Data Dictionary

Contains explanations and examples for all data fields available in the Craft Companies dataset.

All personal/company information mentioned within this context is entirely fictional and is solely intended for illustrative purposes.

Data points per category

1. Metadata

2. Firmographics

3. Company profile information

4. Tech stack

5. Employee metrics

6. Jobs and salaries

7. Competitors

8. Leadership

9. Financials

10. Website ratings

11. Company ratings

12. Media

13. Pages and URL

The data points in the example snippets have been rearranged for better grouping. To see where a specific data point stands, check the full data sample here.

---

Metadata

Record metadata

Data point	Description	Data type
meta	Contains metadata about the record	Object
created_at_date	Date when the record was initially scraped	Array of numbers
created_at_timestamp	Unix timestamp for when the record was first scraped	Number
updated_at_date	Date when the record was last updated	Array of numbers
updated_at_timestamp	Unix timestamp for when the record was last updated	Number
version_id	Identifier for the dataset version	String
source	Source from which the record was obtained	String
object	Object type	String
is_deleted	Indicates if the record is available on Craft	Boolean

See a snippet of the dataset for reference:

Record metadata

"_meta": {
			"source": "craft",
			"object": "company",
			"created_at_date": [
				2019,
				7,
				8
			],
			"created_at_timestamp": 1562583383.859196,
			"updated_at_date": [
				2024,
				4,
				8
			],
			"updated_at_timestamp": 1712604851.307897,
			"version_id": "af606729",
			"is_deleted": false
		},

---

Profile metadata

Data point	Description	Data type
id	Record identification key in our database	String
source_id	Record identification key in Craft	String

Record metadata

"id": "craft_company_1910683",
"source_id": "1910683",

---

Firmographics

Data point	Description	Data type
company_type	Company type	String
display_name	Display name	String
founded_year	Founding year	String
logo_url	Logo URL	String
long_description	Detailed description of the company	String

See a snippet of the dataset for reference:

Company type

"company_type": "subsidiary",
"founded_year": "1947",
"logo_url": "https://uploads4.craft.co/uploads/company/logo/19106656xx/1910683/normal_5509e3ac0b6655_db60e7.jpg",
"long_description": "TechnoForge Industries specializes in advanced industrial manufacturing, focusing on the production of precision-engineered components. Its product line encompasses high-strength forged parts, custom metal fabrications, and complex assemblies. The company also provides innovative surface treatments, including thermochemical processes, ceramic coatings, and advanced plating techniques. Additionally, TechnoForge offers comprehensive services such as custom design, CNC machining, and supply chain solutions tailored to meet diverse industrial needs.",

Data point	Description	Data type
short_description	Brief description of the company	String
slug	Profile URL slug on Craft	String
status	Current operating status	String

See a snippet of the dataset for reference:

Firmographics

"short_description": "TechnoForge Industries specializes in advanced industrial manufacturing and precision engineering solutions.",
"slug": "technoforge-industries",
"status": "active",

Operating metrics

Data point	Description	Data type
operating_metrics	List of company's operating metrics	Array of objects
id	Record identification key	String
company_specific_kpi	Specific key performance indicator (KPI)	String
footnotes	Additional notes or explanations related to the metric	String
period_display_end_date	Period end display date (e.g., fiscal year or quarter) as seen on Craft	String
period_end_date	Period end date in YYYY-MM-DD format	String (date)
period_type	Period type	String
source_id	Record identification key assigned by Craft	String
source_label	Source title/label	String
source_url	Data source URL	String
unit_type	Unit type used for the metric (e.g., unit, percentage, currency)	String
currency	Currency used for the metric	String
value	Value used for the metric	Float

See a snippet of the dataset for reference:

Operating metrics

"operating_metrics": [
    {
        "id": "fc7b0f8c682d9930cd45098632c4799e570edbc7",
        "company_specific_kpi": "Awards and Recognition",
        "footnotes": "This metric reflects the total number of industry awards and recognitions received by TechnoForge Industries in the specified period, emphasizing the company's commitment to excellence and innovation in industrial manufacturing.",
        "period_display_end_date": "Jun, 2023",
        "period_end_date": "2023-06-14",
        "period_type": "month",
        "source_id": "51bdea7b40c2bcbf19c2ca3328253a7dad16787c",
        "source_label": "TechnoForge Industries (Awards) June 2023",
        "source_url": "https://www.technoforgeindustries.com/about-us/awards",
        "unit_type": "units",
        "currency": null,
        "value": 13
    }
],

Parent company

Data point	Description	Data type
parent_company	Parent company details	Object
id	Record identification key	String
display_name	Display name	String
slug	Profile URL slug	String

See a snippet of the dataset for reference:

Parent company

"parent_company": {
    "id": "73502",
    "display_name": "ForgeGlobal Holdings",
    "slug": "forgeglobal-holdings"
}

Similar companies

Data point	Description	Data type
market_similar_companies	List of similar companies in the market	Array of Objects
id	Record identification key	String
company_type	Company type	String
display_name	Display name	String
employee_growth	Growth rate (employee count increase)	Float
employees_count	Total number of employees	Integer
slug	Company profile URL slug	String

See a snippet of the dataset for reference:

Market similar companies

"market_similar_companies": [
    {
        "id": "9872cc0f3f4fccbd966928fac1092f9f303d00ca",
        "company_type": "private",
        "display_name": "MetaForge Solutions",
        "employee_growth": 0.70281124497992,
        "employees_count": 1003,
        "slug": "metaforge-solutions"
    }
],

Location

Data point	Description	Data type
hq_locations	Company HQ location information (main company address)	Array of objects
id	Location identification key	String
city	Company address (city)	String
country_code	Company address (country code)	String
country_name	Company address (country)	String
state	Company address (state)	String

See a snippet of the dataset for reference:

Location

"hq_locations": [
    {
        "id": "3944594",
        "city": "Pittsburgh",
        "country_code": "US",
        "country_name": "United States",
        "state": "Pennsylvania"
    }
],

Data point	Description	Data type
locations	List of company locations (HQ and satellite)	Array of objects
id	Record identification key	String
address	Company address	String
city	Company address (city)	String
country_code	Company address (country code)	String
country_name	Company address (country)	String
hq	Marks if the address is for the company HQ	Boolean
latitude	Location latitude coordinates	Float
longitude	Location longitude coordinates	Float
state	Company satellite address (state)	String

See a snippet of the dataset for reference:

Location

"locations": [
    {
        "id": "3944594",
        "address": "500 Grant Street",
        "city": "Pittsburgh",
        "country_code": "US",
        "country_name": "United States",
        "hq": true,
        "latitude": 40.438423,
        "longitude": -79.997512,
        "state": "Pennsylvania"
    }
],

Industry

Data point	Description	Data type
industry_tags	Industry tags assigned to the company profile	Array of objects
id	Record identification key	String
name	Industry tag	String
slug	Industry tag URL slug	String

See a snippet of the dataset for reference:

Industry tags

"industry_tags": [
    {
        "id": "07b45d51149bd10e3408c2b2ca1d0851fa775c89",
        "name": "Manufacturing & Industrial",
        "slug": "manufacturing-industrial"
    }
],

---

Company profile information

Other tags

Data point	Description	Data type
not_industry_tags	Various tags assigned to the company profile (not related to the industry)	Array of objects
id	Record identification key	String
name	Tag name	String
slug	Tag URL slug	String

See a snippet of the dataset for reference:

Other tags

"not_industry_tags": [
                {
                    "id": "135a09dcf71fe308d646aea555762ba4686261d0",
                    "name": "coatings",
                    "slug": "coatings"
                }
            ],

Tags

Data point	Description	Data type
tags	Various tags assigned to the company profile	Array of strings

See a snippet of the dataset for reference:

Tags

"tags": [
          "manufacturing-industrial",
          "coatings",
          "mechanical components",
          "metal-products"
            ],

---

---

Tech stack

Data point	Description	Data type
technologies	Company's tech stack	Array of objects
category	Technology category	String
description	Technology description	String
last_updated_at	Last updated timestamp of the technology description in ISO 8601 format	String (date)
name	Technology name	String
url	URL to the article about the technology	String

See a snippet of the dataset for reference:

Technologies

"technologies": [
                  {
                    "category": "CDN",
                    "description": "This page contains links that give the impression that some of the site contents are stored on a content delivery network.",
                    "last_updated_at": "2021-12-27T08:00:00Z",
                    "name": "Content Delivery Network",
                    "url": "http://en.wikipedia.org/wiki/Content_Delivery_Network"
                   }
            ],

---

Employee metrics

Employee counts

Data point	Description	Data type
employees	Employee count fluctuations	Array of objects
id	Record identification key	String
date	Record date in YYYY-MM-DD format	String (date)
employee_number	Total number of employees	Integer
latest_employee_date	Employee count change record date in YYYY-MM-DD format	String (date)
latest_employee_number_growth	Employee count change (from the last recorded count)	Float
latest_employee_number	Latest employee count	Integer

See a snippet of the dataset for reference:

Employees

"employees": [
	{
		"id": "af4a2fd953f02e9126bc72ffd9d36a10b09a2ca3",
		"date": "2022-08-03",
		"employee_number": 800
	},
	{
		"id": "1c72f72b855292075ba334a20290fe09eac39920",
		"date": "2023-06-15",
		"employee_number": 800
	}
],

Ethnicity metrics

Data point	Description	Data type
ethnicity_metrics	Human capital metrics (ethnicity)	Array of objects
name	Ethnicity metric	String
period_display_end_date	Period end display date (e.g., fiscal year or quarter) as seen on Craft	String
period_end_date	Period end date in YYYY-MM-DD format	String (date)
period_type	Period type	String
unit_type	Unit type used for the metric (e.g., unit, percentage, currency)	String
value	Metric value	Float

See a snippet of the dataset for reference:

Ethnicity metrics

"ethnicity_metrics": [
                {
                    "name": "White (USA), percent",
                    "period_display_end_date": "FY, 2020",
                    "period_end_date": "2020-09-30",
                    "period_type": "fiscal_year",
                    "unit_type": "percentage",
                    "value": 77.0
                }
            ],

Gender metrics

Data point	Description	Data type
gender_metrics	Human capital metrics (gender)	Array of objects
name	Gender metric name	String
period_display_end_date	Period end display date (e.g., fiscal year or quarter) as seen on Craft	String
period_end_date	Period end date in YYYY-MM-DD format	String (date)
period_type	Period type	String
unit_type	Unit type used for the metric (e.g., unit, percentage, currency)	String
value	Metric value	Float

See a snippet of the dataset for reference:

Ethnicity metrics

"gender_metrics": [
	{
		"name": "F_emale (Directors and Above), percent",
		"period_display_end_date": "FY, 2020",
		"period_end_date": "2020-12-31",
		"period_type": "fiscal_year",
		"unit_type": "percentage",
		"value": 26.0
	}
]

---

Jobs and salaries

Roles

Data Point	Description	Data Type
roles_metrics	Number of employees in each role	Array of objects
name	Measured role	String
period_display_end_date	Period end display date (e.g., fiscal year or quarter) as seen on Craft	String
period_end_date	Period end date in YYYY-MM-DD format	String (date)
period_type	Period type	String
unit_type	Unit type used for the metric (e.g., unit, percentage, currency)	String
value	Metric value	Float

See a snippet of the dataset for reference:

Roles metrics

"roles_metrics": [
	{
		"name": "Managers",
		"period_display_end_date": "Y, 2017",
		"period_end_date": "2017-12-31",
		"period_type": "year",
		"unit_type": "units",
		"value": 2060
	}
],

Salaries

Data point	Description	Data type
salaries	Salaries by job category	Array of objects
job_category	Job category for the salary metric	String
median_salary	Median salary in the job category	Object
currency	Salary currency	String
value	Median salary in the category	Float

See a snippet of the dataset for reference:

Salaries

"salaries": [
                {
                    "job_category": "Finance",
    "median_salary": {
                        "currency": "$",
                        "value": 95127
                    }
                }
            ],

Company jobs

Data point	Description	Data type
jobs_count	Count of available jobs	Integer
job_categories	Available job categories	Array of objects
category	Job category	String
percentage	Percentage of jobs in the category	Float

See a snippet of the dataset for reference:

Jobs

            "jobs_count": 0,
            "job_categories": [
                {
                    "category": "Technology",
                    "percentage": 100.0
                }
            ],

---

Competitors

Data point	Description	Data type
competitors	Competitor company information	Array of objects
id	Record identification key	String
company_type	Company type	String
display_name	Name	String
logo_url	Logo URL	String
slug	Profile URL slug	String
tags	Assigned tags	Array of strings

See a snippet of the dataset for reference:

Competitors

"competitors": [
                {
                    "id": "462352",
                    "company_type": "private",
                    "display_name": "REM Surface Engineering",
                    "logo_url": "https://uploads2.craft.co/uploads/company/logo/4623xx/462352/normal_dbdea7aea1b4e745.JPEG",
                    "slug": "rem-surface-engineering",
                    "tags": [
                        "manufacturing-industrial",
                        "coatings",
                        "mechanical components",
                        "metal-products"
                    ]
                }
            ],

---

Leadership

Data point	Description	Data type
key_executives	Details on company executives	Array of objects
headshot_url	Headshot URL	String
professional_network	Profile URL on the professional network	String
name	Name	String
title	Job title	String
twitter	Twitter profile URL	String
key_executive_sources	Source from which the leadership information is taken	Array of objects
id	Source identification key	String
label	Source name	String
url	Source URL	String

See a snippet of the dataset for reference:

Leadership

"key_executives": [
                {
                    "headshot_url": "https://key-people-turbo-engine.production.craft.co/photos/1885551513/normal_5d03440ad6f203b4798e7c9c3f156803.jpg",
                    "professional_network": "https://www.professional_network.com/john-doe-0b44834a/",
                    "name": "John Doe",
                    "title": "Managing Director",
                    "twitter": "https://twitter.com/JohnDoeOfficial"
                }
            ],
"key_executive_sources": [
                {
                    "id": "21302f4d9592b3daeddb3ba2b4ec0cf6f91782a3",
                    "label": "technoforge-industries.com",
                    "url": "https://www.technoforge-industries.com/en/company.html"
                }
            ],

---

Financials

Enterprise value

Data point	Description	Data type
ev	Enterprise value details	Object
currency	Enterprise value currency	String
value	Monetary value	Float

See a snippet of the dataset for reference:

Enterprise value

"ev": {
          "currency": "$",
           "value": 361413720
            },

Acquisitions

Data point	Description	Data type
acquisitions	Acquisitions	Array of objects
id	Record identification key	String
date	Acquisition date in YYYY-MM-DD format	String (date)
name	Acquired company	String
slug	Profile URL slug of the acquired company	String
status	Acquisition status	String
currency	Deal currency	String
value	Deal value	Float

See a snippet of the dataset for reference:

acquisitions

"acquisitions": [
            {
                "id": "b82448f3c98890701314a3b2c945e021fa3409cd",
                "date": "2023-04-10",
                "name": "NanoTech Solutions",
                "slug": "nanotech-solutions",
                "status": "completed",
                "currency": "$",
                "value": 3150000000.0
            }
        ],

Annual income statements

Data point	Description	Data type
annual_income_statements	Revenue information for a specific period	Array of objects
id	Record identification key	String
revenue	Revenue amount	Float
currency	Revenue currency	String
period_display_end_date	Period end display date (e.g., fiscal year or quarter) as seen on Craft	String

See a snippet of the dataset for reference:

annual income statements

"annual_income_statements": [
            {
                "id": "32f3243ac13b60cae91328cfcaf9421308c9cea8",
                "revenue": 333836,
                "currency": "$",
                "period_display_end_date": "FY, 2023"
            }
        ],

Balance sheets

Data point	Description	Data type
balance_sheets	Overview of financial metrics, key dates, and other relevant information related to the company's financial status and performance	Array of objects
id	Record identifier	String
accounts_payable	Amount owed to creditors	Float
accounts_receivable	Amount owed by customers	Float
additional_paid_in_capital	Additional capital contributed by shareholders	Float
cash	Cash on hand	Float
common_stock	Common stock value	String
currency	Currency used for financial values	String
current_assets	Current assets value	Float
current_liabilities	Debts and obligations due within a year	Float
debt_to_assets_ratio	Ratio of total debt to total assets	Float
debt_to_equity_ratio	Ratio of total debt to shareholder equity	Float
dividends_payable	Dividends owed to shareholders	Float
financial_leverage	Degree of financial leverage	Float
goodwill	Intangible asset representing excess purchase price over fair market value	Float
inventories	Value of goods held for sale	Float
long_term_debt_current	Current portion of long-term debt	Float
long_term_debt_noncurrent	Long-term debt, excluding the current portion	Float
non_current_liabilities	Debts and obligations due after a year	Float
period_display_end_date	Period end display date (e.g., fiscal year or quarter) as seen on Craft	String
period_end_date	Period end date in YYYY-MM-DD format	String (date)
period_type	Period type	String
ppe	Property, plant, and equipment value	Float
preferred_stock	Preferred stock value	Float
prepaid_expenses	Expenses paid in advance	Float
retained_earnings	Accumulated profits	Float
shares_outstanding	Number of shares issued	Float
source_id	Source identification key	String
source_label	Label assigned to the record	String
source_url	URL linking to the original source document	String
tax_rate	Corporate tax rate	Float
total_assets	Total value of company assets	Float
total_debt	Total amount of debt	Float
total_equity	Total shareholder equity	Float
total_liabilities	Total liabilities of the company	Float

See a snippet of the dataset for reference:

Balance sheets

"balance_sheets": [
            {
                "id": "ca88a1c06f4d532b4126d3ab760bc9d5bab7e158",
                "accounts_payable": 32733,
                "accounts_receivable": 13025,
                "additional_paid_in_capital": 38000,
                "cash": 480968,
                "common_stock": "12240",
                "currency": "$",
                "current_assets": 573506,
                "current_liabilities": 9591000,
                "debt_to_assets_ratio": 0.0004028203218505392,
                "debt_to_equity_ratio": 0.0004534082272390701,
                "dividends_payable": 0.0,
                "financial_leverage": 1.1255842931561453,
                "goodwill": 5095000,
                "inventories": 49922,
                "long_term_debt_current": 58,
                "long_term_debt_noncurrent": 220,
                "non_current_liabilities": 2550000,
                "period_display_end_date": "FY, 2023",
                "period_end_date": "2023-09-30",
                "period_type": "fiscal_year",
                "ppe": 111271,
                "preferred_stock": 1000,
                "prepaid_expenses": 248765,
                "retained_earnings": 55891,
                "total_shares_outstanding": 32000000,
                "source_id": "a3b14915950c5bc5fc13b08ffbbc5d73e6cd4a70",
                "source_label": "Company Filings FY 2023",
                "source_url": "https://uploads5.craft.co/uploads/craft/source/document/17331/67db72c7dcc54f86.pdf",
                "tax_rate": null,
                "total_assets": 690134,
                "total_debt": 278,
                "total_equity": 613134,
                "total_liabilities": 77000
            }
        ]

Cash flow statements

Data point	Description	Data Type
cash_flow_statements	Summary of all cash inflows and outflows over a specific period	Array of objects
id	Record identifier	String
accounts_payable	Money owed by the company to its creditors	Float
accounts_receivable	Money owed to the company by its customers	Float
capex	Capital expenditure	Float
cash_from_financing_activities	Cash generated or spent in financing activities	Float
cash_from_investing_activities	Cash generated or spent in investing activities	Float
cash_from_operating_activities	Cash generated from core business operations	Float
currency	Report currency	String
depreciation_amortization	Depreciation and amortization expenses	Float
dividends_paid	Total dividends paid to shareholders	Float
free_cash_flow	Money left from operating expenses and capital expenditures	Float
income_taxes_paid	Total income taxes paid	Float
interest_paid	Total interest paid on borrowings	Float
inventories	Changes in inventories	Float
long_term_borrowings	Changes in long-term borrowings	Float
net_change_in_cash	Net change in cash and cash equivalents during the period	Float
net_income	Company net income	Float
period_display_end_date	Period end display date (e.g., fiscal year or quarter) as seen on Craft	String
period_end_date	Period end date in YYYY-MM-DD format	String (date)
period_type	Period type	String
purchases_ppe	Purchases of property, plant, and equipment	Float
short_term_borrowings	Short-term borrowings	Float
source_id	Source identification key	String
source_label	Label assigned to the record	String
source_url	URL linking to the original source document	String

See a snippet of the dataset for reference:

Cash flow statements

       "cash_flow_statements": [
            {
                "id": "95f001ddfc6c05274aea940258540097d47b6193",
                "accounts_payable": 7201000,
                "accounts_receivable": 13025,
                "capex": -11293.0,
                "cash_from_financing_activities": -56,
                "cash_from_investing_activities": 4268,
                "cash_from_operating_activities": 55997,
                "currency": "$",
                "depreciation_amortization": 18561,
                "dividends_paid": 7121935,
                "free_cash_flow": 44704.0,
                "income_taxes_paid": 63787347930,
                "interest_paid": 40718,
                "inventories": -1410,
                "long_term_borrowings": -60,
                "net_change_in_cash": 60209,
                "net_income": 55891,
                "period_display_end_date": "FY, 2023",
                "period_end_date": "2023-09-30",
                "period_type": "fiscal_year",
                "purchases_ppe": 38497599450,
                "short_term_borrowings": 690000000,
                "source_id": "a3b14915950c5bc5fc13b08ffbbc5d73e6cd4a70",
                "source_label": "Company Filings FY 2023",
                "source_url": "https://uploads5.craft.co/uploads/craft/source/document/173334431/67db72c7d554455cc54f86.pdf"
            }
        ],

Coin marketcaps

Data point	Description	Data type
coin_marketcaps	Digital asset overview	Array of objects
coin_name	Owned cryptocurrency name	String
coin_symbol	Owned cryptocurrency symbol	String
currency	Evaluation currency	String
date	Date and time of the market cap data retrieval in ISO 8601 format	String (date)
marketcap	Market capitalization value of the cryptocurrency	Number

See a snippet of the dataset for reference:

Coin marketcaps

"coin_marketcaps": [
                {
                    "coin_name": "Ethereum",
                    "coin_symbol": "ETH",
                    "currency": "$",
                    "date": "2023-05-09 12:18:29 UTC",
                    "marketcap": 0.0
                }
            ],

Funding and valuation

Data Point	Description	Data Type
funding_rounds	Various details on funding and valuation	Array of objects
id	Record identifier	String
currency	Funding currency	String
value	Funding round value	Float
investors	Investors that participated in the funding round	Array of strings
private_valuation_comments	Link to a detailed comment or article about the private valuation	String
pre_money_valuation_currency	Pre-money valuation currency	String
pre_money_valuation_value	Value before money was injected in this round	Float
post_money_valuation_currency	Post-money valuation currency	String
post_money_valuation_value	Value after money was injected in this round	Float
private_valuation_source_url	Private valuation data source URL	String
valuation_step_up	Multiplier showing the increase in valuation from pre to post-funding	Float
share_price	Price per share issued in this funding round	Float
shares_issued	Number of shares issued during the funding round	Integer
stage	Funding stage	String
total_shares_outstanding	Total shares outstanding after the funding round	Integer

See a snippet of the dataset for reference:

Funding rounds

"funding_rounds": [
	{
		"id": "65b58fca46c6348d964347f468f898b497531f32",
		"currency": "$",
		"value": 4016432.0,
		"investors": [
			"investor-one",
			"investor-two"
		],
		"private_valuation_comments": "https://www.insights.com/research/example-article/#:~:text=133250-,Spotify%27s%20Daniel%20Ek%20Invests%20%24119M%20Into%20Helsing%2C%20A%20Defense,Real%2DTime%20Picture%20Of%20Battlefields&text=The%20funding%20brings%20Helsing%27s%20valuation%20to%20%24464M.",
		"pre_money_valuation_currency": "\u00a3",
		"pre_money_valuation_value": 12635000.0,
		"post_money_valuation_currency": "\u00a3",
		"post_money_valuation_value": 37900000.0,
		"private_valuation_source_url": "https://www.contxto.com/en/brazil/example-article/",
		"valuation_step_up": 2.999604273842501,
		"share_price": 0.1586,
		"shares_issued": 19180670,
		"stage": "Series D",
		"total_shares_outstanding": 32000000
	}
]

Income statements

Data point	Description	Data Type
income_statements	Income statement details	Array of objects
id	Record identification key	String
cost_of_goods_sold	Total cost of goods sold by the company	Float
currency	Currency in which the financial data is reported	String
depreciation_mortization	Value of business assets over time	Float
ebit	Earnings before interest and taxes	Float
ebitda	Earnings before interest, taxes, depreciation, and amortization	Float
ebitda_margin	EBITDA divided by total revenue	Float
ebit_margin	EBIT divided by total revenue	Float
general_administrative_expense	Expenses related to general administrative activities	Float
gross_bookings	Total amount of revenue generated before any deductions	Float
gross_profit	Profit after expenses related to manufacturing and selling its products or services	Float
gross_profit_margin	Gross profit divided by revenue	Float
income_tax_expense	Expense on income tax	Float
interest_expense	Total interest expense	Float
interest_income	Income from interest	Float
investment_income	Income from investments	Float
is_estimated	Indicates if the data is an estimate	Boolean
net_income	Total net income	Float
net_interest_expense	Net expense after subtracting interest income	Float
eps	Earnings per share	Float
period_display_end_date	Period end display date (e.g., fiscal year or quarter) as seen on Craft	String
period_end_date	Period end date in YYYY-MM-DD format	String (date)
period_type	Period type	String
pre_tax_profit	Profit before tax	Float
research_development_expense	Expenses on research and development activities	Float
revenue	Total revenue earned by the company	Float
revenue_growth	Growth rate in revenue	Float
sales_marketing_expense	Expenses on sales and marketing activities	Float
source_id	Source identification key	String
source_label	Label assigned to the record	String
source_url	URL linking to the original source document	String
total_operating_expense	Total expenses related to operations	Float

See a snippet of the dataset for reference:

Income statements

   "income_statements": [
            {
                "id": "32f3243ac13b60cae91328cfcaf9421308c9cea8",
                "cost_of_goods_sold": 187884,
                "currency": "$",
                "depreciation_mortization": 18561,
                "ebit": 673028000,
                "ebitda": 785395000,
                "ebitda_margin": 0.23780319797984079,
                "ebit_margin": 0.20378053174514263,
                "general_administrative_expense": 77022,
                "gross_bookings": 2307000000,
                "gross_profit": 145952,
                "gross_profit_margin": 0.43719670736529315,
                "income_tax_expense": 15625,
                "interest_expense": 76,
                "interest_income": 15920,
                "investment_income": 228000000,
                "is_estimated": false,
                "net_income": 55891,
                "net_interest_expense": null,
                "eps": 7.52,
                "period_display_end_date": "FY, 2023",
                "period_end_date": "2023-09-30",
                "period_type": "fiscal_year",
                "pre_tax_profit": 71516,
                "research_development_expense": 2589000,
                "revenue": 333836,
                "revenue_growth": 0.10770647094038163,
                "sales_marketing_expense": 27049244,
                "source_id": "a3b14915950c5bc5fc13b08ffbbc5d73e6cd4a70",
                "source_label": "Company Filings FY 2019",
                "source_url": "https://uploads5.craft.co/uploads/craft/source/document/17331/67db72c7dcc54f86.pdf",
                "total_operating_expense": 104162
            }
        ],

Revenue statements

Data point	Description	Data type
quarterly_income_statements_with_revenue	Quarterly income statements	Array of objects
id	Record identifer	String
revenue	Revenue value	Integer
currency	Income currency	String
period_display_end_date	Period end display date (e.g., fiscal year or quarter) as seen on Craft	String

See a snippet of the dataset for reference:

Revenue statements

"quarterly_income_statements_with_revenue": [
            {
                "id": "480fe345454e6af09d4b595f18a64ea63d9db79c",
                "revenue": 48860000,
                "currency": "$",
                "period_display_end_date": "Q2, 2023"
            }
        ],

Ratios

Data Point	Description	Data Type
ratios	Different financial ratios	Array of objects
debt_to_assets_ratio	Ratio of total debt to total assets	Float
debt_to_equity_ratio	Ratio of total debt to total equity	Float
ev_cfo	Enterprise value to cash flow from operations ratio	Float
ev_ebit	Enterprise value to earnings before earnings and taxes	Float
ev_ebitda	Enterprise value to earnings before interest, taxes, depreciation, and amortization	Float
ev_fcf	Enterprise value to free cash flow ratio	Float
financial_leverage	Financial leverage ratio	Float
pe	Price-to-earnings ratio	Float
period_display_end_date	Period end display date (e.g., fiscal year or quarter) as seen on Craft	String
period_end_date	Period end date in YYYY-MM-DD format	String (date)
period_type	Period type	String
revenue_per_employee	Revenue generated per employee	Float

See a snippet of the dataset for reference:

Ratios

"ratios": [
	{
		"debt_to_assets_ratio": 0.0,
		"debt_to_equity_ratio": 0.0,
		"ev_cfo": -190.63663073852297,
		"ev_ebit": 202.13534814814815,
		"ev_ebitda": -192.36445518630413,
		"ev_fcf": -12.07391854249695,
		"financial_leverage": 5.569879230258793,
		"pe": 66.27027150746937,
		"period_display_end_date": "Q2, 2024",
		"period_end_date": "2024-06-30",
		"period_type": "q2",
		"revenue_per_employee": 886812.4867275431
	}
],

Revenue breakdowns

Data point	Description	Data type
revenue_breakdowns	Breakdown of company revenue by segment or category, detailing different revenue sources	Array of objects
period_display_end_date	Period end display date (e.g., fiscal year or quarter) as seen on Craft	String
period_type	Period type	String
values	Values representing revenue breakdown	Array of objects
currency	Revenue currency	String
segment_category	Segment category	String
segment_name	Segment title	String
unit_type	Unit type used for the metric (e.g., unit, percentage, currency)	String
value	Revenue value	Integer

See a snippet of the dataset for reference:

Revenue breakdowns

"revenue_breakdowns": [
    {
        "period_display_end_date": "FY, 2019",
        "period_type": "fiscal_year",
        "values": [
            {
                "currency": "$",
                "segment_category": "Business Segment",
                "segment_name": "Precision Engineering Components",
                "unit_type": "currency",
                "value": 19243000
            },
            {
                "currency": "$",
                "segment_category": "Business Segment",
                "segment_name": "Advanced Material Technologies",
                "unit_type": "currency",
                "value": 10450000
            }
        ]
    }
]

Stocks

Data point	Description	Data type
stocks_summaries	Stock-related information	Array of objects
id	Record identifer	String
closing_price	Closing price of the stock on the given date	Float
currency	Stock currency	String
date	Stock summary date inYYYY-MM-DD format	String (date)
marketcap	Market capitalization of the stock	Float
stock_summaries_with_closing_price	Stock-related information with closing price	Array of Objects
id	Record identifier key	String
closing_price	Stock closing price	Float
currency	Stock currency	String
date	Stock summary date in YYYY-MM-DD format	String (date)
stock_ticker	Stock ticker	String

See a snippet of the dataset for reference:

Stocks

"stocks_summaries": [
            {
                "id": "ede10f73638da0b55a1763bae718148c9dda4df8",
                "closing_price": 1283.0,
                "currency": "$",
                "date": "2023-07-19",
                "marketcap": 70135717888
            }
        ],
"stock_summaries_with_closing_price": [
            {
                "id": "ede10f73638da0b55a1763bae718148c9dda4df8",
                "closing_price": 1283.0,
                "currency": "$",
                "date": "2023-07-19"
            }
        ],
"stock_ticker": "TFGI.NASDAQ",

Total funding

Data point	Description	Data type
total_funding	Total funding amount	Object
currency	Funding currency	String
value	Funding value	Float

See a snippet of the dataset for reference:

Total funding

 "total_funding": {
                "currency": "$",
                "value": 0
            },

Investors

Data point	Description	Data type
investors	List of company investors	Array of strings

See a snippet of the dataset for reference:

Company investors

"investors": [
                    "investor-one",
                    "investor-two"
                ],

---

Website ratings

Awis metrics

Data Point	Description	Data Type
awis_website_metrics	Website performance metrics	Array of objects
date	Record date in YYYY-MM-DD format	String (date)
page_views_per_million	Number of page views per million visitors	Integer
page_views_per_user	Average number of page views per user	Float
rank	Ranking of the website based on traffic	Integer
reach	Unique visitor count	Integer

See a snippet of the dataset for reference:

Awis website metrics

"awis_website_metrics": [
                {
                    "date": "2022-10-01",
                    "page_views_per_million": 0,
                    "page_views_per_user": 10.0,
                    "rank": 369523,
                    "reach": 2
                }
            ],

Website traffic

Data point	Description	Data type
website_traffic	Website traffic metrics	Array of objects
date	Date the traffic was recorded in YYYY-MM-DD format	String (date)
visits	Number of visits to the website on the specified date	Integer

See a snippet of the dataset for reference:

Website traffic

            "website_traffic": [
                {
                    "date": "2017-08-01",
                    "visits": 26147
                }
            ],

---

Company ratings

Security ratings

Data point	Description	Data type
security_ratings	Cybersecurity ratings for the company, provided by Craft and SecurityScorecard	Array of objects
grade	Cyber security grade given to the company	String
score	Cyber security score given to the company	Integer

See a snippet of the dataset for reference:

Security ratings

"security_ratings": [
	{
		"grade": "A",
		"score": 91
	},
	{
		"grade": "A",
		"score": 92
	},
	{
		"grade": "A",
		"score": 92
	}
],

Sustainability

Data point	Description	Data type
sustainability_rating_overall	Overall sustainability rating of the company	Float
sustainability_rating_profile_url	URL for accessing CSR and sustainability information	String

See a snippet of the dataset for reference:

Sustainability

"sustainability_rating_overall": 44.0253,
"sustainability_rating_profile_url": "http://www.csrhub.com/CSR_and_sustainability_information/techno-forge-industries",

Culture and compensation

Data point	Description	Data type
culture_and_compensation_ratings	Culture and compensation ratings	Array
company_name	Company name	String
rating_date	Date the rating was recorded in ISO 8601 format	String (date)
ratings	Rating details, including grade, name, total score, and type	Array of objects
grade	Rating grade	String
name	Rating	String
total_score	Total score of the rating	Integer
type	Rating type	String

See a snippet of the dataset for reference:

Culture and compensation ratings

"culture_and_compensation_ratings": [
            {
                "company_name": "TechnoForge Industries",
                "rating_date": "2023-02-26T04:49:33.871105+00:00",
                "ratings": [
                    {
                        "grade": "A",
                        "name": "Outlook",
                        "total_score": 90,
                        "type": "sentiment"
                    }
                ]
            }
        ],

---

Media

Blogs

Data point	Description	Data type
blogs	Snippets from the company blog	Array of objects
headline	Blog post title	String
published_at	Publish date in YYYY-MM-DD format	String (date)
summary	Blog post summary	String
url	Direct URL to the blog post	String

See a snippet of the dataset for reference:

Blogs

"blogs": [
            {
                "headline": "TechnoForge Industries Selects SyncLogix’s Supply Chain Management Platform to Enhance Distribution Efficiency",
                "published_at": "2023-02-23",
                "summary": "SyncLogix, a leader in supply chain management solutions, announced today that leading Czech manufacturing company, TechnoForge Industries, has partnered with SyncLogix to improve their logistics and distribution processes. \nThe post TechnoForge Industries Selects SyncLogix’s Supply Chain Management Platform to Enhance Distribution Efficiency appeared first on SyncLogix.",
                "url": "www.example-company.com"
            }
        ],

News

Data point	Description	Data type
news	News articles related to the company	Array of objects
headline	Article headline	String
image_url	Article image URL	String
summary	Article summary	String
published_at	Article publish date in YYYY-MM-DD format	String (date)
url	URL to the full article	String

See a snippet of the dataset for reference:

News

"news": [
    {
        "headline": "TechnoForge Industries' New Alloy Blend Revolutionizes the Aerospace Sector",
        "image_url": "https://images.technoforgeindustries.com/press/new-alloy-reveal.jpg",
        "summary": "TechnoForge Industries, a leader in metallurgical innovations, announces its latest breakthrough in material science—a new alloy blend designed to enhance the durability and performance of aerospace components. This new development underscores TechnoForge's commitment to 'Innovating for a Stronger Tomorrow' by pushing the boundaries of technology and performance.",
        "published_at": "2022-07-27",
        "url": "https://www.technoforgeindustries.com/news/new-alloy-aerospace"
    }
],

---

Pages and URLs

Company media

Various URLs collected from different parts of the dataset.

Data point	Description	Data type
careers_page	Careers page URL	String
financial_website	Financial website profile URL	String
facebook	Facebook profile URL	String
domain	Website domain assigned to the company	String
instagram	Instagram profile URL	String
professional_network	Professional network profile URL	String
twitter	Twitter profile URL	String
url	Website URL	String
youtube	Youtube profile URL	String

See a snippet of the dataset for reference:

careers page

"careers_page": "https://www.technoforge-industries.com/careers",
"facebook": "https://www.facebook.com/TechnoForgeIndustries",
"instagram": "https://www.instagram.com/TechnoForgeIndustries/",
"twitter": "https://twitter.com/TechnoForgeInd",
"url": "https://www.technoforge-industries.com",
"youtube": "https://www.youtube.com/TechnoForgeIndustries",
"financial_website": "https://www.financial-website.com/organization/technoforge-industries",
"domain": "https://www.technoforge-industries.com",

Pages in Craft

Data point	Description	Data type
existing_pages	Status of different informational pages available on the company profile	Object
locations	Location page visible in the company profile	Boolean
executives	Executives page visible in the company profile	Boolean
competitors	Competitors page visible in company profile	Boolean
revenue	Revenue page visible in the company profile	Boolean
fundings	Fundings page visible in the company profile	Boolean
metrics	Metrics page visible in the company profile	Boolean

See a snippet of the dataset for reference:

Existing pages

"existing_pages": {
                "locations": true,
                "executives": false,
                "competitors": true,
                "revenue": true,
                "fundings": false,
                "metrics": true
            },