CSRDValue chain estimatesESRS

CSRD value chain estimates under ESRS

Use this page to decide when estimated upstream or downstream value-chain information is acceptable in an ESRS sustainability statement.

The focus is the ESRS boundary test, reasonable effort, indirect sources, BP-2 disclosure, uncertainty, and verifiable evidence.

Author
Sorena AI
Published
May 9, 2026
Updated
May 9, 2026
Sections
5

Structured answer sets in this page tree.

Primary sources
4

Cited legal and guidance references.

Publication metadata
Sorena AI
Published May 9, 2026
Updated May 9, 2026
Overview

ESRS value-chain estimation is not a permission to replace difficult data with a generic assumption. It is a narrow reporting method for material upstream or downstream information that the undertaking needs in order to explain material impacts, risks, or opportunities, but cannot collect directly after reasonable efforts. The resulting number or narrative has to identify the value-chain segment, explain the basis for preparation, disclose accuracy limits where BP-2 applies, and remain capable of verification.

Section 1

Use estimates only after the ESRS value-chain boundary test

Start with ESRS 1 paragraphs 63 to 65. The sustainability statement is extended beyond the reporting undertaking only for material impacts, risks, and opportunities connected through direct or indirect business relationships in the upstream or downstream value chain. ESRS 1 paragraph 64 is the guardrail: the undertaking is not asked to report on every supplier, distributor, customer, user, or end-of-life actor.

An estimate is appropriate only after that boundary test shows that value-chain information is needed and direct collection has not produced the necessary reliable information after reasonable efforts. If the matter is not material for the relevant value-chain part, the page should not invent a metric. If it is material, the estimate should be scoped to that part of the chain and to the specific disclosure it supports.

  • Define the IRO first: name the material impact, risk, or opportunity and the upstream or downstream relationship where it arises.
  • Define the reporting use: materiality assessment evidence, an ESRS metric, an entity-specific metric, or context for policies, actions, and targets.
  • Keep the estimate at the right level: geography, supplier tier, commodity, product use, customer group, waste stream, or other value-chain segment.
  • Do not use one enterprise-wide proxy where material differences between geographies, products, or activities would be obscured.
  • Stop if the estimate cannot meet ESRS qualitative characteristics, including relevance, faithful representation, comparability, verifiability, and understandability.
Section 2

What reasonable effort should leave behind

EFRAG IG 2 treats reasonable effort as fact-specific. It depends on the reporting burden of obtaining direct data, the expected quality loss from not obtaining it, the processes used to collect value-chain information, and the resources dedicated to those processes. That means a reporter needs evidence of the attempt, not a sentence saying the data was unavailable.

The record should be built at the metric or disclosure level. A Scope 3 category, a living-wage risk screen for facilities in high-risk countries, and a downstream use-phase energy estimate need different counterparties, indirect sources, assumptions, and accuracy explanations.

  • Request definition: the ESRS disclosure or entity-specific metric, requested datapoint, period, unit, value-chain segment, and expected use in the sustainability statement.
  • Collection evidence: supplier, customer, distributor, investee, or partner requests; response rates; non-response reasons; data-quality checks; and rejected inputs.
  • Proportionality rationale: why more direct collection was unavailable, unreliable, or beyond reasonable effort in this fact pattern.
  • Indirect-source rationale: why sector-average, country, product, spend, market, peer, sample, public-report, or database evidence is the most supportable available basis.
  • Quality conclusion: whether the estimate is suitable for trend reporting, target tracking, risk screening, narrative context, or only a directional statement.
Section 3

What BP-2 requires for estimated value-chain metrics

ESRS 2 BP-2 paragraph 10 applies when metrics include upstream or downstream value-chain data estimated using indirect sources such as sector-average data or other proxies. The disclosure has four parts: identify the affected metrics, describe the basis for preparation, describe the resulting level of accuracy, and, where applicable, describe planned actions to improve accuracy in the future.

For a visitor building a reporting file, the important control is traceability from the final number back to the estimate package. The sustainability statement should not bury an estimated input inside an aggregate total without explaining which metric used the estimate and what level of confidence users should attach to it.

  • Metric identification: list each ESRS metric, entity-specific metric, or monetary amount affected by estimated value-chain inputs.
  • Basis for preparation: document boundary, population, indirect source, calculation method, conversion factor, period, and significant assumptions.
  • Resulting accuracy: state coverage, uncertainty, known bias, missing geographies or tiers, and whether the result is measured, modelled, extrapolated, or directional.
  • Improvement actions: describe planned supplier data collection, customer data collection, product-specific activity data, sampling, updated factors, or better controls where applicable.
  • Revision logic: when new information changes an estimate from a prior period, distinguish revised estimates from prior-period errors and explain comparability limits.
Section 4

Where an estimate needs a visible limitation

ESRS 1 section 7.2 says measurement uncertainty can arise when quantitative metrics and monetary amounts, including value-chain information, cannot be measured directly and can only be estimated. Estimates are not automatically lower quality, but assumptions and estimates must be accurately described and explained.

A visible limitation is needed when the source is broad, the value-chain segment is only partly covered, or the method could imply precision that the evidence does not support. EFRAG IG 2 also warns that quantifying indirect impacts does not always produce relevant information about the undertaking's impact; in some circumstances a different metric or narrative may be more faithful.

  • Sector averages: state the sector, geography, year, activity, and why the average is a reasonable proxy for the undertaking's value-chain segment.
  • Spend-based estimates: state the spend category, conversion factor, price-year or inflation treatment, and why spend is an acceptable activity proxy.
  • Sample extrapolations: state sample size, coverage, selection basis, excluded populations, and extrapolation method.
  • Country or risk databases: state why the country, region, commodity, worker group, or product-use context fits the IRO being assessed.
  • High uncertainty: explain whether the estimate can support target tracking or only screening, prioritisation, or contextual disclosure.
Section 5

Build a verifiable estimate package

ESRS Appendix B treats verifiability as the ability to corroborate the information itself or the inputs used to derive it. For value-chain estimates, that means the file should connect the ESRS requirement, materiality conclusion, direct-data effort, indirect source, calculation, limitation, BP-2 wording, and approval evidence.

Keep the package at the level of the affected metric or disclosure. A general policy saying proxies are allowed will not explain why a specific supplier-tier estimate, product-use estimate, living-wage screen, or Scope 3 input is reasonable and supportable at the reporting date.

  • Materiality link: IRO, affected stakeholder or environmental matter, value-chain segment, and ESRS disclosure or entity-specific metric.
  • Direct-data file: who was asked, what was requested, what was received, what failed data-quality checks, and why the remaining gap required estimation.
  • Indirect-source file: source title and URL, source date, coverage, geography, sector or product fit, known exclusions, and why it is reasonable for the estimate.
  • Calculation file: inputs, formulas, conversion factors, assumptions, sensitivity checks, preparer, reviewer, approval date, and version history.
  • Disclosure file: BP-2 metric list, basis for preparation, resulting accuracy, uncertainty wording, and planned actions to improve accuracy where applicable.
Recommended next step

Turn value-chain estimates into reviewable ESRS evidence

Use this CSRD value-chain estimates guide to document direct-data efforts, proxy choices, BP-2 disclosure wording, uncertainty, and improvement plans.

Primary sources

References and citations

efrag.org
Referenced sections
  • EFRAG IG 2 supports transparent explanation of value-chain estimates, proxies, direct-data limitations, and future improvements.
"transparent disclosure and explanation"
efrag.org
Referenced sections
  • Identifies IG 2 Value Chain Implementation Guidance as non-authoritative EFRAG guidance covering value-chain reporting, reporting boundary, operational control, and FAQs.
"Value Chain Implementation Guidance"
xbrl.efrag.org
Referenced sections
  • Explains how BP-2 value-chain estimation disclosures can be connected to affected digital facts through taxonomy dimensions or fact-to-fact relationships.
"value chain estimated data"
xbrl.efrag.org
Referenced sections
  • ESRS 1 Appendix B supports keeping estimate inputs, methods, assumptions, and review evidence available so sustainability information is verifiable.
"inputs and methods of calculation"
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