The tax defaulter dataset is a comprehensive registry of companies that have failed to meet their tax obligations, providing critical intelligence on corporate tax compliance failures. This dataset serves as an essential risk assessment tool for identifying entities with a history of tax non-compliance and understanding the financial scope of their defaults.

Purpose & Use Cases

This dataset enables organisations to:

• Credit Risk Assessment: Evaluate the financial reliability and tax compliance history of potential borrowers or business partners
• Supplier Due Diligence: Screen vendors and contractors for tax compliance issues that could indicate broader financial instability
• Investment Risk Analysis: Assess tax-related risks when evaluating investment opportunities or acquisition targets
• Regulatory Compliance: Monitor business relationships with tax-defaulting entities for compliance reporting requirements
• Financial Health Monitoring: Track companies’ tax payment patterns as an indicator of overall financial distress

Data Coverage

The dataset captures detailed information about companies that have:

• Failed to pay required taxes within specified timeframes
• Accumulated significant tax debts with associated penalties
• Been formally identified by tax authorities as tax defaulters
• Experienced extended periods of tax non-compliance

Dataset Overview

There are a couple of reasons for the April 2020 spike:

• HMRC had been steadily processing older cases, and Aprils publication included a relatively big tranche of concluded investigations, creating the impression of a surge.
• At the start of COVID-19, the government was in the process of rolling out massive financial support schemes (furlough, VAT deferrals, loans). Publishing a large list of tax defaulters was a way for HMRC to signal that compliance still mattered and that fraud or evasion would not be tolerated, despite emergency support being given out.

Dataset Key Features

• Comprehensive Financial Detail: High-precision tracking of both tax amounts owed and penalty charges, supporting accurate financial risk assessment
• Default Period Analysis: Complete timeline tracking from the start to end of default periods, enabling trend analysis and recovery monitoring
• Business Context: Industry and trade classification helps identify sector-specific tax compliance patterns
• Monetary Precision: Advanced decimal formatting (38 digits with 18 decimal places) ensures accurate representation of large financial amounts

Financial Intelligence

The dataset provides granular financial data including:

• Total Tax Liability: Exact amounts of unpaid taxes
• Penalty Assessment: Additional charges and interest accumulated
• Default Duration: Length of non-compliance periods indicating severity of financial distress

Data Quality & Integration

• Advanced Company Matching: Sophisticated algorithms with confidence scoring ensure accurate company identification linked to registerd company number
• Cross-Dataset Linking: Seamless integration with other corporate datasets through standardised company numbers
• Regular Updates: Maintained in alignment with tax authority publication schedules

Strategic Value

As part of the broader Doorda risk intelligence ecosystem, this dataset provides crucial insights into corporate financial stability and regulatory compliance, helping organisations make informed decisions about business relationships and identify potential financial risks before they impact operations.

See the data for yourself. Book a quick demo with our team today and discover how Doorda AI can help you uncover opportunities, manage risk, and make informed decisions with confidence.