Company Profile

TAK LEE MACH

2102 Farm & Heavy Construction Machinery
Description

Tak Lee Machinery Holdings Limited, an investment holding company, engages in the sale and leasing of new and used earthmoving equipment and spare parts in Hong Kong. The company operates through Sales of Heavy Equipment and Spare Parts, Lease of Heavy Equipment, Repair, Logistics, and Other Ancillary Services segments. It also sells and leases heavy equipment, such as excavators, articulated dump trucks, bulldozers, lifting cranes, aerial platforms, rollers, loaders, and hydraulic breakers. In addition, the company distributes diesel engine generators; machine safety and control systems for height and slew control; and Mobile360 surround view and safety system technology products. Further, it provides maintenance and ancillary services; logistic services; and motor vehicle services. Additionally, the company offers warehouse, after-sales, and in-house management support services; leases lands; provides operator and logistics services. Tak Lee Machinery Holdings Limited sells various products under the Airman, Hitachi, Bell, Ammann, LaBounty, Hyundai, Rotobec, VIA, and Xwatch Safety Solutions brand names. The company was founded in 2001 and is headquartered in Yuen Long, Hong Kong. Tak Lee Machinery Holdings Limited is a subsidiary of Generous Way Limited.

Reports

This company has 5 ESG reports available.

ESG Performance Overview

Select a KPI indicator to view performance trend

KPI Indicators

A1.1 Emission Types and Data
45 Data Points
Indicator Data Points Actions
SOₓ Emissions 15
NOₓ Emissions 15
Airborne Particulate Matter (PM) Emissions 15
A1.2 Direct (Scope 1) and Indirect (Scope 2) GHG Emissions
75 Data Points
Indicator Data Points Actions
Total GHG Emissions Intensity (By Revenue) 15
Total GHG Emissions Intensity (By FTE) 15
Total GHG Emissions 15
Direct GHG Emissions (Scope 1) 15
Indirect Energy Emissions (Scope 2) 15
A1.4 Non-Hazardous Waste
36 Data Points
Indicator Data Points Actions
Non-Hazardous Waste Recycled 12
Non-Hazardous Waste Disposed 4
Paper Waste 8
Total Non-Hazardous Waste Intensity (By Revenue) 6
Total Non-Hazardous Waste Intensity (By FTE) 6
A1.5 Emission Targets
1 Data Points
Indicator Data Points Actions
GHG Emissions Reduction Compared to Last Year 1
A1.5: Emission targets
1 Data Points
Indicator Data Points Actions
Reduction in GHG Intensity Compared to Last Year (By Revenue) 1

A2.1 Energy Consumption
105 Data Points
Indicator Data Points Actions
Energy Consumption Intensity (By Revenue) 15
Total Electricity Consumption Intensity (By Revenue) 3
Energy Consumption Intensity (By FTE) 15
Total Electricity Consumption Intensity (By FTE) 3
Total Energy Consumption 15
Total Non-Renewable Fuel Consumption 9
Diesel Fuel Consumption 15
Fossil Fuel Consumption 3
Renewable Energy Consumption 3
Solar Energy 3
Total Indirect Energy Consumption 6
Purchased Electricity 15
A2.2 Water Consumption
49 Data Points
Indicator Data Points Actions
Total Water Withdrawal 17
Water Consumption 5
Water Consumption Intensity (By Revenue) 15
Water Withdrawal Intensity 12
A2.3 Energy Use Efficiency Targets
2 Data Points
Indicator Data Points Actions
Electricity Usage Reduction Compared to Last Year 1
Target Electricity Usage Reduction Percentage by 2025 Compared to 2023 1
A2.5 Total Packaging Material Used
6 Data Points
Indicator Data Points Actions
Packaging Materials Consumed 2
Packaging Material Intensity (By Unit Product) 1
Packaging Material Consumption (Paper) 3

B1.2 Employee Turnover Rate
71 Data Points
Indicator Data Points Actions
Turnover Rate of Female Employees 11
Turnover Rate of Male Employees 11
Turnover Rate of Employees Aged Below 30 12
Turnover Rate of Employees Aged 30-50 12
Turnover Rate of Employees Aged Above 50 11
Turnover Rate of Total Employees 14

B2.1 Number and Rate of Work-related Fatalities
23 Data Points
Indicator Data Points Actions
Number of Work-related Fatalities 10
Number of Fatalities as a Result of Work-related Injuries 7
Number of Fatalities of the Last 3 Years 6
B2.2 Lost Days Due to Work Injury
7 Data Points
Indicator Data Points Actions
Lost Days Due to Work-related Injuries 7

B3.1 The Percentage of Employees Trained
48 Data Points
Indicator Data Points Actions
Percentage of Employees Trained 10
Percentage of Trained Male Employees 10
Percentage of Trained Female Employees 10
Percentage of Trained Senior Management 3
Percentage of Trained General Employees 3
Percentage of Trained Operational Employees 4
Percentage of Trained Administrative Employees 4
Percentage of Trained Technical Employees 4
B3.2 Average Training Hours Completed per Employee
69 Data Points
Indicator Data Points Actions
Average Training Hours (Administrative Employees) 6
Average Training Hours (Operational Employees) 6
Total Training Hours 4
Average Training Hours per Employee 9
Average Training Hours (Male) 13
Average Training Hours (Female) 13
Average Training Hours (Technical Employees) 6
Average Training Hours (Executive Employees) 3
Average Training Hours (Marketing & Customer Service) 6
Average Training Hours (Director and Above) 3

B6.1 Products Recalled
4 Data Points
Indicator Data Points Actions
Percentage of Recalled Products for Safety and Health Reasons 4
B6.2 Products Complaints
4 Data Points
Indicator Data Points Actions
Number of Products and Service Related Complaints 4

B7.1 Confirmed Incidents of Corruption
2 Data Points
Indicator Data Points Actions
Number of Concluded Corruption Lawsuits 1
Number of Corruption Litigation 1

General
8 Data Points
Indicator Data Points Actions
Non-Hazardous Waste Collected for Further Handling 1
Target Reduction in GHG Intensity Percentage by 2025 Compared to 2017/2018 1
Petroleum Consumption 6