Practical guides
Andrés Cester
CEO & Co-Founder

Scope 3 of the GHG Protocol groups the indirect emissions of the value chain into 15 categories: 8 upstream, tied to what the company buys, and 7 downstream, tied to what it sells. Each one needs a different data point, from a different source, with a different calculation method. That is where the real difficulty lies.
According to Scope 3 Upstream: Big Challenges, Simple Remedies, published by Boston Consulting Group and CDP in June 2024 with 2023 data, the supply chain emissions of reporting companies are on average 26 times higher than their operational Scope 1 and 2 emissions. Only 15% of those companies have a Scope 3 reduction target.
Scope 3 covers the greenhouse gas emissions a company does not directly control but which are generated as a consequence of its activity: purchasing, transport, use of sold products, waste treatment and investments. Scopes 1 and 2 are calculated from your own invoices; Scope 3 depends on third parties who do not always hold the data or have any duty to hand it over.
Pressure comes from two directions. The CSRD, after Directive (EU) 2026/470 published on 26 February 2026, keeps Scope 3 as central reporting content where it is material, even though scope has narrowed to companies with more than 1,000 employees and 450 million euros in turnover, with financial year 2027 as the first reporting year. Separately, large customers ask for it contractually long before any legal obligation arrives.
If you are starting from zero, our guide to starting your Scope 3 emissions journey covers the first steps.
This table is the operational part: what you have to obtain, where it usually sits and which GHG Protocol method turns it into emissions.
| Category | Data you need | Where it comes from | Recommended method |
|---|---|---|---|
| 1. Purchased goods and services (upstream) | Quantity purchased per material or service, or spend per category | ERP, procurement module, supplier master data | Supplier-specific method where primary data exists; otherwise average data by mass and, as a last resort, spend-based |
| 2. Capital goods (upstream) | Fixed asset additions for the year, mass or cost per asset | Fixed asset accounting | Average data by material or spend-based, booking the full amount in the year of acquisition |
| 3. Fuel and energy activities not in Scopes 1 and 2 (upstream) | The kWh and litres already booked in Scopes 1 and 2 | Your own invoices and meters | Upstream extraction and transport factors, plus the grid loss factor |
| 4. Upstream transportation and distribution | Tonne-kilometres by mode, or litres consumed by the carrier | Logistics operator, delivery notes, carrier portal | Fuel-based method where available; otherwise distance-based, aligned with ISO 14083 |
| 5. Waste generated in operations (upstream) | Tonnes by waste type and treatment route | Waste transfer documents and authorised waste manager contracts | Waste-type-specific method by destination |
| 6. Business travel (upstream) | Kilometres by transport mode and hotel nights | Corporate travel agency, cards and expense claims | Distance-based. Spend-based only as a fallback |
| 7. Employee commuting (upstream) | Home-to-work distance, mode per person and remote working days | Annual survey and HR data | Distance-based with mode averages |
| 8. Upstream leased assets | Energy consumption or floor area of leased buildings and equipment | Contracts, invoices and the lessor | Asset-specific method; without meter readings, average per square metre |
| 9. Downstream transportation and distribution | Tonne-kilometres to the end customer | Dispatch system and last-mile operators | Same as category 4 |
| 10. Processing of sold products (downstream) | Energy the customer uses to transform the product | Industrial customer or sector data | Site-specific method where the customer cooperates; otherwise sector average data |
| 11. Use of sold products (downstream) | Units sold, unit consumption and service life | Product engineering and sales | Direct use-phase method for energy-using products, declaring lifetime and usage assumptions |
| 12. End-of-life treatment of sold products (downstream) | Product mass and composition, plus the treatment scenario | Technical data sheet and national waste management rates | Waste-type-specific method |
| 13. Downstream leased assets | Lessee consumption or leased floor area | Contracts and meter readings | Asset-specific method or area average |
| 14. Franchises (downstream) | Energy consumption and activity of each franchised site | Franchisee reporting | Franchise-specific method; otherwise average per site |
| 15. Investments (downstream) | Stake in each company and the investee's emissions | Portfolio and investee reporting | Investment-specific method with proportional attribution |
The GHG Protocol does not require you to calculate all fifteen. It requires you to assess all of them and justify any exclusions. The standard sets six relevance criteria:
The practical route is a hotspot analysis first, using spend factors across the whole procurement ledger, then finding where 80% of the impact sits, and refining only those categories with primary data. Document the analysis: that is what a verifier will ask for before accepting an exclusion.
The hierarchy is always the same, best to worst:
Three practices make an inventory survive an audit: declaring what share of each category was calculated with each data type, documenting uncertainty rather than hiding it, and setting an annual target for replacing estimates with primary data. If the bottleneck is getting that data, how to overcome the supplier data barrier explains how to structure the campaign.
Yes, it is under revision. On 31 March 2026 the GHG Protocol published a Phase 1 progress update on the revision of the Corporate Value Chain (Scope 3) standard. These are draft proposals, pending public consultation and approval by the Independent Standards Board, but they signal the direction:
None of this is enforceable yet. The sensible move is to start tagging the origin of every data point now, because it is the most likely requirement and the most expensive one to retrofit.
If you want to understand how climate risk propagates along the chain, we have an analysis of the impact of climate change on the supply chain.
For companies in CSRD scope, yes where it is material. Royal Decree 214/2025 does not require it from the private sector: it mandates Scope 1 and 2 and leaves Scope 3 voluntary. In the MITECO carbon footprint registry it is also voluntary, although registering it triggers mandatory external verification.
With last year's procurement ledger. Spend per category plus spend factors produces a hotspot map in a few days, enough to know who to ask for primary data.
In automotive and appliances, use of sold products, category 11, dominates. In food, fashion and retail, category 1 rules. In banking and insurance, category 15. In professional services, categories 6 and 7.
Yes, the GHG Protocol accepts them, but they have a serious management flaw: if a supplier decarbonises without changing its price, the estimate does not move. They are for screening, not for tracking progress.
By documenting the relevance analysis against the standard's six criteria and roughly quantifying what is excluded. An exclusion with no number behind it rarely passes verification.
ISO 14064-1:2018 organises indirect emissions into categories that differ from the GHG Protocol's fifteen, although the content overlaps. We compare them in GHG Protocol versus ISO 14064-1.
To maintain a Scope 3 inventory with the audit trail a verifier expects, and to automate reading supplier invoices and documents, you can rely on Manglai's carbon footprint platform and its artificial intelligence features.
Andrés Cester
CEO & Co-Founder
About the author
Andrés Cester is the CEO of Manglai, a company he co-founded in 2023. Before embarking on this project, he was co-founder and co-CEO of Colvin, where he gained experience in leadership roles by combining his entrepreneurial vision with the management of multidisciplinary teams. He leads Manglai’s strategic direction by developing artificial intelligence-based solutions to help companies optimize their processes and reduce their environmental impact.
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