Field guides / data analysis
CORPORATE GROUP RESEARCH

What a company-group sample actually contains.

The supplied Alphabet file contains 483 records across 65 countries. Those records include branches and head offices. The distinction matters when building an enterprise account map.

483 rows. 483 distinct record identifiers.

This is a static file already used in EntityReach’s public group demonstration. It is not a live ownership report or a claim that Alphabet has 483 separate subsidiaries. The sample contains the following supplied record classifications.

Record types in the supplied file
Supplied classificationRecords
SingleLocation224
Branch180
HQ79

A branch generally represents an establishment of an existing company. A head-office record and a single-location record still need legal-identity and agreement checks before they become independent account candidates.

The largest country counts in this sample.

These counts use the supplied country-code field and count rows, including branch records. They describe this file, not EntityReach’s overall country coverage or Alphabet’s current operating footprint.

Top ten country codes by supplied record count
CountryCodeRecords
United StatesUS141
IndiaIN73
IrelandIE26
United KingdomGB20
CanadaCA15
SingaporeSG14
ChinaCN11
FranceFR10
NorwayNO10
ItalyIT8

Presence of a field is one part of the evaluation.

A populated identifier or website can support research, but it does not establish that an identity is resolved, a relationship is verified, or the field is available for every company through every product endpoint. A national identifier can be a tax identifier rather than a registration number.

Non-empty fields across 483 supplied rows
FieldPopulated records
Legal/company name483 / 483
Country code483 / 483
National identifier347 / 483
Parent record identifier483 / 483
Website field167 / 483

Use this check to decide what needs validation in a representative portfolio test. Keep field availability separate from company match rates and verified legal-entity coverage.

Reproduce the counts and retain the limits.

  1. Count each supplied row once.
  2. Count distinct non-empty gdb_id values separately.
  3. Count distinct non-empty country_code values.
  4. Use the supplied status_code_desc for record type, without converting branches into subsidiaries.
  5. Field availability means a non-empty field, not independent verification or guaranteed API availability.

The analysis date is 2026-10-06. The supplied file does not include a retrieval date, so the analysis date must not be treated as the date the ownership information was verified.

  • There is no source retrieval date in this file; analysed_on is the analysis date.
  • A record is not necessarily a separate legal company, subsidiary or independent buyer.
  • This is one group sample, not a benchmark of worldwide coverage.
  • Relationships, commercial need and agreement coverage require separate review.

Download the supplied JSON file · Download the analysis and method

Source SHA-256: 7a71d9e58998e6dd8afcb39cc2920b47e4e453a1cbb6d4406eb65878427715db

For an enterprise evaluation, choose known customers in your markets and record expected legal entities independently. Compare the returned structure with CRM identity, contract scope and operating fit before counting expansion opportunities.

Read the corporate group data methodology · Inspect country coverage

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