Janet Esther Herron v Commissioners for Her Majesty's Revenue and Customs

Decision date: 22 March 2011

Neutral citation: [2011] UKFTT 197 (TC)

Overall AI summary confidence: high

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Short overview

This short overview is intended to summarise the case, issues and outcome so far as they are supported by the judgment.

AI confidence in this short overview: high

This appeal concerned HMRC assessments for unpaid hydrocarbon oil duty after a fuel "pod" was found in a van; the appellants failed to provide full vehicle and fuel records requested in a Notice of Seizure. The Tribunal upheld a smaller best‑judgment assessment of £1,823, and reduced a larger £13,024 assessment by 25% (to £9,768) to allow limited credit for occasions where multiple vehicles may have refuelled together, dismissing the appeal otherwise.

Ratio decidendi

This summary is intended to identify the ratio decidendi, meaning the legal reasons for deciding and the binding part of the decision.

AI confidence in this ratio decidendi summary: medium

Where a taxpayer does not produce the detailed records specifically requested by a seizure/notice, Commissioners are entitled to make best‑judgment assessments based on the available empirical data; such assessments will be upheld if they are reasonable in light of the missing records and the evidence. Late documentary material of uncertain provenance and unsupported by attending witnesses may be given little or no weight when challenging such assessments.

Obiter dicta

This summary is intended to identify obiter dicta, meaning observations made by the way that were not necessary to deciding the case and are not binding.

AI confidence in this obiter dicta summary: medium

The Tribunal expressed that its primary task is to ascertain the correct amount of duty from the material available rather than to undertake broad collateral attacks on the Commissioners' exercise of judgment; credibility findings (demeanour and inconsistent accounts) materially affect the weight to be given to explanations offered for anomalous transaction patterns.