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Data viewTableSummary
Updated

5.3 MB across 12 parts, newest sealed 1 November 2026 at 04:27 UTC.

The first build wrote 12 parts and 3,246 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.

3,246 distinct values, no chart

Valid
3,246 · 100%
Missing
0 · 0%
Distinct
3,246 · 100% of valid

cik

integer

SEC CIK of the filer.

Histogram: 1750 to 235148, 419; 235149 to 468547, 64; 468548 to 701946, 7; 701947 to 935345, 627; 935346 to 1168744, 486; 1168745 to 1402143, 407; 1402144 to 1635542, 648; 1635543 to 1868941, 588
17501868941
Valid
3,246 · 100%
Missing
0 · 0%
Distinct
3,229 · 99.5% of valid
Min
1750
25%
851205
Median
1176334
75%
1560672
Max
1868941

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, 666; 1060537 to 1325233, 437; 1325234 to 1589929, 713; 1589930 to 1854626, 726; 1854627 to 2119322, 13
17502119322
Valid
3,246 · 100%
Missing
0 · 0%
Distinct
3,229 · 99.5% of valid
Min
1750
25%
851520
Median
1178670
75%
1566044
Max
2119322

ticker

string

Primary ticker, such as AAPL.

3,229 distinct values, no chart

Valid
3,246 · 100%
Missing
0 · 0%
Distinct
3,229 · 99.5% of valid

company_name

string

Company name on the EDGAR index.

3,231 distinct values, no chart

Valid
3,246 · 100%
Missing
0 · 0%
Distinct
3,231 · 99.5% of valid

form

string

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

  • 10-K100%
  • 10-KT0%
Valid
3,246 · 100%
Missing
0 · 0%
Distinct
2 · 0.1% of valid

filed_date

date

Date the report was filed.

Timeline per month: 2021-01-01, 38; 2021-02-01, 1,239; 2021-03-01, 1,348; 2021-04-01, 79; 2021-05-01, 61; 2021-06-01, 58; 2021-07-01, 40; 2021-08-01, 86; 2021-09-01, 85; 2021-10-01, 33; 2021-11-01, 107; 2021-12-01, 72
2021-01-012021-12-01

per month

Valid
3,246 · 100%
Missing
0 · 0%
Distinct
219 · 6.7% of valid

period_of_report

date

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

Timeline per year: 2018-01-01, 1; 2019-01-01, 5; 2020-01-01, 2,438; 2021-01-01, 672
2018-01-012021-01-01

per year

Valid
3,116 · 96%
Missing
130 · 4%
Distinct
64 · 2.1% of valid

fiscal_year

integer

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

Histogram: 2018 to 2018, 1; 2019 to 2019, 10; 2020 to 2020, 2,535; 2021 to 2021, 569
20182021
Valid
3,115 · 96%
Missing
131 · 4%
Distinct
4 · 0.1% of valid
Min
2018
25%
2020
Median
2020
75%
2020
Max
2021

fiscal_year_end

string

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

  • 12-3176%
  • 06-304%
  • 09-303%
  • Other (47)
Valid
3,116 · 96%
Missing
130 · 4%
Distinct
59 · 1.9% of valid

doc_url

string

Main document on EDGAR.

3,246 distinct values, no chart

Valid
3,246 · 100%
Missing
0 · 0%
Distinct
3,246 · 100% of valid

index_url

string

Filing index page on EDGAR.

3,246 distinct values, no chart

Valid
3,246 · 100%
Missing
0 · 0%
Distinct
3,246 · 100% of valid

doc_status

string

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

  • read96%
  • document not read4%
Valid
3,246 · 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
3,246 · 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
3,246 · 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
3,246 · 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
3,246 · 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 filer50%
  • Non-accelerated filer34%
  • Accelerated filer16%
Valid
3,116 · 96%
Missing
130 · 4%
Distinct
3 · 0.1% of valid

shell_company

boolean

True when the cover page checks the shell company box.

  • false97%
  • true3%
Valid
3,116 · 96%
Missing
130 · 4%
Distinct
2 · 0.1% of valid

well_known_seasoned_issuer

boolean

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

  • false50%
  • true50%
Valid
3,116 · 96%
Missing
130 · 4%
Distinct
2 · 0.1% of valid

smaller_reporting_company

boolean

True when the cover page checks smaller reporting company.

  • false64%
  • true36%
Valid
3,115 · 96%
Missing
131 · 4%
Distinct
2 · 0.1% of valid

emerging_growth_company

boolean

True when the cover page checks emerging growth company.

  • false86%
  • true14%
Valid
3,115 · 96%
Missing
131 · 4%
Distinct
2 · 0.1% of valid

icfr_auditor_attestation

boolean

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

  • true78%
  • false22%
Valid
2,330 · 71.8%
Missing
916 · 28.2%
Distinct
2 · 0.1% of valid

public_float_usd

decimal

Market value of shares held by non-affiliates, in US dollars, as tagged on the cover page (dei:EntityPublicFloat, scaled).

Histogram: 0 to 3.2044744825e+17, 3,110; 3.2044744825e+17 to 6.408948965e+17, 0; 6.408948965e+17 to 9.6134234475e+17, 0; 9.6134234475e+17 to 1.281789793e+18, 0; 1.281789793e+18 to 1.6022372412499999e+18, 0; 1.6022372412499999e+18 to 1.9226846895e+18, 0; 1.9226846895e+18 to 2.2431321377500001e+18, 0; 2.2431321377500001e+18 to 2.563579586e+18, 1
02563579586000000000
Valid
3,111 · 95.8%
Missing
135 · 4.2%
Distinct
2,659 · 85.5% of valid
Min
0
25%
110145117
Median
694982670
75%
3951774000
Max
2563579586000000000

shares_outstanding

integer

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

Histogram: 0 to 6594106375000000, 3,114; 6594106375000001 to 13188212750000000, 0; 13188212750000001 to 19782319125000000, 0; 19782319125000001 to 26376425500000000, 0; 26376425500000001 to 32970531875000000, 0; 32970531875000001 to 39564638250000000, 0; 39564638250000001 to 46158744625000000, 0; 46158744625000001 to 52752851000000000, 1
052752851000000000
Valid
3,115 · 96%
Missing
131 · 4%
Distinct
3,085 · 99% of valid
Min
0
25%
21478000
Median
49498676
75%
128970531
Max
52752851000000000

incorporation_code

string

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

  • DE59%
  • MD6%
  • NV4%
  • Other (62)
Valid
2,805 · 86.4%
Missing
441 · 13.6%
Distinct
74 · 2.6% of valid

hq_city

string

City of the principal executive offices, as tagged.

  • New York7%
  • Houston3%
  • Chicago2%
  • Other (875)
Valid
2,612 · 80.5%
Missing
634 · 19.5%
Distinct
887 · 34% of valid

hq_state

string

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

  • CA17%
  • NY10%
  • TX10%
  • Other (43)
Valid
2,554 · 78.7%
Missing
692 · 21.3%
Distinct
55 · 2.2% 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).

  • false93%
  • true7%
Valid
3,131 · 96.5%
Missing
115 · 3.5%
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
3,131 · 96.5%
Missing
115 · 3.5%
Distinct
2 · 0.1% of valid

ai_mentions

integer

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

Histogram: 0 to 116, 3,128; 117 to 232, 2; 233 to 349, 0; 350 to 465, 0; 466 to 582, 0; 583 to 698, 0; 699 to 815, 0; 816 to 931, 1
0931
Valid
3,131 · 96.5%
Missing
115 · 3.5%
Distinct
47 · 1.5% of valid
Min
0
25%
0
Median
0
75%
0
Max
931

tariff_mentions

integer

Times the report says tariff or tariffs.

Histogram: 0 to 13, 2,963; 14 to 26, 134; 27 to 40, 25; 41 to 53, 6; 54 to 67, 2; 68 to 80, 0; 81 to 94, 0; 95 to 107, 1
0107
Valid
3,131 · 96.5%
Missing
115 · 3.5%
Distinct
45 · 1.4% of valid
Min
0
25%
0
Median
1
75%
3
Max
107

doc_chars

integer

Characters of text in the main document.

Histogram: 45 to 129928, 50; 129929 to 259812, 353; 259813 to 389695, 931; 389696 to 519579, 938; 519580 to 649463, 568; 649464 to 779346, 209; 779347 to 909230, 59; 909231 to 1039113, 23
451039113
Valid
3,131 · 96.5%
Missing
115 · 3.5%
Distinct
3,120 · 99.6% of valid
Min
45
25%
320597
Median
416729
75%
535020
Max
1039113

sections_found

integer

How many standard Items were found in the document.

Histogram: 0 to 1, 179; 2 to 2, 59; 3 to 3, 56; 4 to 4, 53; 5 to 6, 840; 7 to 7, 1,210; 8 to 8, 843; 9 to 9, 6
09
Valid
3,246 · 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: 567 to 83452, 2,218; 83453 to 166337, 555; 166338 to 249223, 134; 249224 to 332108, 33; 332109 to 414993, 14; 414994 to 497879, 8; 497880 to 580764, 8; 580765 to 663649, 4
567663649
Valid
2,974 · 91.6%
Missing
272 · 8.4%
Distinct
2,913 · 97.9% of valid
Min
567
25%
32374
Median
50200
75%
84331
Max
663649

risk_factors_chars

integer

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

Histogram: 702 to 45848, 589; 45849 to 90994, 1,212; 90995 to 136141, 450; 136142 to 181287, 322; 181288 to 226434, 132; 226435 to 271580, 85; 271581 to 316727, 31; 316728 to 361873, 9
702361873
Valid
2,830 · 87.2%
Missing
416 · 12.8%
Distinct
2,793 · 98.7% of valid
Min
702
25%
49937
Median
73393
75%
122576
Max
361873

cybersecurity_chars

integer

Characters in Item 1C Cybersecurity.

0 distinct values, no chart

Valid
0 · 0%
Missing
3,246 · 100%
Distinct
0 · 0% of valid

legal_proceedings_chars

integer

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

Histogram: 406 to 28914, 1,499; 28915 to 57423, 3; 57424 to 85931, 1; 85932 to 114440, 1; 114441 to 142949, 1; 142950 to 171457, 1; 171458 to 199966, 0; 199967 to 228474, 1
406228474
Valid
1,507 · 46.4%
Missing
1,739 · 53.6%
Distinct
1,056 · 70.1% of valid
Min
406
25%
615
Median
941
75%
2085
Max
228474

mdna_chars

integer

Characters in Item 7 Management's Discussion and Analysis.

Histogram: 437 to 90120, 2,176; 90121 to 179803, 549; 179804 to 269486, 42; 269487 to 359169, 4; 359170 to 448852, 3; 448853 to 538535, 3; 538536 to 628218, 0; 628219 to 717901, 1
437717901
Valid
2,778 · 85.6%
Missing
468 · 14.4%
Distinct
2,751 · 99% of valid
Min
437
25%
41455
Median
60647
75%
85601
Max
717901

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.

2,834 distinct values, no chart

Valid
2,843 · 87.6%
Missing
403 · 12.4%
Distinct
2,834 · 99.7% 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.

1,982 distinct values, no chart

Valid
2,031 · 62.6%
Missing
1,215 · 37.4%
Distinct
1,982 · 97.6% of valid

segments

string

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

1,904 distinct values, no chart

Valid
1,922 · 59.2%
Missing
1,324 · 40.8%
Distinct
1,904 · 99.1% 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.

1,320 distinct values, no chart

Valid
1,329 · 40.9%
Missing
1,917 · 59.1%
Distinct
1,320 · 99.3% 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.

1,086 distinct values, no chart

Valid
1,088 · 33.5%
Missing
2,158 · 66.5%
Distinct
1,086 · 99.8% of valid

competitors

string

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

2,112 distinct values, no chart

Valid
2,136 · 65.8%
Missing
1,110 · 34.2%
Distinct
2,112 · 98.9% 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, 202060%
  • June 30, 20213%
  • September 30, 20213%
  • Other (189)
Valid
2,020 · 62.2%
Missing
1,226 · 37.8%
Distinct
201 · 10% 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.

1,365 distinct values, no chart

Valid
1,575 · 48.5%
Missing
1,671 · 51.5%
Distinct
1,365 · 86.7% 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.

1,838 distinct values, no chart

Valid
2,048 · 63.1%
Missing
1,198 · 36.9%
Distinct
1,838 · 89.7% of valid

manufacturing

string

How or where products are made: own plants and their locations, or contract manufacturers named, as our extraction model found it verbatim in Item 1 Business.

1,067 distinct values, no chart

Valid
1,070 · 33%
Missing
2,176 · 67%
Distinct
1,067 · 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.

843 distinct values, no chart

Valid
852 · 26.2%
Missing
2,394 · 73.8%
Distinct
843 · 98.9% 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.

411 distinct values, no chart

Valid
412 · 12.7%
Missing
2,834 · 87.3%
Distinct
411 · 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.

1,713 distinct values, no chart

Valid
1,872 · 57.7%
Missing
1,374 · 42.3%
Distinct
1,713 · 91.5% of valid

website

string

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

1,973 distinct values, no chart

Valid
2,015 · 62.1%
Missing
1,231 · 37.9%
Distinct
1,973 · 97.9% of valid

employees_text

string

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

2,164 distinct values, no chart

Valid
2,228 · 68.6%
Missing
1,018 · 31.4%
Distinct
2,164 · 97.1% of valid

employees_count

integer

Number of employees parsed from employees_text.

Histogram: 1 to 11125000, 1,974; 11125001 to 22250000, 2; 22250001 to 33375000, 1; 33375001 to 44500000, 0; 44500001 to 55625000, 0; 55625001 to 66750000, 0; 66750001 to 77875000, 0; 77875001 to 89000000, 1
189000000
Valid
1,978 · 60.9%
Missing
1,268 · 39.1%
Distinct
1,240 · 62.7% of valid
Min
1
25%
270
Median
1750
75%
8200
Max
89000000

founded_year

integer

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

Histogram: 1784 to 1813, 7; 1814 to 1843, 10; 1844 to 1873, 29; 1874 to 1902, 86; 1903 to 1932, 135; 1933 to 1962, 163; 1963 to 1992, 593; 1993 to 2021, 1,035
17842021
Valid
2,058 · 63.4%
Missing
1,188 · 36.6%
Distinct
179 · 8.7% of valid
Min
1784
25%
1969
Median
1993
75%
2006
Max
2021

extraction_model

string

The extraction model pin that answered.

  • mostlyright/nuextract3-web-g-fp8-24086297100%
Valid
2,894 · 89.2%
Missing
352 · 10.8%
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 Care20%
  • Financials17%
  • Industrials16%
Valid
2,974 · 91.6%
Missing
272 · 8.4%
Distinct
12 · 0.4% of valid

sector_confidence

decimal

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

Histogram: 0.22090000000000001 to 0.3157625, 31; 0.3157625 to 0.41062500000000002, 112; 0.41062500000000002 to 0.50548749999999998, 209; 0.50548749999999998 to 0.60035000000000005, 252; 0.60035000000000005 to 0.69521250000000001, 270; 0.69521250000000001 to 0.79007499999999997, 324; 0.79007499999999997 to 0.88493750000000004, 544; 0.88493750000000004 to 0.9798, 1,232
0.22090.9798
Valid
2,974 · 91.6%
Missing
272 · 8.4%
Distinct
2,104 · 70.7% of valid
Min
0.2209
25%
0.6492
Median
0.8480
75%
0.9239
Max
0.9798

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
2,974 · 91.6%
Missing
272 · 8.4%
Distinct
5 · 0.2% of valid

business_model_confidence

decimal

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

Histogram: 0.22239999999999999 to 0.31691249999999999, 119; 0.31691249999999999 to 0.41142499999999999, 142; 0.41142499999999999 to 0.50593749999999993, 228; 0.50593749999999993 to 0.60044999999999993, 272; 0.60044999999999993 to 0.69496249999999993, 303; 0.69496249999999993 to 0.78947499999999993, 385; 0.78947499999999993 to 0.88398749999999993, 609; 0.88398749999999993 to 0.97849999999999993, 916
0.22240.9785
Valid
2,974 · 91.6%
Missing
272 · 8.4%
Distinct
2,257 · 75.9% of valid
Min
0.2224
25%
0.5937
Median
0.7975
75%
0.9009
Max
0.9785

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 sales40%
  • services or contracts14%
  • interest and lending10%
Valid
2,974 · 91.6%
Missing
272 · 8.4%
Distinct
11 · 0.4% of valid

revenue_model_confidence

decimal

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

Histogram: 0.2248 to 0.31745000000000001, 98; 0.31745000000000001 to 0.41010000000000002, 222; 0.41010000000000002 to 0.50275000000000003, 284; 0.50275000000000003 to 0.59539999999999993, 268; 0.59539999999999993 to 0.68805000000000005, 316; 0.68805000000000005 to 0.78069999999999995, 488; 0.78069999999999995 to 0.87334999999999996, 688; 0.87334999999999996 to 0.96599999999999997, 610
0.22480.9660
Valid
2,974 · 91.6%
Missing
272 · 8.4%
Distinct
2,323 · 78.1% of valid
Min
0.2248
25%
0.5511
Median
0.7480
75%
0.8558
Max
0.9660

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.

  • none79%
  • peripheral17%
  • significant4%
Valid
2,974 · 91.6%
Missing
272 · 8.4%
Distinct
4 · 0.1% of valid

ai_exposure_confidence

decimal

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

Histogram: 0.2999 to 0.38587499999999997, 5; 0.38587499999999997 to 0.47184999999999999, 65; 0.47184999999999999 to 0.55782500000000002, 230; 0.55782500000000002 to 0.64379999999999993, 232; 0.64379999999999993 to 0.72977500000000006, 223; 0.72977500000000006 to 0.81574999999999998, 223; 0.81574999999999998 to 0.90172499999999989, 252; 0.90172499999999989 to 0.98770000000000002, 1,744
0.29990.9877
Valid
2,974 · 91.6%
Missing
272 · 8.4%
Distinct
1,682 · 56.6% of valid
Min
0.2999
25%
0.7267
Median
0.9378
75%
0.9679
Max
0.9877

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 company60%
  • clinical-stage biotech11%
  • bank or lender9%
Valid
2,974 · 91.6%
Missing
272 · 8.4%
Distinct
10 · 0.3% of valid

company_type_confidence

decimal

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

Histogram: 0.23749999999999999 to 0.33019999999999999, 14; 0.33019999999999999 to 0.4229, 77; 0.4229 to 0.51560000000000006, 189; 0.51560000000000006 to 0.60830000000000006, 276; 0.60830000000000006 to 0.70100000000000007, 354; 0.70100000000000007 to 0.79370000000000007, 607; 0.79370000000000007 to 0.88640000000000008, 777; 0.88640000000000008 to 0.97910000000000008, 680
0.23750.9791
Valid
2,974 · 91.6%
Missing
272 · 8.4%
Distinct
2,181 · 73.3% of valid
Min
0.2375
25%
0.6594
Median
0.7904
75%
0.8753
Max
0.9791

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%
  • global44%
  • mostly outside the United States3%
Valid
2,974 · 91.6%
Missing
272 · 8.4%
Distinct
4 · 0.1% of valid

geographic_focus_confidence

decimal

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

Histogram: 0.32269999999999999 to 0.40499999999999997, 30; 0.40499999999999997 to 0.48729999999999996, 115; 0.48729999999999996 to 0.5696, 186; 0.5696 to 0.65189999999999992, 206; 0.65189999999999992 to 0.73419999999999996, 211; 0.73419999999999996 to 0.8165, 254; 0.8165 to 0.89879999999999993, 525; 0.89879999999999993 to 0.98109999999999997, 1,447
0.32270.9811
Valid
2,974 · 91.6%
Missing
272 · 8.4%
Distinct
1,927 · 64.8% of valid
Min
0.3227
25%
0.7314
Median
0.8953
75%
0.9441
Max
0.9811

classification_model

string

The classification model pin that answered.

  • cloudflare/clef-flash-fp8-17f0b0ad100%
Valid
2,974 · 91.6%
Missing
272 · 8.4%
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.

  • economy and demand22%
  • regulation and government policy20%
  • liquidity, debt or going concern12%
  • Other (3)
Valid
2,830 · 87.2%
Missing
416 · 12.8%
Distinct
15 · 0.5% of valid

top_risk_theme_confidence

decimal

Probability of the top_risk_theme label, 0 to 1.

Histogram: 0.15640000000000001 to 0.25091249999999998, 256; 0.25091249999999998 to 0.34542499999999998, 813; 0.34542499999999998 to 0.43993749999999998, 678; 0.43993749999999998 to 0.53444999999999998, 439; 0.53444999999999998 to 0.62896249999999998, 296; 0.62896249999999998 to 0.72347499999999998, 196; 0.72347499999999998 to 0.81798749999999998, 106; 0.81798749999999998 to 0.91249999999999998, 46
0.15640.9125
Valid
2,830 · 87.2%
Missing
416 · 12.8%
Distinct
2,152 · 76% of valid
Min
0.1564
25%
0.3053
Median
0.3935
75%
0.5149
Max
0.9125

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).

  • false57%
  • true43%
Valid
2,830 · 87.2%
Missing
416 · 12.8%
Distinct
2 · 0.1% of valid

tariff_risk_probability

decimal

Probability the classification model gave tariff_risk, 0 to 1.

Histogram: 0.0067000000000000002 to 0.12855, 1,449; 0.12855 to 0.25040000000000001, 83; 0.25040000000000001 to 0.37224999999999997, 45; 0.37224999999999997 to 0.49409999999999998, 39; 0.49409999999999998 to 0.61595, 44; 0.61595 to 0.73780000000000001, 54; 0.73780000000000001 to 0.85965000000000003, 136; 0.85965000000000003 to 0.98150000000000004, 980
0.00670.9815
Valid
2,830 · 87.2%
Missing
416 · 12.8%
Distinct
1,068 · 37.7% of valid
Min
0.0067
25%
0.0172
Median
0.1023
75%
0.9395
Max
0.9815

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
2,830 · 87.2%
Missing
416 · 12.8%
Distinct
2 · 0.1% of valid

ai_risk_probability

decimal

Probability the classification model gave ai_risk, 0 to 1.

Histogram: 0.0076 to 0.1252625, 2,728; 0.1252625 to 0.24292499999999997, 21; 0.24292499999999997 to 0.36058749999999995, 16; 0.36058749999999995 to 0.47824999999999995, 17; 0.47824999999999995 to 0.59591249999999996, 7; 0.59591249999999996 to 0.71357499999999996, 17; 0.71357499999999996 to 0.83123749999999996, 14; 0.83123749999999996 to 0.94889999999999997, 10
0.00760.9489
Valid
2,830 · 87.2%
Missing
416 · 12.8%
Distinct
366 · 12.9% of valid
Min
0.0076
25%
0.0129
Median
0.0159
75%
0.0210
Max
0.9489

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
2,830 · 87.2%
Missing
416 · 12.8%
Distinct
2 · 0.1% of valid

going_concern_risk_probability

decimal

Probability the classification model gave going_concern_risk, 0 to 1.

Histogram: 0.0067999999999999996 to 0.12818749999999998, 2,374; 0.12818749999999998 to 0.24957499999999999, 209; 0.24957499999999999 to 0.37096249999999997, 73; 0.37096249999999997 to 0.49234999999999995, 29; 0.49234999999999995 to 0.61373750000000005, 22; 0.61373750000000005 to 0.73512500000000003, 17; 0.73512500000000003 to 0.85651250000000001, 10; 0.85651250000000001 to 0.97789999999999999, 96
0.00680.9779
Valid
2,830 · 87.2%
Missing
416 · 12.8%
Distinct
843 · 29.8% of valid
Min
0.0068
25%
0.0157
Median
0.0248
75%
0.0695
Max
0.9779

business_excerpt

string

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

2,971 distinct values, no chart

Valid
2,974 · 91.6%
Missing
272 · 8.4%
Distinct
2,971 · 99.9% of valid

search_text

string

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

3,243 distinct values, no chart

Valid
3,246 · 100%
Missing
0 · 0%
Distinct
3,243 · 99.9% of valid

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