Estimated Product Carbon Footprint
moto razr 60 Ultra
Model Series: XT2551-6
Device Type: Mobile Smartphone
Report Issue Date: July 17, 2025
Motorola values its commitment to the environment. As part of that commitment, Motorola performs product lifecycle analysis in accordance with the ISO 14040 and ISO 14044 standards. This analysis allows the customer to estimate the carbon footprint of their product.
The estimated carbon footprint is an approximate measure of the greenhouse gas emissions produced over the lifecycle of the product and is reported as the global warming potential for a 100-year time horizon (GWP-100) in units of CO2 equivalents (CO2e).
Estimated carbon footprint of the razr 60 ultra
47.27 Kg CO2e
Assumptions for Estimate:
| Product Weight (g) | Screen Size (inches) | Assembly Location |
|---|---|---|
| 196 | 7.0 | China |
| Typical Use Period (years) | Typical Yearly Energy Use (kWh/a) | Use Location |
| 3 | 4.34 | France |
Lifecycle Carbon Footprint Breakdown:
The product carbon footprint (PCF) is calculated using GaBi Software version 10, including the most current 2022 updates for modelling each of the product type lifecycle steps. GaBi data is compliant to ISO 14040/14044 standards and produces an estimate of the greenhouse gases resulting from the product's lifecycle:
- Manufacturing: from raw material extraction to production.
- Transport: including upstream and downstream activities.
- Use: typical energy use over the life of the product.
- End-of-life: recycling and precious metal recovery.
The pie chart shows the percentage contribution value for each element (Manufacturing, Transport, Use, End-of-life) of the analysis for the full life cycle CO2e impacts of the product. The breakdown is as follows:
- Manufacturing: 93.9%
- Transport: 4.2%
- Use: 2.5%
- End-of-life: -0.6%
Note: The manufacturing stage itself has further breakdowns, with PCBA being the largest component.
Uncertainty and Comparability:
Communicating these GHG levels through quantitative estimates may result in a level of measurement uncertainty. This uncertainty is largely due to data sourcing, modelling assumptions, and the different characterization factors used to translate environmental emissions into environmental impacts. Due to this uncertainty, it is not useful to compare the PCF result between products or across different manufacturers.
Study Details:
LCA study conducted by the VDE Testing and Certification Institute, Offenbach Germany. The study uses GaBi Software.
