This disclosure asks an organisation to be transparent when it has changed information it reported previously. If a figure, description, or boundary has been corrected or updated, the organisation should say what was restated and why, so readers can understand that the current report is not directly comparable with the earlier version without that explanation.
The practical focus is on clarity and consistency across reporting periods. The organisation should help users see whether the restatement affects only a small part of the information or changes the picture more broadly across the reporting boundary, rather than leaving readers to assume that all reported data are unchanged from one year to the next.
This LRA educational guidance supports disclosure preparation. For the exact requirements, always refer to the official GRI source.
A quick mental checklist before you prepare this disclosure — tick each as you settle it.
Key datapoints to prepare
How to prepare it
Request prior-period adjustment log and explanations
Translate the disclosure into an internal business question — then adapt it to your organisation's own language.
Use your organisation’s own wording first, then map it to this disclosure. For example, ask for prior-period adjustments, reclassifications, corrections, or revised figures if those are the terms your teams use. Keep the request in business language and check the source material before sign-off.
Please provide the GRI 2-4 restatements disclosure data.
Why it fails: This uses framework language only and does not tell the owner what practical records to pull, which period to cover, or what details are needed to explain the change and its effect.
Please send the list of any prior-period updates to reported figures or narrative, with the reason for each update, the effect on the reported output, and the source record or version reference for each item.
Notes that turn data into a disclosure
LRA training templates — adapt them to your organisation, and check the official source before sign-off.
State which earlier reporting periods were updated, explain the basis used to identify those revisions, and describe the approach taken to calculate their impact.
Explain what the revised figures mean for the reported story, including how the updates change the reader’s understanding of the earlier periods.
If any revision is material or unusual, note what drove it and whether the effect was to raise, lower, or otherwise alter the previously reported numbers.
Preparation tools & forms
Professional preparation tools for GRI 2-4 — free with an LRA Community membership. Register once (it's free) and every download unlocks, together with the Disclosure Library, templates and the LRA AI-assistant.
For each claim, check the evidence
Evidence pack to prepare
Common reporting gaps
Mistakes to avoid when collecting the data
Where judgement is often needed
Illustrative examples
Synthetic, written by LRA — not from a company report, not text from any standard.
In our 2025 report, we corrected prior-year figures after a data review found that one site had been excluded from the 2024 consolidation set. The revision changed the 2024 total workforce from 4,800 to 5,000, so the reported figure increased by 200 people, and it also lifted the 2024 injury count from 24 to 25; we explain these changes because the earlier version was incomplete and the updated numbers now reflect the full group. - The main reason was a boundary error in the earlier dataset. - The effect was a higher headcount and a slightly higher incident total for the prior year, with no change to the current-year figures.
This example shows how to flag a prior-period correction, say why the earlier numbers changed, and state the practical impact on the reported figures.
We restated last year’s warehouse energy use after replacing an estimated value with meter-based data for one distribution centre. The 2024 electricity figure moved from 12,000 MWh to 11,400 MWh, and the share of renewable electricity in that same year changed from 40% to 42% because the corrected denominator was lower; we set out both the reason for the revision and its effect so readers can see what changed and by how much. - The correction came from better source data for one facility. - The effect was a lower total energy figure and a higher renewable share for the prior year.
This example shows a restatement driven by improved data quality, with both the cause and the numerical effect explained in plain language.
How companies report GRI 2-4 in practice
Real reports where this topic is disclosed. These are report practice, not exact disclosure templates to copy.

Scenarios to work through
Last year’s workforce figures were published before a payroll system fix was completed. After the fix, the team found that one prior-year headcount figure had been overstated, so the current draft includes the corrected number.
A prior-year emissions total was recalculated after a data source was replaced with a more complete one. The revised total is lower than the figure previously published, and the reporting team is deciding whether to mention only the new number.
A sustainability metric for the prior year was corrected after a calculation error was found. The team has the revised value and a short note about the error, but has not yet drafted any explanation of how the correction affects the published trend.
A comparative table shows last year’s water-use figure has been updated after a meter-reading issue was resolved. The team wonders whether a brief note saying 'prior year corrected' is enough.
Related framework references
How this disclosure maps across the major reporting frameworks.
Questions this page answers
The page says to prepare the prior-period restatement reasons and the prior-period restatement impact. It also gives a step-by-step preparation section, so you can use that to turn the disclosure into a data-collection checklist.
Use it as a working guide to move from understanding the disclosure to gathering the right inputs, checking scope, and building a draft. The page is designed to help you prepare the disclosure rather than just describe it.
The page includes an evidence pack with five items for assurance readiness, so it is meant to help you assemble support for the disclosure before review. Use it alongside the assurance claims to make sure the draft can be traced back to source material.
The page lists four assurance claims to verify, each with a claim, risk and evidence prompt. That makes it useful for checking whether the disclosure is supported and where the main assurance risks sit.
The page has a section on common reporting gaps and mistakes, which you can use as a pre-submission check. It is intended to help you spot missing detail, weak support or inconsistent reporting before the draft is finalised.
The page includes draft-output support, including narrative starters and a GRI content-index line. You can use those to turn the collected data into a first-pass disclosure and then tailor the wording to your company’s facts.
Yes, the page shows synthetic illustrative examples, including a quantitative table where relevant. They are there to show how the disclosure might look in practice, but they are not real company disclosures.
The Download Centre includes a Prep & Assurance workbook in .xlsx format, which is meant to support preparation and assurance readiness. Use it to organise the required inputs, evidence and review steps before drafting.
The Download Centre also includes a printable Library Card in .pdf format. It is a practical companion for keeping the disclosure requirements, preparation steps and evidence prompts in one place.
The page has a 'From company reports' table that links to real published reports at the pages where the topic is disclosed. You can use it to see how other companies have presented the topic in practice.
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