3288000, 0; 3288001 to 4110000, 0; 4110001 to 4932000, 0; 4932001 to 5754000, 0; 5754001 to 6576000, 1
16576000
Valid
1,393 · 60.5%
Missing
910 · 39.5%
Distinct
964 · 69.2% of valid
Min
1
25%
250
Median
1635
75%
8000
Max
6576000

founded_year

integer

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

Histogram: 1784 to 1812, 4; 1813 to 1841, 6; 1842 to 1870, 19; 1871 to 1899, 59; 1900 to 1928, 110; 1929 to 1957, 142; 1958 to 1986, 462; 1987 to 2014, 763
17842014
Valid
1,565 · 68%
Missing
738 · 32%
Distinct
164 · 10.5% of valid
Min
1784
25%
1965
Median
1986
75%
1998
Max
2014

extraction_model

string

The extraction model pin that answered.

  • mostlyright/nuextract3-web-g-fp8-24086297100%
Valid
1,859 · 80.7%
Missing
444 · 19.3%
Distinct
1 · 0.1% 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.

  • Industrials20%
  • Financials17%
  • Health Care14%
Valid
1,911 · 83%
Missing
392 · 17%
Distinct
12 · 0.6% of valid

sector_confidence

decimal

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

Histogram: 0.2157 to 0.31108750000000002, 22; 0.31108750000000002 to 0.40647500000000003, 53; 0.40647500000000003 to 0.50186249999999999, 143; 0.50186249999999999 to 0.59725000000000006, 177; 0.59725000000000006 to 0.69263750000000002, 194; 0.69263750000000002 to 0.78802499999999998, 211; 0.78802499999999998 to 0.88341250000000004, 392; 0.88341250000000004 to 0.9788, 719
0.21570.9788
Valid
1,911 · 83%
Missing
392 · 17%
Distinct
1,544 · 80.8% of valid
Min
0.2157
25%
0.6414
Median
0.8373
75%
0.9188
Max
0.9788

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 consumers22%
  • consumers11%
Valid
1,911 · 83%
Missing
392 · 17%
Distinct
5 · 0.3% of valid

business_model_confidence

decimal

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

Histogram: 0.25380000000000003 to 0.34450000000000003, 38; 0.34450000000000003 to 0.43520000000000003, 75; 0.43520000000000003 to 0.52590000000000003, 154; 0.52590000000000003 to 0.61660000000000004, 198; 0.61660000000000004 to 0.70730000000000004, 190; 0.70730000000000004 to 0.79800000000000004, 235; 0.79800000000000004 to 0.88870000000000005, 432; 0.88870000000000005 to 0.97940000000000005, 589
0.25380.9794
Valid
1,911 · 83%
Missing
392 · 17%
Distinct
1,555 · 81.4% of valid
Min
0.2538
25%
0.6240
Median
0.8170
75%
0.9061
Max
0.9794

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 contracts17%
  • interest and lending11%
Valid
1,911 · 83%
Missing
392 · 17%
Distinct
11 · 0.6% of valid

revenue_model_confidence

decimal

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

Histogram: 0.2059 to 0.30085000000000001, 42; 0.30085000000000001 to 0.39580000000000004, 121; 0.39580000000000004 to 0.49075000000000002, 169; 0.49075000000000002 to 0.5857, 149; 0.5857 to 0.68064999999999998, 188; 0.68064999999999998 to 0.77560000000000007, 339; 0.77560000000000007 to 0.87055000000000005, 452; 0.87055000000000005 to 0.96550000000000002, 451
0.20590.9655
Valid
1,911 · 83%
Missing
392 · 17%
Distinct
1,582 · 82.8% of valid
Min
0.2059
25%
0.5841
Median
0.7640
75%
0.8650
Max
0.9655

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.

  • none97%
  • peripheral3%
  • significant0%
Valid
1,911 · 83%
Missing
392 · 17%
Distinct
3 · 0.2% of valid

ai_exposure_confidence

decimal

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

Histogram: 0.33260000000000001 to 0.41439999999999999, 6; 0.41439999999999999 to 0.49619999999999997, 22; 0.49619999999999997 to 0.57800000000000007, 39; 0.57800000000000007 to 0.65979999999999994, 33; 0.65979999999999994 to 0.74160000000000004, 40; 0.74160000000000004 to 0.82340000000000002, 62; 0.82340000000000002 to 0.9052, 143; 0.9052 to 0.98699999999999999, 1,566
0.33260.9870
Valid
1,911 · 83%
Missing
392 · 17%
Distinct
872 · 45.6% of valid
Min
0.3326
25%
0.9320
Median
0.9652
75%
0.9737
Max
0.9870

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 company66%
  • bank or lender9%
  • clinical-stage biotech6%
Valid
1,911 · 83%
Missing
392 · 17%
Distinct
10 · 0.5% of valid

company_type_confidence

decimal

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

Histogram: 0.24679999999999999 to 0.33806249999999999, 12; 0.33806249999999999 to 0.42932499999999996, 59; 0.42932499999999996 to 0.52058749999999998, 127; 0.52058749999999998 to 0.61185, 143; 0.61185 to 0.70311250000000003, 224; 0.70311250000000003 to 0.79437499999999994, 439; 0.79437499999999994 to 0.88563749999999997, 572; 0.88563749999999997 to 0.97689999999999999, 335
0.24680.9769
Valid
1,911 · 83%
Missing
392 · 17%
Distinct
1,566 · 81.9% of valid
Min
0.2468
25%
0.6729
Median
0.7854
75%
0.8604
Max
0.9769

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 States56%
  • global40%
  • mostly outside the United States4%
Valid
1,911 · 83%
Missing
392 · 17%
Distinct
4 · 0.2% of valid

geographic_focus_confidence

decimal

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

Histogram: 0.3009 to 0.38603750000000003, 6; 0.38603750000000003 to 0.47117500000000001, 28; 0.47117500000000001 to 0.55631249999999999, 118; 0.55631249999999999 to 0.64145000000000008, 128; 0.64145000000000008 to 0.72658749999999994, 151; 0.72658749999999994 to 0.81172500000000003, 200; 0.81172500000000003 to 0.89686250000000012, 355; 0.89686250000000012 to 0.98199999999999998, 925
0.30090.9820
Valid
1,911 · 83%
Missing
392 · 17%
Distinct
1,414 · 74% of valid
Min
0.3009
25%
0.7479
Median
0.8908
75%
0.9430
Max
0.9820

classification_model

string

The classification model pin that answered.

  • cloudflare/clef-flash-fp8-17f0b0ad100%
Valid
1,911 · 83%
Missing
392 · 17%
Distinct
1 · 0.1% 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 demand23%
  • competition12%
  • Other (3)
Valid
1,816 · 78.9%
Missing
487 · 21.1%
Distinct
15 · 0.8% of valid

top_risk_theme_confidence

decimal

Probability of the top_risk_theme label, 0 to 1.

Histogram: 0.14080000000000001 to 0.2386875, 110; 0.2386875 to 0.33657500000000001, 440; 0.33657500000000001 to 0.43446249999999997, 472; 0.43446249999999997 to 0.53234999999999999, 315; 0.53234999999999999 to 0.63023750000000001, 222; 0.63023750000000001 to 0.72812500000000002, 125; 0.72812500000000002 to 0.82601250000000004, 82; 0.82601250000000004 to 0.92390000000000005, 50
0.14080.9239
Valid
1,816 · 78.9%
Missing
487 · 21.1%
Distinct
1,546 · 85.1% of valid
Min
0.1408
25%
0.3166
Median
0.4092
75%
0.5407
Max
0.9239

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).

  • false67%
  • true33%
Valid
1,816 · 78.9%
Missing
487 · 21.1%
Distinct
2 · 0.1% of valid

tariff_risk_probability

decimal

Probability the classification model gave tariff_risk, 0 to 1.

Histogram: 0.0070000000000000001 to 0.12784999999999999, 1,066; 0.12784999999999999 to 0.2487, 73; 0.2487 to 0.36954999999999999, 45; 0.36954999999999999 to 0.4904, 24; 0.4904 to 0.61124999999999996, 31; 0.61124999999999996 to 0.73209999999999997, 51; 0.73209999999999997 to 0.85294999999999999, 86; 0.85294999999999999 to 0.9738, 440
0.00700.9738
Valid
1,816 · 78.9%
Missing
487 · 21.1%
Distinct
871 · 48% of valid
Min
0.0070
25%
0.0157
Median
0.0481
75%
0.8392
Max
0.9738

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).

  • false100%
Valid
1,816 · 78.9%
Missing
487 · 21.1%
Distinct
1 · 0.1% of valid

ai_risk_probability

decimal

Probability the classification model gave ai_risk, 0 to 1.

Histogram: 0.0068999999999999999 to 0.025937500000000002, 1,763; 0.025937500000000002 to 0.044975000000000001, 43; 0.044975000000000001 to 0.064012500000000014, 4; 0.064012500000000014 to 0.083050000000000013, 2; 0.083050000000000013 to 0.10208750000000001, 0; 0.10208750000000001 to 0.12112500000000002, 0; 0.12112500000000002 to 0.1401625, 2; 0.1401625 to 0.15920000000000001, 2
0.00690.1592
Valid
1,816 · 78.9%
Missing
487 · 21.1%
Distinct
180 · 9.9% of valid
Min
0.0069
25%
0.0112
Median
0.0132
75%
0.0162
Max
0.1592

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).

  • false95%
  • true5%
Valid
1,816 · 78.9%
Missing
487 · 21.1%
Distinct
2 · 0.1% of valid

going_concern_risk_probability

decimal

Probability the classification model gave going_concern_risk, 0 to 1.

Histogram: 0.0077999999999999996 to 0.12855, 1,585; 0.12855 to 0.24929999999999999, 85; 0.24929999999999999 to 0.37004999999999993, 29; 0.37004999999999993 to 0.49079999999999996, 18; 0.49079999999999996 to 0.61155000000000004, 6; 0.61155000000000004 to 0.73229999999999995, 11; 0.73229999999999995 to 0.85304999999999997, 8; 0.85304999999999997 to 0.9738, 74
0.00780.9738
Valid
1,816 · 78.9%
Missing
487 · 21.1%
Distinct
546 · 30.1% of valid
Min
0.0078
25%
0.0148
Median
0.0197
75%
0.0379
Max
0.9738

business_excerpt

string

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

1,909 distinct values, no chart

Valid
1,911 · 83%
Missing
392 · 17%
Distinct
1,909 · 99.9% of valid

search_text

string

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

2,302 distinct values, no chart

Valid
2,303 · 100%
Missing
0 · 0%
Distinct
2,302 · 100% of valid

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