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Level 2 · Decision guide·IFRS S1 / S2 · Disclosure guides

IFRS S2 Scope 3: How to Assess All 15 Categories and Improve Data Quality

A controlled roadmap for category screening, value-chain boundaries, primary and secondary data, estimates, reassessment and transparent disclosure of methods and limitations.

Who this is for A 17-minute read for reporting teams working through Measuring and disclosing greenhouse gas emissions under IFRS S2, and for reviewers testing whether the evidence behind it holds.

Published passport

Current as at 10 August 2026
RK Reviewed by Dr Ross KurinkoLinkedIn Strategic ESG Advisor · IFRS S1 & S2 / GRI / ESRS expert GRI Certified Global Trainer · PhD, University of Cambridge · ESG-AI expert 15+ years on FTSE 100 & Fortune Global 500 disclosures Canary Wharf, London LRA educational guidance · Not issued or endorsed by IFRS

Edition written against

STATUS AND LIMITATION: Technical content is grounded in the December 2025 issued text of IFRS S2 …

Published

10 Aug 2026

Knowledge Hub guide

Last reviewed

10 Aug 2026

Short answer

The answer, before the reasoning

IFRS S2 requires an entity to consider its entire upstream and downstream value chain and all 15 GHG Protocol Scope 3 categories, then disclose which categories are included in the Scope 3 measure. The inventory can and usually will use estimates.

The entity must use reasonable and supportable information available without undue cost or effort, apply the Scope 3 measurement framework, prioritise - with judgement and all else being equal - direct, value-chain-specific, timely and representative, and verified data, and disclose the extent of specific and verified inputs. A category register, documented exclusions, reassessment triggers and a multi-year data-improvement plan turn this into a controlled reporting process.

Technical status

EDITORIAL STATUS

<p>This document is publication-ready in structure and source-grounded in official IFRS Foundation and GHG Protocol materials. Before external release, assign a named technical reviewer, confirm local adoption and reporting-period context, test all links, and approve the final compliance wording.</p>

Why a category screen is not a one-off questionnaire

Scope 3 spans suppliers, logistics providers, employees, customers, leased assets, franchises and investments. No single internal system normally contains all relevant activity data. The temptation is therefore to ask business units which categories “feel relevant”, calculate a few easy numbers and describe the rest as unavailable. That approach does not establish a defensible value-chain boundary or a faithful measurement.

IFRS S2 instead requires a complete consideration of all 15 categories, use of reasonable and supportable information available without undue cost or effort, and a measurement framework that makes data-quality trade-offs visible. The practical goal is not perfect primary data in year one. It is a controlled inventory that records why a category is included or excluded, how the estimate was built, how much of it uses specific and verified data, and what will improve next.

Quick orientation

Figure 1. All 15 Scope 3 categories and a controlled data-improvement roadmap. London Reporting Academy learning visual.

Quick orientation

Applies to
Entities preparing absolute gross Scope 3 disclosures under IFRS S2.
Primary decision
Which categories are included, how the value-chain boundary is set, what data is proportionate and how quality and limitations are disclosed.
Key source
IFRS S2 paragraph 29(a)(vi) and B32-B57; GHG Protocol Scope 3 Standard.
Common confusion
A category can be excluded merely because supplier-specific data is unavailable or the current estimate is difficult.

In practice

The 15 categories to consider

No. Category Typical sources — First screening evidence
1 Purchased goods and services Production of goods and services purchased in the reporting year. — Spend and volume data, bill of materials, supplier sectors and product carbon data.
2 Capital goods Production of acquired capital equipment, buildings and infrastructure. — Capital expenditure register, asset additions and project quantities.
3 Fuel- and energy-related activities Upstream fuel and energy emissions not included in Scope 1 or Scope 2. — Fuel and electricity consumption, well-to-tank factors and transmission losses.
4 Upstream transport and distribution Third-party transport and warehousing of purchased goods. — Freight invoices, mass, distance, mode, routes and logistics provider data.
5 Waste generated in operations Third-party treatment and disposal of operational waste. — Waste type, mass, treatment route, destination and contractor evidence.
6 Business travel Employee travel in non-owned or non-controlled vehicles and facilities. — Travel platform, route, class, hotel nights and reimbursement records.
7 Employee commuting Travel between home and work, including teleworking where methodologically relevant. — Employee locations, survey, working patterns, modes and distances.
8 Upstream leased assets Emissions from leased assets outside the entity’s Scope 1 and Scope 2 boundary. — Lease register, control treatment, energy data and asset type.
9 Downstream transport and distribution Third-party distribution, storage and retail after sale. — Sales routes, customer locations, mode, mass and distributor data.
10 Processing of sold products Processing of intermediate products by customers. — Product type, customer process, conversion rates and production factors.
11 Use of sold products Direct and indirect use-phase emissions of products sold. — Units sold, lifetime, energy/fuel use, use profile and market factors.
12 End-of-life treatment of sold products Waste treatment of products and packaging after use. — Product composition, regional treatment routes and recycling/disposal factors.
13 Downstream leased assets Emissions from assets owned by the entity and leased to others, outside Scope 1/2. — Owned-asset lease register, boundary treatment and tenant energy data.
14 Franchises Franchise operations outside the entity’s Scope 1/2 boundary. — Franchise list, operating model, site data, sales and energy proxies.
15 Investments Emissions associated with investments and financial services not in Scope 1/2. — Investment and lending registers, asset classes, exposure and counterparty emissions.

Rule

IMPORTANT DISTINCTION

<p>“Consider all 15” does not mean every category will have the same magnitude, data method or public disaggregation. It means the entity has a documented basis for the category conclusion and can explain the categories included in the Scope 3 measure.</p>

1. Build a category register before calculating

The category register is the core decision record. It prevents category decisions from being buried in separate workbooks and allows reviewers to trace the total Scope 3 figure back to the value-chain screen. A good register is maintained by reporting period and is connected to the entity, product, supplier, logistics, property and investment systems that support each category.

In practice

Field What to record
Category and value-chain activity Specific activity, entity, geography, product or relationship being assessed.
Applicability and boundary Why the category is relevant, not relevant, included, excluded or already captured in Scope 1/2.
Potential magnitude and risk linkage Spend, volume, use profile, lifetime, emissions intensity and climate-risk exposure.
Method Supplier-specific, activity-based, hybrid, spend-based, average-data or other appropriate method.
Inputs and factors Source, owner, period, unit, technology, jurisdiction, factor and GWP basis.
Data characteristics Direct/estimated; primary/secondary; specific/proxy; timely; verified/unverified.
Coverage and limitations Population covered, extrapolation, missing segments, uncertainty and double-counting controls.
Approval and improvement Reviewer, decision date, planned upgrade, target year and reassessment trigger.

2. Set the value-chain boundary using evidence

The value-chain boundary includes its breadth and composition: the upstream and downstream entities, activities and relationships that can affect the measurement. IFRS S2 requires reasonable and supportable information available at the reporting date without undue cost or effort. That information can include procurement and sales data, logistics flows, customer use patterns, lease registers, franchise systems, investment books, sector research and supplier engagement.

The organisational boundary is applied first. Activities outside Scope 1 and Scope 2 can then enter Scope 3 in the appropriate category. This is especially important for leased assets, franchises and investments: the same physical source can move between scopes depending on ownership and control, but it should not be double counted within the reporting entity’s inventory.

In practice

Boundary question Evidence Common failure
Is the activity already in Scope 1 or Scope 2? GHG organisational-boundary memo and source register. Adding leased or investee emissions to Scope 3 without checking the selected control approach.
Is the value-chain activity upstream or downstream? Contract, title transfer, logistics and customer-use flow. Classifying by department rather than by the GHG Protocol category definition.
What population is represented? Supplier, product, customer, country or asset universe. Calculating a sample without defining the denominator or extrapolation.
What changed since the last assessment? M&A, product, supplier, outsourcing, market and regulation logs. Rolling forward categories automatically despite a changed business model.

3. Use estimates without hiding the method

Scope 3 is expected to include estimation. A useful distinction is between the activity data that represents what happened and the emission factor that converts the activity into greenhouse gas emissions. Both can be primary, secondary, specific, proxy, current, older, verified or unverified. The correct method is the one that faithfully represents the category using the best reasonable inputs for the entity’s circumstances.

In practice

Method family Typical use Strength — Limitation to disclose
Supplier-specific Supplier provides activity or emissions data for the purchased product or service. Can closely represent the actual value-chain activity. — Boundary, allocation, calculation standard, period, verification and supplier coverage.
Activity-based Physical activity such as tonnes, kilometres, kWh, passenger-km or units sold multiplied by factors. More closely linked to operational drivers than spend alone. — Factor technology, jurisdiction, age, conversion assumptions and missing activity.
Hybrid Combines supplier-specific and secondary inputs across components or suppliers. Targets better data where it matters while retaining completeness. — Different quality tiers, allocation and risk of inconsistent boundaries.
Spend-based Financial spend multiplied by environmentally extended input-output factors. Useful for screening large procurement populations. — Price effects, currency/inflation, broad sector averages and weak operational sensitivity.
Average-data / modelled Industry or product averages, lifecycle databases or use-phase models. Practical where direct data is unavailable. — Representativeness, geography, technology, lifetime and scenario assumptions.

4. Apply the IFRS S2 data characteristics with judgement

IFRS S2 lists four identifying characteristics in no particular order. They are not a mechanical score in which one characteristic always wins. Management considers trade-offs. A verified industry average can be more reliable than an unverified supplier figure with a mismatched boundary. A slightly older technology-specific factor can be more representative than a recent generic global average.

In practice

Characteristic All else being equal Practical test
Direct measurement Prioritise direct monitoring over estimation. Is the emission monitored directly, and does the measured boundary match the reporting category?
Specific value-chain activity / primary data Prioritise data obtained from the actual activity or partner. Does it represent the entity’s supplier, route, product, asset or customer activity rather than an unrelated proxy?
Technology, jurisdiction and timeliness Use secondary data that reflects the relevant technology, location and reporting period. Is the factor representative of where and how the activity occurred, and is the data age acceptable?
Verification Prioritise internally or externally verified data. What checks were performed, by whom, against what source and for what population?

Rule

DATA-QUALITY DISCLOSURE

<p>The report should enable users to understand the extent to which Scope 3 uses inputs from specific value-chain activities and the extent to which the inputs are verified. Define the numerator, denominator and basis used for any coverage percentage.</p>

5. Prioritise data improvement without losing completeness

A first-year inventory should be complete enough to support the disclosure objective, even when much of it uses estimates. Data-improvement resources are then directed to categories and segments where better information could change investor understanding, management decisions, risk assessment or target tracking. The category total alone is not the only prioritisation input.

In practice

Prioritisation signal Why it matters Possible upgrade
Large estimated emissions Potentially drives the total and trend. Move from spend to physical activity or supplier-specific data.
High climate-risk exposure Data affects transition-risk or resilience analysis. Collect technology, geography and counterparty-specific information.
Strategic target category Progress claims depend on the metric. Increase primary-data coverage, verification and consistency.
Low coverage or high extrapolation Uncertainty may be concentrated in omitted populations. Define the denominator, expand source-system capture and reduce extrapolation.
High management influence Data can guide procurement, design, logistics or customer action. Add decision-useful operational drivers and supplier engagement.
Material year-on-year movement Change may reflect method rather than performance. Separate activity, factor, boundary and methodology effects.

6. Reassess categories when the business or value chain changes

IFRS S2 requires reassessment when a significant event or significant change in circumstances affects the value chain. Examples include a supplier change that alters emissions, an acquisition that expands the value chain, a business-model shift, outsourcing or insourcing, a new product use profile, or new emissions regulation affecting a supplier. More frequent reassessment is permitted and is often useful for annual controls.

In practice

Trigger Categories potentially affected Required control response
Acquisition or disposal Potentially all categories, plus Scope 1/2 boundary. Refresh entity and value-chain maps; assess comparatives and recalculation.
Outsourcing / insourcing 1, 4, 5, 8, 9, 13 and scope classifications. Test whether emissions moved between scopes or categories.
New product or redesigned use phase 1, 2, 10, 11 and 12. Update lifetime, energy use, processing and end-of-life assumptions.
Supplier or geography shift 1, 3, 4 and technology/jurisdiction factors. Update supplier population, route, grid and factor representativeness.
New regulation or transition exposure High-emitting suppliers, customers or investees. Reassess category scope, data depth and connection to climate risks.
New lease, franchise or financing activity 8, 13, 14 or 15. Apply organisational-boundary and category definitions to new arrangements.

In practice

A three-stage implementation roadmap

Stage Objective Actions and controls
Stage 1 - complete and explain Establish a defensible full-category inventory. Screen all 15; define populations; use reasonable secondary data; document methods, factors, assumptions and limitations; tie categories to total Scope 3.
Stage 2 - target high-value improvements Improve categories that drive emissions, risk, targets or decisions. Supplier data campaigns; physical activity capture; technology/geography factors; coverage metrics; internal verification; methodology-change controls.
Stage 3 - integrate and assure Embed Scope 3 in recurring management and reporting systems. Contract data clauses; procurement and product workflows; model governance; external verification where useful; automated reconciliations and reassessment triggers.

Hypothetical example: moving beyond a spend-based screen

Context. Meridian Manufacturing screens all 15 categories. Categories 1, 3, 4, 6, 7, 9, 11 and 12 are applicable; Categories 8, 13 and 14 are not applicable based on the approved lease and franchise registers; Category 15 contains a small treasury investment portfolio assessed separately. Category 1 initially represents 62% of estimated Scope 3 and is calculated almost entirely from spend factors.

Year-one decision. Meridian publishes a complete estimate using spend and average data, explains the category inclusions and data characteristics, and avoids claiming that the estimate is supplier-specific. It defines the Category 1 denominator as procurement spend excluding taxes and intra-group transactions and discloses that 8% of Category 1 uses supplier-specific product data and 12% of total Scope 3 inputs have been internally or externally verified.

Improvement plan. The company selects steel, aluminium, packaging and contract manufacturing for the first upgrade because they drive emissions, procurement decisions and transition exposure. It captures mass and specification data, obtains supplier product footprints with boundary checks, retains secondary data for the long tail, and sets annual coverage and verification milestones. A supplier-country shift and product redesign are added as reassessment triggers.

Hypothetical scenario

ILLUSTRATIVE SCENARIO

<p>The percentages and category conclusions are invented for teaching. A real entity must use its own boundary, populations, methods, investor information needs and applicable reporting requirements.</p>

Illustrative only. It shows how the decision is made, not wording that can be copied or relied on.

Illustrative disclosure wording

Context. Illustrative manufacturer using a mix of supplier-specific, activity-based and secondary data.

Why the wording is useful

Evidence needed

Approved category register for all 15 categories.

Value-chain population and denominator files.

Category calculation workbooks, factor sources and assumptions.

Supplier data and boundary/verification assessments.

Specific-activity and verified-input coverage calculations.

Data-gap and improvement register with owners and milestones.

Movement analysis separating activity, factor, boundary and method changes.

Management and governance approval record.

Hypothetical scenario

ILLUSTRATIVE WORDING - ADAPT TO FACTS

<p>“The Group considered the full upstream and downstream value chain and all 15 Scope 3 categories. The Scope 3 measure includes Categories 1, 3, 4, 6, 7, 9, 11, 12 and 15; the basis for categories not included is described in the category register. Scope 3 was measured using a combination of supplier-specific, activity-based and secondary data. Inputs from specific value-chain activities represented 34% of the reported Scope 3 emissions, and 21% of inputs were subject to internal or external verification, calculated using the coverage bases described below. The remaining estimate primarily uses technology- and jurisdiction-representative secondary factors. Category 1 contains the largest use of spend-based data; the Group is replacing this method for steel, aluminium and contract manufacturing through physical activity and supplier data over the next two reporting periods. Method, boundary and factor changes are separated from operational performance in the movement analysis.”</p>

Illustrative only. It shows how the decision is made, not wording that can be copied or relied on.

In practice

Element What it contributes
Completeness Confirms consideration of all categories and identifies those included.
Data mix Names supplier-specific, activity-based and secondary inputs.
Required quality information Quantifies specific-activity and verified input coverage and references the basis.
Limitations Identifies the category and method with the greatest weakness.
Improvement and comparability Explains the upgrade plan and separates methodology from performance.

Rule

ADAPTATION WARNING

<p>Define precisely how percentages are calculated. Do not present the illustrative categories, coverage levels or improvement milestones as universal benchmarks or a compliant template.</p>

In practice

Weak versus stronger disclosure

Version Illustrative wording Review comment
Weak “Scope 3 is estimated because supplier data is unavailable. We plan to improve it.” Too general, unbounded or unsupported.
Stronger “All 15 categories were considered; nine are included in the measure. Specific value-chain inputs represent 34% of reported Scope 3 and verified inputs 21% on the stated bases. Category 1 remains largely spend-based, with physical-data upgrades planned for four named procurement segments. The factor, boundary and method changes affecting comparability are quantified separately.” The stronger wording makes the boundary, data characteristics, weak points, improvement scope and comparability controls visible.

In practice

Common mistakes and corrections

Mistake Why it arises Risk — Correction
Screening only categories listed by a software template or peer report. The value-chain assessment is outsourced to a generic list. Relevant activities can be missed and category decisions lack evidence. — Consider all 15 categories using the entity’s actual suppliers, products, customers, assets and investments.
Excluding a category because no primary data exists. Primary data is mistaken for an applicability threshold. The inventory is incomplete and the absence of data is hidden. — Use reasonable secondary data or averages, document the estimate and plan proportionate improvement.
Using spend as a permanent method for the largest categories. Completeness in year one becomes a permanent default. Performance changes can be driven by price rather than emissions activity. — Prioritise physical and supplier-specific upgrades where they affect decisions, risks and targets.
Calling supplier-provided data “verified” without evidence. Origin is confused with verification. The required quality disclosure is overstated. — Record what check was performed, by whom, for what boundary and population.
Reporting one data-quality score without its basis. Complex inputs are compressed into a marketing metric. Users cannot understand the trade-offs or denominator. — Disclose specific-activity and verified coverage using defined bases and category-level limitations.
Failing to reassess after M&A or product change. The prior-year category register is rolled forward automatically. The value-chain boundary and use-phase assumptions become outdated. — Use event triggers linked to corporate-development, procurement, product and regulatory systems.

Myth versus reality

Practical consequence. A complete, clearly explained estimate is generally more useful than omitting large categories while waiting for perfect data.

Myth

“IFRS S2 requires perfect supplier-level Scope 3 data before a company can report.”

Reality

IFRS S2 anticipates estimation and permits secondary data and industry averages. The entity must use reasonable and supportable information, make data-quality trade-offs transparently, disclose the characteristics of inputs and improve the system over time.

Readiness

Reader checklist

  • All 15 categories appear in the category register with an evidence-based conclusion.
  • The organisational boundary and category classification prevent double counting with Scope 1 and Scope 2.
  • Each included category has a defined population, method, activity data, factor, period and owner.
  • Secondary data are assessed for technology, jurisdiction, timeliness and representativeness.
  • Primary data are tested for boundary, allocation, methodology and verification rather than accepted at face value.
  • Specific-activity and verified-input coverage percentages have defined numerators and denominators.
  • Exclusions, extrapolations, proxies and uncertainty are visible and category-specific.
  • Large or decision-relevant estimated categories have funded improvement actions and owners.
  • M&amp;A, outsourcing, products, suppliers, leases, franchises, investments and regulation trigger reassessment.
  • Category totals reconcile to total Scope 3 and the public category-inclusion statement.
  • Methodology changes are separated from operational performance in comparative analysis.

Self-check

  1. Why is “no supplier data” not a sufficient reason to exclude a Scope 3 category?
  2. How can a verified secondary factor be more useful than an unverified supplier estimate?
  3. Which event systems should feed the Scope 3 reassessment process in your organisation?

Next reading and learning path

Prerequisite: GHG Protocol and IFRS S2: Organisational Boundaries, Methods and Required Disclosures

Related metric: IFRS S2 Scope 2 Disclosure: Location-Based Emissions and Contractual Instruments

Financial-sector Category 15: IFRS S2 Category 15 and Financed Emissions: What Financial Institutions Must Report

Transition: IFRS S2 GHG Amendments 2025: What Changed and How to Prepare for 2027

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