Company Profile

BENG SOON MACH

1987 Engineering & Construction
Description

Beng Soon Machinery Holdings Limited, investment holding company, provides demolition services to public and private sector clients in Singapore. The company undertakes demolition works of various industrial buildings, power stations, chemical plants, high rise commercial and educational institutions, residential properties, bridges and marine structures, public roads, and infrastructures. It also engages in the sale of inventories and leasing of machinery; and trading of minerals and ore. Beng Soon Machinery Holdings Limited was founded in 1979 and is headquartered in Singapore.

Reports

This company has 6 ESG reports available.

ESG Performance Overview

Select a KPI indicator to view performance trend

KPI Indicators

A1.1 Emission Types and Data
26 Data Points
Indicator Data Points Actions
SOₓ Emissions 10
NOₓ Emissions 10
Airborne Particulate Matter (PM) Emissions 6
A1.2 Direct (Scope 1) and Indirect (Scope 2) GHG Emissions
84 Data Points
Indicator Data Points Actions
Scope 3 GHG Emissions (Business Travel) 7
Total GHG Emissions Intensity (By Employee) 8
Total GHG Emissions Intensity (By Area) 3
Total GHG Emissions 11
Direct GHG Emissions (Scope 1) 11
Mobile Combustion Emissions 11
Stationary Combustion Emissions 11
Indirect Energy Emissions (Scope 2) 11
GHG Emissions from Purchased Electricity 11
A1.3 Hazardous Waste
20 Data Points
Indicator Data Points Actions
Total Hazardous Waste Intensity (By Employee) 9
Total Hazardous Waste 11
A1.4 Non-Hazardous Waste
10 Data Points
Indicator Data Points Actions
Non-Hazardous Waste Disposed 3
Total Non-Hazardous Waste Intensity (By Employee) 7

A2.1 Energy Consumption
34 Data Points
Indicator Data Points Actions
Energy Consumption Intensity (By Employee) 6
Total Energy Consumption 6
Total Direct Energy Consumption 2
Total Non-Renewable Fuel Consumption 2
Diesel Fuel Consumption 6
Total Indirect Energy Consumption 2
Total Purchased Energy 2
Purchased Electricity 6
Grid Electricity Consumption 2
A2.2 Water Consumption
6 Data Points
Indicator Data Points Actions
Water Consumption 6
A2.5 Total Packaging Material Used
1 Data Points
Indicator Data Points Actions
Packaging Materials Consumed 1

B1.1 Amount and Distribution of Workforce
86 Data Points
Indicator Data Points Actions
Number of Total Employees 4
Number of Male Employees 4
Number of Female Employees 4
Percentage of Male Employees 4
Percentage of Female Employees 4
Number of Full-time Employees 3
Percentage of Full-time Employees 3
Number of Employees Aged Below 30 4
Number of Employees Aged 30-50 4
Number of Employees Aged Above 50 4
Percentage of Employees Aged Below 30 4
Percentage of Employees Aged 30-50 4
Percentage of Employees Aged Above 50 4
Number of Employees in Overseas 1
Number of Employees in Asia 2
Number of Employees in Singapore 4
Percentage of Employees in Asia 2
Percentage of Employees in Singapore 3
Number of Senior Management Employees 4
Number of Middle Management Employees 4
Number of General Employees 4
Percentage of Senior Management Employees 4
Percentage of Middle Management Employees 4
Percentage of General Employees 4
B1.2 Employee Turnover Rate
27 Data Points
Indicator Data Points Actions
Turnover Rate of Female Employees 4
Turnover Rate of Male Employees 4
Turnover Rate of Employees Aged Below 30 4
Turnover Rate of Employees Aged 30-50 4
Turnover Rate of Employees Aged Above 50 4
Turnover Rate of Total Employees 3
Turnover Rate of Employees in Singapore 4

B2.1 Number and Rate of Work-related Fatalities
16 Data Points
Indicator Data Points Actions
Number of Work-related Fatalities 6
Number of Fatalities as a Result of Work-related Injuries 9
Number of Fatalities of the Last 3 Years 1
B2.2 Lost Days Due to Work Injury
9 Data Points
Indicator Data Points Actions
Lost Days Due to Work-related Injuries 9

B3.1 The Percentage of Employees Trained
19 Data Points
Indicator Data Points Actions
Percentage of Employees Trained 3
Percentage of Trained Male Employees 3
Percentage of Trained Female Employees 3
Percentage of Trained Senior Management 3
Percentage of Trained Middle Management 3
Percentage of Trained General Employees 3
Percentage of Trained Executive Employees 1
B3.2 Average Training Hours Completed per Employee
16 Data Points
Indicator Data Points Actions
Average Training Hours per Employee 3
Average Training Hours (Male) 3
Average Training Hours (Female) 3
Average Training Hours (Senior Management) 2
Average Training Hours (Middle Management) 3
Average Training Hours (General Staff) 2

General
2 Data Points
Indicator Data Points Actions
Total Non-Hazardous Waste 2