How to Read a Product's PCF: The Difference Between Cradle-to-Gate and Cradle-to-Grave

PCF (Product Carbon Footprint) reports are increasingly being requested by customers. Supply chain transparency, CBAM requirements, and corporate sustainability targets are driving this demand. Some companies view PCF as a single number and close the file saying "our product's carbon is this." This approach creates problems in the short term. Because PCF is not just a number, it's the entirety of the methodology, boundaries, and assumptions behind that number.

In this guide, we cover in detail how you should read PCF reports, what elements to pay attention to, and how to evaluate PCF data from suppliers.

The concept of system boundary

System boundary is the most critical parameter of PCF calculation. Different boundaries for the same product produce completely different results. ISO 14067 standard requires the system boundary to be clearly defined and reported.

Cradle-to-gate

Covers stages from raw material extraction to the factory gate. This boundary provides a production-focused view and is the most commonly used approach in B2B (business-to-business) relationships.

Cradle-to-gate scope includes:

Raw material extraction and processing
Transportation of raw materials to the factory (upstream logistics)
Production processes (energy consumption, process emissions)
Management of waste generated at the production facility
Processing of intermediate products

Cradle-to-gate scope does not include:

Distribution of the product to the customer
Product use phase
Product end-of-life (disposal, recycling)

This boundary covers stages that the supplier can control. After purchasing the product, the customer incorporates it into their own processes and calculates the emissions of those stages themselves.

Cradle-to-grave

Covers the entire life cycle: from raw material extraction to product disposal. This boundary is more meaningful for consumer products and gives the complete picture of the product's true environmental impact.

Cradle-to-grave additionally includes:

Distribution and retail stage
Use phase (energy consumption, maintenance, repair)
End-of-life scenarios (recycling, incineration, landfill)

Cradle-to-grave calculation requires more assumptions. Assumptions about how the product will be used (usage duration, usage intensity) and how it will be disposed of (recycling rate, disposal method) are determined. These assumptions significantly affect the result.

Gate-to-gate

Covers only processes within the production facility. Raw material production and downstream stages are not included. This boundary provides a partial picture and is generally used as supplier data. It is not suitable for product comparison on its own.

Practical effects of boundary selection

Consider a steel product. PCF calculated with cradle-to-gate boundary covers ore extraction, coke production, blast furnace and steelmaking processes. When calculated with cradle-to-grave boundary, maintenance throughout the life of the structure where the steel is used and scrap processing after demolition are also added. These two results produce completely different numbers and serve different purposes.

Functional unit selection

Functional unit defines what the PCF result represents. ISO 14067 requires the functional unit to be measurable, comparable, and reflective of the product's function.

Functional unit examples

For paint product:

1 kg of paint (mass-based)
1 liter of paint (volume-based)
Amount needed to cover 1 m² of surface (function-based)
Protecting 1 m² of surface for 10 years (performance-based)

Function-based unit is more meaningful for comparing paints of different densities. A paint may be denser but can cover the same area with less usage.

For packaging:

1 kg of packaging material
1 piece of packaging
Amount needed to package 1 liter of beverage
Packaging 1000 units of product

For electronic product:

1 piece of device
Device's function over 5-year lifespan
1 hour of use

If the functional unit is different, PCF values cannot be directly compared. When evaluating PCF from suppliers, check whether the functional unit is compatible with your usage scenario.

Data quality assessment

The quality of data used in PCF calculation determines the reliability of the result. ISO 14067 and GHG Protocol Product Standard define criteria for data quality assessment.

Primary and secondary data distinction

Primary data: Measurement data collected directly from the production process. Energy bills, raw material consumption records, process measurements fall into this category. It is the most reliable data type.

Secondary data: Industry averages or literature values from databases (Ecoinvent, GaBi, DEFRA). Used when primary data is not available or for upstream processes.

Data quality criteria

Temporal compatibility: The age of the data matters. A 10-year-old emission factor does not reflect current technology and grid composition. As a general rule, caution should be exercised with data older than 5 years.

Geographic compatibility: Data should reflect the region where production takes place. European average may not be sufficient for production in Turkey. Especially for electricity emission factors, country-specific values should be used.

Technological compatibility: Data should be compatible with the technology used. A 20-year-old technology average is not appropriate for a modern production facility.

Completeness: Data should cover all relevant inputs and outputs. Missing data makes the result appear lower than it actually is.

Data quality score

Many PCF reports report data quality assessment on a 1-5 point scale:

1 point: Measured primary data, current year, same location
2 points: Calculated primary data, last 3 years, similar location
3 points: Industry average, last 5 years, same country
4 points: Literature value, last 10 years, similar region
5 points: Estimate or default value, old data, different region

Interpreting contribution analysis

Contribution analysis breaks down the total PCF value into its components. This analysis provides critical information for reduction strategy.

Example contribution analysis

Typical contribution distribution for a textile product:

Raw material (cotton fiber): 35-45%
Yarn production: 5-10%
Weaving/knitting: 5-10%
Dyeing and finishing: 20-30%
Garment making: 3-5%
Packaging: 2-3%
Distribution: 3-5%

This distribution shows where to focus for reduction. If the dyeing and finishing stage has a high share, energy efficiency or renewable energy use in this stage should be prioritized.

Absence of contribution analysis

Some PCF reports only give the total value, without contribution analysis. This reduces the usefulness of the report. Contribution analysis should be requested from suppliers.

Things to consider when comparing PCF reports

When comparing PCF values from different suppliers, common mistakes should be avoided.

Common comparison errors

Boundary difference: If one supplier reports cradle-to-gate and another cradle-to-grave, the comparison is misleading.

Functional unit mismatch: "Per kg" and "per piece" values cannot be directly compared.

Data quality difference: If one supplier uses primary data while another uses industry averages, results are not comparable.

Exclusions: Some reports exclude certain inputs or processes. In this case, a low value is misleading.

Third-party verification check

Whether the PCF report has been verified is critical for reliability.

Checking verification status

Look for a verification statement in the report
The name, accreditation, and verification date of the verifying organization should be checked
Verification scope (which products, which facilities) should be clarified
The difference between limited assurance and reasonable assurance should be understood

Accreditation checks

TÜRKAK in Turkey, IAF member accreditation bodies internationally are reliable references. The verifying organization is expected to be accredited under ISO 14064-3 or ISO 14067.

Questions to ask when receiving PCF from suppliers

When you receive PCF data from your supplier, ask these questions:

What is the system boundary? (cradle-to-gate, cradle-to-grave, gate-to-gate)
What is the functional unit?
Which year's data was used?
What is the ratio of primary to secondary data?
Which emission factor sources were used?
Are there any excluded processes or inputs?
Was third-party verification performed? If so, by whom?
Is contribution analysis available?
Was data quality assessment performed?
Can the methodology document be shared?

Conclusion

When reading a PCF report, look at the framework, not the number: boundary, functional unit, data quality, contribution analysis. Without reading these four elements, comparison is misleading. Using a standardized question set when evaluating supplier PCFs is the most effective way to obtain comparable and reliable data.

PCF is not an end in itself. It is a tool used to develop reduction strategies, make supplier selections, and improve product design. Knowing how to read the tool is the first step to achieving these goals.

How to Read a Product's PCF: The Difference Between Cradle-to-Gate and Cradle-to-Grave