> For the complete documentation index, see [llms.txt](https://docs.coresignal.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.coresignal.com/employee-data/bundles/employer-information.md).

# Employer Information Bundle

Company-level attributes linked to employee experiences, including identity, size, location, revenue, funding, and workforce growth.

The Employer Information bundle contains company-level details for each employee experience. Use these fields to assess an employer's identity, size, location, financial indicators, and workforce growth.

* [Company identity and classification](#company-identity-and-classification)
* [Company size and reach](#company-size-and-reach)
* [Company social links](#company-social-links)
* [Company headquarters](#company-headquarters)
* [Company revenue and funding](#company-revenue-and-funding)
* [Company headcount growth](#company-headcount-growth)
* [Company record metadata](#company-record-metadata)

***

## Company identity and classification

<table><thead><tr><th>Data field</th><th width="130.19921875">Data type</th><th>Description</th><th>Example</th></tr></thead><tbody><tr><td><code>experience[].company_type</code></td><td>String</td><td>Company type</td><td><code>Public Company</code></td></tr><tr><td><code>experience[].company_founded_year</code></td><td>String</td><td>Founding year of the experience company</td><td><code>2010</code></td></tr><tr><td><code>experience[].company_industry</code></td><td>String</td><td>Company's industry</td><td><code>Data Infrastructure and Analytics</code></td></tr><tr><td><code>experience[].company_categories_and_keywords</code></td><td>Array (string)</td><td>Categories and keywords are assigned to the company profile and products across various platforms</td><td><code>["lakehouse",</code><br><code>"data engineering",</code><br><code>"analytics"]</code></td></tr><tr><td><code>experience[].company_is_b2b</code></td><td>Integer</td><td>Indicates whether the company operates in a business-to-business model:<br><code>1</code> – b2b company;<br><code>0</code> – b2c company</td><td><code>1</code></td></tr></tbody></table>

## Company size and reach

<table><thead><tr><th>Data field</th><th width="130.30859375">Data type</th><th>Description</th><th>Example</th></tr></thead><tbody><tr><td><code>experience[].company_employees_count</code></td><td>Integer</td><td>Number of employees that associated their experience with the company</td><td><code>454</code></td></tr><tr><td><code>experience[].company_size_range</code></td><td>String</td><td>Company size based on employee count range (as selected by the company profile administrator)</td><td><code>201-500</code></td></tr><tr><td><code>experience[].company_followers_count</code></td><td>Integer</td><td>Company's profile follower count on professional network</td><td><code>16688</code></td></tr></tbody></table>

## Company social links

<table><thead><tr><th>Data field</th><th width="130.34765625">Data type</th><th>Description</th><th>Example</th></tr></thead><tbody><tr><td><code>experience[].company_facebook_url</code></td><td>Array (string)</td><td>Company's Facebook URL</td><td><code>["https://www.facebook.com/company2global"]</code></td></tr><tr><td><code>experience[].company_twitter_url</code></td><td>Array (string)</td><td>Company's X (Twitter) URL</td><td><code>["https://www.twitter.com/company2global"]</code></td></tr></tbody></table>

## Company headquarters

<table data-search="false"><thead><tr><th>Data field</th><th width="130.18359375">Data type</th><th>Description</th><th>Example</th></tr></thead><tbody><tr><td><code>experience[].company_hq_full_address</code></td><td>String</td><td>Full address of the company's headquarters</td><td><code>123 Science Lane, Data City, California, United States</code></td></tr><tr><td><code>experience[].company_hq_country</code></td><td>String</td><td>The country where the company's headquarters is located</td><td><code>United States</code></td></tr><tr><td><code>experience[].company_hq_regions</code></td><td>Array (string)</td><td>Detailed region where the company's headquarters is located</td><td><code>["Americas",</code><br><code>"Northern America",</code><br><code>"AMER"]</code></td></tr><tr><td><code>experience[].company_hq_country_iso2</code></td><td>String</td><td>ISO 2-letter code of the headquarters country</td><td><code>US</code></td></tr><tr><td><code>experience[].company_hq_country_iso3</code></td><td>String</td><td>ISO 3-letter code of the headquarters country</td><td><code>USA</code></td></tr><tr><td><code>experience[].company_hq_city</code></td><td>String</td><td>Headquarters city</td><td><code>Data City</code></td></tr><tr><td><code>experience[].company_hq_state</code></td><td>String</td><td>Headquarters state</td><td><code>California</code></td></tr><tr><td><code>experience[].company_hq_street</code></td><td>String</td><td>Headquarters street address</td><td><code>123 Science Lane</code></td></tr><tr><td><code>experience[].company_hq_zipcode</code></td><td>String</td><td>Headquarters zip code</td><td><code>92705</code></td></tr></tbody></table>

## Company revenue and funding

<table data-search="false"><thead><tr><th>Data field</th><th width="130.234375">Data type</th><th>Description</th><th>Example</th></tr></thead><tbody><tr><td><code>experience[].company_annual_revenue_source_1</code></td><td>Float (double)</td><td>Company's revenue from a specific source</td><td><code>42000000.0</code></td></tr><tr><td><code>experience[].company_annual_revenue_currency_source_1</code></td><td>String</td><td>Revenue currency</td><td><code>USD</code></td></tr><tr><td><code>experience[].company_annual_revenue_source_5</code></td><td>Integer (long)</td><td>Company's revenue from a specific source</td><td><code>38500000</code></td></tr><tr><td><code>experience[].company_annual_revenue_currency_source_5</code></td><td>String</td><td>Revenue currency</td><td><code>USD</code></td></tr><tr><td><code>experience[].company_last_funding_round_date</code></td><td>Date</td><td>Date when the last funding round was announced, in <code>YYYY-MM-DD</code> format</td><td><code>2025-11-12</code></td></tr><tr><td><code>experience[].company_last_funding_round_amount_raised</code></td><td>Integer (long)</td><td>Amount raised in the last funding round</td><td><code>24000000</code></td></tr><tr><td><code>experience[].company_stock_ticker</code></td><td>Array (struct)</td><td>Company's stock ticker information</td><td><code>[{"exchange": "NYSE", "ticker": "MET"}]</code></td></tr><tr><td><code>experience[].company_stock_ticker[].exchange</code></td><td>String</td><td>Stock exchange</td><td><code>NYSE</code></td></tr><tr><td><code>experience[].company_stock_ticker[].ticker</code></td><td>String</td><td>Stock ticker</td><td><code>MET</code></td></tr></tbody></table>

## Company headcount growth

<table><thead><tr><th>Data field</th><th width="129.6796875">Data type</th><th>Description</th><th>Example</th></tr></thead><tbody><tr><td><code>experience[].company_employees_count_change_yearly_percentage</code></td><td>Float (double)</td><td>Company employee count change (percentage)</td><td><code>8.3066</code></td></tr></tbody></table>

## Company record metadata

<table><thead><tr><th>Data field</th><th width="130.34765625">Data type</th><th>Description</th><th>Example</th></tr></thead><tbody><tr><td><code>experience.company_last_updated_at</code></td><td>String</td><td>The last update date of the record, in <code>YYYY-MM-DD</code> format</td><td><code>2026-09-22</code></td></tr></tbody></table>


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