This disclosure asks an organisation to report its Scope 3 greenhouse gas emissions, meaning the emissions linked to its wider value chain rather than only emissions from its own facilities or energy use. In practice, the focus is on capturing the organisation’s indirect emissions profile in a way that reflects the activities it relies on, such as purchased goods and services, transport, use of sold products, and other upstream and downstream sources where relevant.
The practical emphasis is usually on coverage across the organisation’s operations and value chain, not just a few flagship sites or the easiest-to-measure activities. Organisations should think about whether their reporting approach is broad enough to reflect the full business footprint, while also being clear about any gaps, estimates, or areas where data quality is still developing.
This LRA educational guidance supports disclosure preparation. For the exact requirements, always refer to the official CARB 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 the Scope 3 emissions data
Translate the disclosure into an internal business question — then adapt it to your organisation's own language.
Use your organisation’s own names for the teams, systems and emissions buckets first, then map them to the reporting categories for this request. Keep the ask in everyday operational language rather than framework wording, and check the official source before sign-off.
Please provide the Scope 3 disclosure data for the reporting period, including category coverage, category emissions, data sources, estimation methods and total emissions.
Why it fails: It uses framework language that many operational teams do not use day to day, so the owner may not know which systems, buckets or files to pull. It also does not tell them how to present the split, what to include as evidence, or which internal labels to use.
Please send the indirect emissions figures for [reporting period], split by your internal emissions buckets, with the source used for each bucket, the calculation approach, and the total for the period. Include any buckets that are only partly covered or excluded, and return the file or system name used to build the numbers.
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 value-chain categories are included, what reporting period the figure covers, which calculation methods were used, and whether the inputs came from direct records, secondary records, proxy data, or sector averages.
Explain that the total reflects emissions across the included value-chain categories, while the category split shows where the main contributions sit and how much each part adds to the overall figure.
If the total or category mix changes, point to shifts in the included categories, the underlying data sources, or the estimation approach, and note whether the reporting period itself also changed.
Preparation tools & forms
Professional preparation tools for SB253-SCOPE-3 — 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.
: for the 2025 reporting year, we have set out the parts of our value-chain footprint that we included, the emissions attached to each part, and the methods and data types used to build the estimate. Our total Scope 3 figure is 1,240,000 tCO2e.
Illustrative only. Shows a concise first-person disclosure that names the included value-chain areas, gives category-level figures, and explains the main estimation approach and data inputs used for the year.
: for the 2025 reporting year, we included the value-chain areas listed below and estimated them using a mix of primary records, supplier inputs, proxy data, and sector averages where needed. Our total Scope 3 figure is 385,000 tCO2e.
Illustrative only. Shows a second plausible reporter with a different mix of included areas and a smaller footprint, while still identifying the reporting year, the data sources used, and the estimation approach.
How companies report SB253-SCOPE-3 in practice
Real reports where this topic is disclosed. These are report practice, not exact disclosure templates to copy.

Scenarios to work through
A preparer has a draft table for the year ended 31 December 2025. It shows a single total for value-chain emissions, but the working papers only cover purchased goods, transport, and business travel; no other categories have been assessed yet.
A company has calculated its value-chain emissions using supplier-specific activity data for some purchased materials, spend-based estimates for freight, and an industry-average factor for leased assets. The draft notes mention the methods, but not which source type was used for each category.
A group reports its value-chain emissions for the 2025 financial year, but one business unit has used calendar-year supplier data and another has used a rolling 12-month estimate ending in March 2025. The consolidated total is ready, but the reporting note does not explain the period basis.
A preparer has a final value-chain total of 18,400 tCO2e for 2025. The category breakdown adds up correctly to that total: purchased goods 9,600 tCO2e, upstream transport 2,300 tCO2e, business travel 1,100 tCO2e, and other categories 5,400 tCO2e.
Related framework references
How this disclosure maps across the major reporting frameworks.
Questions this page answers
The page says to prepare the included Scope 3 categories, category emissions split, data source mix, estimation approach, reporting year window and the Scope 3 total emissions. It also gives a step-by-step preparation section to help you organise those inputs before drafting.
Use the page’s preparation list to identify the included Scope 3 categories and then keep the category emissions split aligned to those categories. The page is designed to help you set the scope before you turn the data into a draft.
The page asks you to prepare a data source mix and an estimation approach, so you can explain where the numbers came from and how they were built. That helps you keep the disclosure and the evidence pack consistent.
The page is set up for practical preparation, so you can use the workbook and step-by-step section to assign who owns each input, such as category data, source data and the final total. It is meant to support a clear handoff into drafting and assurance readiness.
The page includes an evidence pack with five items and six assurance claims to verify, each with a claim, risk and evidence focus. That gives you a practical starting point for building an assurance-ready file set.
The page says there are six assurance claims to verify, each linked to a claim, risk and evidence check. Use them as a review list to test whether your draft, calculations and supporting documents line up before sign-off.
The page lists common reporting gaps and mistakes so you can check for missing categories, inconsistent splits, weak source explanations or gaps between the draft and the evidence pack. It is intended as a practical pre-submission check.
The Download Centre includes a Prep & Assurance workbook in .xlsx format, which is there to help you organise the preparation inputs and assurance checks. The page also provides a printable Library Card in .pdf for quick reference.
The page has a draft-output section with visualisation ideas, narrative starters and a content-index line to help you convert the prepared data into a written draft. It is designed to move you from data collection to a usable disclosure text.
Yes, the page notes ESRS E1 (Climate Change) as the closest correspondence, so the data may be reusable across both contexts. It does not say the requirements are identical, so you should treat it as a practical cross-reference rather than a one-to-one match.
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