Data Sources & Methodology: Enhanced UK Financial Data

Companies House Data, Professionally Transformed

DataLedger provides structured, machine-readable UK company financial data extracted directly from Companies House records. Our accountant-verified processing transforms raw filings into comprehensive financial intelligence delivered in spreadsheet or JSON formats.

Our Data Enhancement Process

1. Collection & Extraction

We systematically extract financial records from official Companies House filings, ensuring full coverage of UK registered Ltd companies that submit electronic accounts.

2. Normalisation & Cleaning

We have standardised inconsistent reporting formats into uniform, comparable datasets—making cross-company analysis possible.

3. Enhanced Calculations

We add calculated totals not always available in the original filings, giving you deeper analytical capabilities.

Key data points

Data Point Description Example
Fixed Assets Value of property, plant, and equipment £478,296
Current Assets Cash, inventories, and debtors £235,624
Net Current Assets/Liabilities Current assets minus creditors £-50,860
Total Assets Less Liabilities Total assets minus all liabilities £427,436
Net Assets/Liabilities Value of the company’s equity £427,436
Cash on Hand Cash available in bank accounts £25,763
Inventories Value of stock held £209,861
Debtors Amount owed to the company £10,855
Creditors Amount the company owes (short-term) £-286,484

Why Our Data Exceeds Raw Companies House Records

Verified by Financial Professionals

  • Our calculated fields and financial totals have been verified by accountants

  • Consistent methodology applied across companies of all sizes

Year-on-Year Financial Comparison

  • Current year figures (c_) and previous year figures (p_) clearly labelled

  • Instant visibility of financial trends and performance changes

Structured for Analysis

  • Standardised JSON and spreadsheet formats ready for integration

  • Consistent field naming and data types across all records

  • Machine-readable format optimised for automation

Business Applications of Our Enhanced Financial Data

Lead Generation & Sales

Identify companies matching your ideal customer profile based on precise financial criteria, industry sector, and location.

Risk Assessment

Evaluate liquidity ratios, debt levels, and profitability metrics using verified financial calculations.

Competitor Analysis

Compare financial performance against industry peers with standardised metrics that enable true like-for-like comparison.

Financial Modelling

Import ready-to-use financial data directly into your models without manual cleaning or verification.

Delivery & Implementation

1. Select Your Dataset Parameters

Choose industry sectors, company sizes, geographic regions, or specific financial identifiers.

2. Receive Structured Data

Your custom dataset delivered in Excel/CSV or JSON format within one business day.

3. Integrate with Your Systems

Standardised format allows seamless import into your analytics platforms, CRM, or proprietary systems.

Experience Our Data Quality

Explore our comprehensive financial data structure with a real example.

Sample JSON output

Perfect for developers integrating with APIs or applications.

{
    "number": "01000000",
    "name": "A COMPANY LTD",
    "status": "active",
    "type": "ltd",
    "last_accounts_date": "2023-06-30",
    "incorporation_date": "2022-12-15",
    "created_at": "2024-07-01T13:23:04.987Z",
    "timepoint": 123456789,
    "jurisdiction": "United Kingdom",
    "address_line_1": "123 High Street",
    "address_line_2": "Suite 4B",
    "locality": "London",
    "care_of": "John Doe",
    "postal_code": "E1 4LB",
    "sic_codes": [62012, 73110],
    "metadata": {
      "number": "01000000",
      "name_production_software": "Company Accounts and Tax Online",
      "start_date_for_period_covered_by_report": "2023-04-01",
      "end_date_for_period_covered_by_report": "2024-03-31",
      "balance_sheet_date": "2024-03-31",
      "average_number_employees_during_period": 6,
      "entity_dormant_truefalse": "false",
      "name_entity_officer": "J SMITH",
      "date_authorisation_financial_statements_for_issue": "2024-09-27",
      "description_principal_activities": "The principal activity of the company during the year under review was the retail and hire of menswear.",
      "entity_current_legal_or_registered_name": "A COMPANY LTD"
    },
    "balance_sheet": {
      "number": "01000000",
      "c_fixed_assets": 478296,
      "p_fixed_assets": 482374,
      "c_current_assets": 235624,
      "p_current_assets": 225282,
      "c_net_current_assets_liabilities": -50860,
      "p_net_current_assets_liabilities": -54659,
      "c_total_assets_less_current_liabilities": 427436,
      "p_total_assets_less_current_liabilities": 427715,
      "c_net_assets_liabilities": 427436,
      "p_net_assets_liabilities": 427715,
      "start_date_for_period_covered_by_report": "2023-04-01",
      "end_date_for_period_covered_by_report": "2024-03-31",
      "c_property_plant_equipment": 478296,
      "p_property_plant_equipment": 482374,
      "c_intangible_assets": 0,
      "p_intangible_assets": 0,
      "c_cash_bank_on_hand": 25763,
      "p_cash_bank_on_hand": 10419,
      "c_total_inventories": 209861,
      "p_total_inventories": 204008,
      "c_creditors_current": -286484,
      "p_creditors_current": -279941,
      "c_debtors_current": 10855,
      "c_verified": true,
      "c_calculated_total_fixed_assets": 478296,
      "c_calculated_total_current_assets": 235624,
      "c_calculated_total_assets": 713920,
      "c_calculated_total_liabilities": 286484,
      "c_calculated_equity": 427436,
      "p_verified": true,
      "p_calculated_total_fixed_assets": 482374,
      "p_calculated_total_current_assets": 225282,
      "p_calculated_total_assets": 707656,
      "p_calculated_total_liabilities": 279941,
      "p_calculated_equity": 427715
    },
    "profit_and_loss": {
      "number": "01000000",
      "c_turnover_revenue": 372185,
      "p_turnover_revenue": 395143,
      "c_total_inventories": 209861,
      "p_total_inventories": 204008,
      "c_gross_profit_loss": 278092,
      "p_gross_profit_loss": 279291,
      "c_operating_profit_loss": 39811,
      "p_operating_profit_loss": 33268,
      "c_profit_loss": 39875,
      "p_profit_loss": 33264,
      "start_date_for_period_covered_by_report": "2023-04-01",
      "end_date_for_period_covered_by_report": "2024-03-31"
  }
}