Automatic Data Processing Inc

Common Name
Automatic Data Processing
Country
United States
Sector
Technology
Industry
Software - Application
Employees
67,000
Ticker
ADP
Exchange
NASDAQ/NGS
Description
Automatic Data Processing, Inc. is a leading provider of cloud-based human capital management solutions and services. Established in 1949 and headquartered in Roseland, New Jersey, the company special...

Automatic Data Processing's Climate Target Data Preview

As of 2023, Automatic Data Processing has disclosed 2 climate targets aimed at reducing its greenhouse gas (GHG) emissions. These include 2 absolute reduction targets, signaling the company’s commitment to managing and lowering its carbon footprint over time. The targets span various emissions scopes and time horizons, offering insight into Automatic Data Processing ’s climate strategy, ambition level, and alignment with global decarbonization goals.

Target TypeScope of TargetUnitTargetTarget Year
Absolute-based Target
Scope 1 - Total, Scope 2 - Total
Metric Tonnes of CO2 equivalent (mtCO2e)
Copy restricted. Please purchase to unlock this data.
a
2025
Absolute-based Target
Scope 1 - Total, Scope 2 - Total
Metric Tonnes of CO2 equivalent (mtCO2e)
Copy restricted. Please purchase to unlock this data.
a
2030
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Verified Sources Behind Automatic Data Processing’s Climate Targets Data

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a. Automatic Data Processing's CSR Report 2023
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Insights into Automatic Data Processing's Greenhouse Gas Emissions Pathways

As of 2023, Automatic Data Processing has set greenhouse gas (GHG) emissions reduction targets that cover its operational emissions (Scope 1 and 2), but not its value chain emissions (Scope 3). This means its reduction efforts currently focus on direct and purchased energy emissions. a

Does Automatic Data Processing have a target to reduce the emissions from its operations?

As of 2023, Automatic Data Processing has set a target to reduce its operational greenhouse gas (GHG) emissions, specifically those from Scope 1 and Scope 2 sources. a

Automatic Data Processing's most ambitious operational target is to reduce these emissions by 50% by 2030, compared to a baseline of 105,231 Metric Tonnes of CO2 equivalent (mtCO2e) in 2019. a

As of 2022, Automatic Data Processing is ahead of schedule on its operational emissions reduction target, having achieved 42% of the planned reduction. a

Automatic Data Processing's Operational (Scope 1+2) Emissions Pathway

2019202220252030030 k60 k90 k120 kBaselineCurrent (-21%)Target 2030 (-50%)
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