data

Accurate Auditable Company Emission Data

Explore real company emissions data to power Scope 3 action. Access reliable, verified emissions data from millions of companies worldwide.

Company Emissions Data Explorer

Take a deep dive into the emissions data we hold on these example companies which you can use to accurately measure and reduce your scope 3 emissions. Included is scope 1, 2 & 3 emissions, climate targets, are they on track for their emissions goals, have their reports be 3rd party assured and of course what initiatives they have signed up to.

Ready to see what data we have for your suppliers?

You've explored sample companies above. Now discover the comprehensive emissions data, sustainability targets, and climate commitments available for your own supplier network.

Check Your Supplier Coverage

Data aggregation to enable climate action

Identify Data

The platform begins by resolving the user's requested entity, using direct identifiers (DUNS, LEI, VAT) or fuzzy matching via S&P Global's database, and aggregates all public and private disclosures.
It web crawls company sites and third party portals monthly, pruning irrelevant documents and ingesting supplier data (e.g., PCF/LCA files) through secure SRM channels or direct uploads.

Normalize Data

Extracted values in diverse units and category labels are standardized against GHG Protocol criteria. An AI powered unit library converts all metrics into kg CO₂e (or kg CO₂e/$), and a category library maps varied terminology to official scopes, flagging non standard entries for manual review.

Enable Action

Emissions are calculated using spend, sector and activity. Uses company disclosures where available, with revenue-based factors where not.

  • Auditable Trails: All source URLs and document mirrors are retained on owned servers.
  • Calculations & Forecasts: Emissions estimates use conservative, disclosure first methodologies, with automated fallbacks to industry factors when supplier data is incomplete. Users can configure portfolio forecasts under different assumptions and assess risk based on supplier commitments.
  • Scores & Benchmarks: Organizations receive transparent, actuals based carbon intensity scores against industry and location benchmarks (e.g., Alphabet's score of 52 out of 100, outperforming 94% of peers).
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Identify Data

The platform begins by resolving the user's requested entity, using direct identifiers (DUNS, LEI, VAT) or fuzzy matching via S&P Global's database, and aggregates all public and private disclosures.

Extract Data

The platform begins by resolving the user's requested entity, using direct identifiers (DUNS, LEI, VAT) or fuzzy matching via S&P Global's database, and aggregates all public and private disclosures.
It web crawls company sites and third party portals monthly, pruning irrelevant documents and ingesting supplier data (e.g., PCF/LCA files) through secure SRM channels or direct uploads.

Normalize Data

Extracted values in diverse units and category labels are standardized against GHG Protocol criteria. An AI powered unit library converts all metrics into kg CO₂e (or kg CO₂e/$), and a category library maps varied terminology to official scopes, flagging non standard entries for manual review.

Validate Data

Normalized data points are cross checked against existing database records and proprietary anomaly signals.
Validation warnings trigger QA level human checks, ensuring both consistency and auditability of the emissions dataset.

Enable Action

Emissions are calculated using spend, sector and activity. Uses company disclosures where available, with revenue-based factors where not.

  • Auditable Trails: All source URLs and document mirrors are retained on owned servers.
  • Calculations & Forecasts: Emissions estimates use conservative, disclosure first methodologies, with automated fallbacks to industry factors when supplier data is incomplete. Users can configure portfolio forecasts under different assumptions and assess risk based on supplier commitments.
  • Scores & Benchmarks: Organizations receive transparent, actuals based carbon intensity scores against industry and location benchmarks (e.g., Alphabet's score of 52 out of 100, outperforming 94% of peers).

No more chasing suppliers for data

We automatically collect and verify emissions data from corporate reports, public databases, and sustainability platforms so you don't have to send a single survey.

Science Based Targets initiative
UN Global Climate Action
CDP (Carbon Disclosure Project)
Corporate Sustainability Reports
Public Databases & APIs
DitchCarbon Platform
Updated daily from live sources

The world's most comprehensive supplier emissions database

Our automated data collection covers millions of companies across every industry and region, delivering the scale and coverage you need for complete supply chain visibility.

2M+

Companies
Global supplier coverage across public and private company emissions records.

150+

Countries
Supplier emissions data coverage across global markets and regions.

70+

Data sources
Public disclosures, reports, registries, and verified datasets.
Powered by industry-standard emissions datasets
Learn more about the Ditch methodology →

Frequently asked questions

Get answers to the questions procurement and sustainability teams ask most often.

Will you help design supplier outreach and define clear allocation/boundary rules?

Yes, our outreach uses a concise template that states exactly what's in/out of scope. Suppliers can submit data however they prefer; we ingest, check, and pass it through to Salesforce.

How heavy is the lift for suppliers, what formats do you accept?

Very light. A supplier can email a file or fill a short form with only an email and the data to share; we accept "any format."

Do you handle PCFs and quality checks (e.g., PACT)?

Yes. We collect PCFs in any format and flag quality issues, including whether submissions pass the PACT framework.

How do you resolve supplier identities (entity resolution)?

We use a commercial entity resolution database and accept multiple identifiers (company name, DUNS, ISIN, LEI, website, or email) to match the right entity.

What data integrity checks do you run?

Extracted data is automatically validated against anomalies and historical patterns; anything that fails automated checks is escalated to analysts before it enters the system.

Can we see original source documents and assurance status?

Yes, every data point is linked to its source (deep linked to the exact page) and shows the level of third party assurance.

How quickly can we achieve coverage?

Example: a recent deployment reached ~60% of a large supplier base within a couple of weeks, and we start from public data to accelerate coverage before targeted outreach.

Check your supplier coverage

Upload your supplier list to see which companies we have emissions data for.