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Overview

The Data City flags companies that are likely special purpose vehicles (SPVs) on UK company records. The result appears as the boolean field IsLikelySPV. This page explains what we mean by an SPV, how the flag is produced at a high level, and how you should use it in analysis. For the field definition, see IsLikelySPV in the data dictionary.
This is an operational definition, not a legal or accounting classification. Use IsLikelySPV to improve economic analysis — for example when adjusting employee or turnover totals — not as a definitive statement about a company’s legal status.

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What we mean by an SPV

An SPV is a UK-registered company whose primary role is to hold assets, pass through financing, or sit within a corporate group — not to employ staff and conduct ordinary commercial operations in its own right. Such companies are often created to:
  • Isolate risk or ring-fence property or debt
  • Facilitate securitisation or private-equity structures
  • Act as intermediate holding entities
They may file accounts and have directors, but their economic footprint in terms of employees and turnover is often minimal, absent, or atypical over long periods. They frequently appear alongside related companies in wider corporate structures. In practice, we treat a company as an SPV when it looks structurally like a vehicle — in its role within a group and its governance — and behaves financially like a non-trading or dormant entity, while often still holding balance-sheet assets.

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How we identify likely SPVs

We use a machine-learning model trained on verified examples and applied to UK company-register data, enriched with The Data City’s proprietary company dataset. The model does not rely on a single rule. It weighs several types of evidence together, in much the same way an analyst would review a company from multiple angles:

Structural signals

How the company sits within a corporate group, its governance, and characteristics of its registered identity.

Activity signals

Patterns in reported employees, turnover, and filing history over time — including long periods of little or no trading activity.

Balance-sheet signals

Whether the company holds assets or financing on its balance sheet despite limited operating activity.

Operating identity

Whether the company appears to operate as a distinct trading brand rather than a passive structural entity.
Companies that align across these dimensions are more likely to receive IsLikelySPV = true. Companies with sustained trading activity, meaningful employment, and the profile of an independent operating business are less likely to be flagged. After scoring, we apply additional quality checks — including rules that distinguish passive structural vehicles from legitimate group-head or holding companies with real economic activity. These checks reduce false positives among active parent entities without treating every ultimate parent as an operating business. The field is refreshed quarterly as part of our standard data updates.
IsLikelySPV is a probabilistic estimate, not ground truth. Borderline cases exist, and the flag should be interpreted alongside other company attributes — especially group structure, financials, and sector context.
Specific model design, training data, scoring thresholds, and post-processing rules are proprietary to The Data City and are not published in full.

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What the flag means

A false value does not guarantee that a company is an active trading business. A true value does not mean the company has no legitimate purpose within a group structure.

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How to use it

Common applications include:
  • Excluding structural vehicles from sector counts, growth analysis, or employment totals where SPVs would distort the picture
  • Identifying project- or asset-specific entities within a wider corporate network
  • Cleaning company lists before delivery or downstream modelling
Filter or export on IsLikelySPV when you need to separate likely operating businesses from likely structural vehicles. Combine the flag with other filters — such as company category, group structure, and financial estimates — for more precise results.

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Limitations

  • The flag reflects patterns observed in UK register and platform data at the time of model training. Unusual corporate structures or recently changed companies may be misclassified.
  • Coverage and accuracy depend on the quality of filed accounts and group-relationship data available for each company.
  • Some legitimate holding companies and group parents can resemble SPVs on register data alone; our post-processing reduces but does not eliminate these edge cases.
  • The flag is intended for population-level analysis. For individual companies where the classification matters materially, review the underlying filings and group context.
Last modified on September 22, 2026