Company Profile
WHARF HOLDINGS
Description
Founded in 1886 as the 17th company registered in Hong Kong, The Wharf (Holdings) Limited (Stock Code: 0004) is a premier company with strong connection to the history of Hong Kong. As one of the 30 constituent stocks in the original Hang Seng Index from the 1960s, Wharf is backed by a long standing mission of Building for Tomorrow and a proven track record in management and execution. After spinning off Wharf Real Estate Investment Company Limited as a separately-listed company (Stock Code: 1997) in 2017, the Group's businesses currently comprise Investment Properties, Hotels and Development Properties in Hong Kong and Mainland China. Other businesses include Logistics Infrastructure through Modern Terminals and Hong Kong Air Cargo Terminals. The Group's exclusive Peak Portfolio, comprising a rare collection of unique properties, continues to feature the highest bespoke quality and craftsmanship catering to the demands of a discerning clientele that does not buy in off plans presale. The development profile is characterised by attention to details, generous development cost, long payback period and high capital intensity. In Mainland Investment Properties, starting from a small nascent base some 20 years ago, the Group's proactive efforts are beginning to bear fruit in order to realise plans to generate a proper return over the next 20 to 30 years remaining on the majority of the underlying land leases. However, market dynamics have changed and competition has significantly stiffened. The Mainland Development Properties land bank at the end of June 2022 was 1.94 million square metres. Strict price control and other regulatory policies have depressed selling prices and increased investment risk. The Group has become more selective with new land acquisition. At the same time, the Group's land bank has been marked to market, which is however still undergoing correction. Wharf Hotels manages 16 hotels, with over 5,000 rooms and suites, in Mainland China, Hong Kong and the Philippines. Niccolo Suzhou, opened in April 2021, was the fifth addition to the luxury Niccolo Hotels brand, with the other 11 hotels under the foundation Marco Polo Hotels brand. The Group owns three of these hotels and a fourth through a 50/50 joint venture. The Group also owns and operates Modern Terminals and is a founding partner in Hong Kong Air Cargo Terminals, key components in Hong Kong's success as an international trade and transportation hub for decades. Building for Tomorrow also extends to Wharf's Business-in-Community (BIC) commitment. Flagship school improvement programme Project WeCan grows from strength to strength along with a series of BIC initiatives, with an aim of helping different segments of society in Hong Kong and the Mainland.
Reports
This company has 9 ESG reports available.
ESG Performance Overview
Select a KPI indicator to view performance trend
KPI Indicators
A1.1 Emission Types and Data
36 Data PointsIndicator | Data Points | Actions |
---|---|---|
SOₓ Emissions | 12 | |
NOₓ Emissions | 12 | |
Airborne Particulate Matter (PM) Emissions | 12 |
A1.2 Direct (Scope 1) and Indirect (Scope 2) GHG Emissions
162 Data PointsIndicator | Data Points | Actions |
---|---|---|
Scope 3 GHG Emissions (Fuel and Energy-related Activities (Not Included in Scope 1 or Scope 2)) | 1 | |
Total GHG Emissions Intensity (By Employee) | 20 | |
Total GHG Emissions Intensity (By Area) | 10 | |
Total GHG Emissions Intensity (By Revenue) | 20 | |
Total GHG Emissions Intensity (By Container Volume) | 11 | |
Total GHG Emissions Intensity (By Unit Product) | 1 | |
Total GHG Emissions | 25 | |
Direct GHG Emissions (Scope 1) | 26 | |
Indirect Energy Emissions (Scope 2) | 26 | |
Total Other Indirect Energy Emissions (Scope 3) | 20 | |
Scope 3 GHG Emissions (Purchased Goods/Services) | 1 | |
Scope 3 GHG Emissions (Capital Goods) | 1 |
A1.3 Hazardous Waste
23 Data PointsIndicator | Data Points | Actions |
---|---|---|
Hazardous Waste Recycled | 5 | |
Hazardous Waste (Solid Waste) | 3 | |
Hazardous Waste (Liquid Waste) | 3 | |
Hazardous Waste Incineration | 1 | |
Hazardous Electronic Waste | 4 | |
Hazardous Waste (Used Batteries) | 2 | |
Total Hazardous Waste | 5 |
A1.4 Non-Hazardous Waste
132 Data PointsIndicator | Data Points | Actions |
---|---|---|
Non-Hazardous Waste Incineration | 9 | |
Non-Hazardous Waste Landfilling | 22 | |
Non-Hazardous Waste Recycled | 20 | |
Diversion Rate of Non-Hazardous Waste | 3 | |
Recycling Rate of Non-Hazardous Waste | 5 | |
Paper Waste | 20 | |
Plastic Waste | 10 | |
Glass Waste | 19 | |
Non-Hazardous Waste (Construction Waste) | 5 | |
Non-Hazardous Waste (Kitchen Waste) | 13 | |
Non-Hazardous Waste (Electronic Waste) | 6 |
A1.5 Emission Targets
5 Data PointsIndicator | Data Points | Actions |
---|---|---|
GHG Emissions Reduction Compared to Last Year | 2 | |
CO2 Emissions Reduction Compared to Last Year | 3 |
A1.5: Emission targets
1 Data PointsIndicator | Data Points | Actions |
---|---|---|
Reduction in GHG Intensity Compared to Last Year (By Unit Product) | 1 |
A1.6 Hazardous and Non-Hazardous Waste Targets
8 Data PointsIndicator | Data Points | Actions |
---|---|---|
Plastic Waste Reduction Compared to Last Year | 6 | |
Hazardous Waste Intensity Reduction Percentage Compared to Last Year | 2 |
A1.6: Hazardous and Non-Hazardous Waste Targets
6 Data PointsIndicator | Data Points | Actions |
---|---|---|
Plastic Waste Reduction Percentage Compared to Last Year | 6 |
A2.1 Energy Consumption
258 Data PointsIndicator | Data Points | Actions |
---|---|---|
Energy Consumption Intensity (By Revenue) | 20 | |
Energy Consumption Intensity (By Employee) | 20 | |
Energy Consumption Intensity (By Area) | 25 | |
Energy Consumption Intensity (By Unit Product) | 20 | |
Total Energy Consumption | 25 | |
Gasoline Consumption | 24 | |
Diesel Fuel Consumption | 24 | |
Natural Gas Consumption | 21 | |
LPG Consumption | 24 | |
Renewable Energy Consumption | 6 | |
Solar Energy | 6 | |
Hydropower Energy | 3 | |
Purchased Electricity | 24 | |
Purchased Heating | 3 | |
Purchased Steam | 13 |
A2.1: Energy Consumption
3 Data PointsIndicator | Data Points | Actions |
---|---|---|
Percentage of Renewable Energy Consumption | 3 |
A2.2 Water Consumption
127 Data PointsIndicator | Data Points | Actions |
---|---|---|
Total Water Withdrawal | 9 | |
Groundwater Withdrawal | 17 | |
Total Wastewater Discharge | 9 | |
Water Consumption | 13 | |
Groundwater Consumption | 5 | |
Municipal Water Consumption | 23 | |
Recycled Water Usage | 22 | |
Recycled Water Percentage | 3 | |
Water Consumption Intensity (By Revenue) | 20 | |
Water Withdrawal Intensity | 6 |
A2.3 Energy Use Efficiency Targets
9 Data PointsIndicator | Data Points | Actions |
---|---|---|
Energy Consumption Reduction Compared to Last Year | 1 | |
Electricity Usage Reduction Compared to Last Year | 8 |
A2.4 Water Efficiency Targets
4 Data PointsIndicator | Data Points | Actions |
---|---|---|
Water Consumption Reduction Percentage Compared to Last Year | 1 | |
Water Consumption Reduction Compared to Last Year | 3 |
A2.5 Total Packaging Material Used
5 Data PointsIndicator | Data Points | Actions |
---|---|---|
Packaging Material Consumption (Plastic) | 3 | |
Usage of Packaging Materials (Wood) | 2 |
A3.1 Significant Impacts of Activities on the Environment and Natural Resources
1 Data PointsIndicator | Data Points | Actions |
---|---|---|
Total Investment in Ecological Restoration | 1 |
B1.1 Amount and Distribution of Workforce
458 Data PointsIndicator | Data Points | Actions |
---|---|---|
Number of Total Employees | 15 | |
Number of Male Employees | 15 | |
Number of Female Employees | 15 | |
Percentage of Male Employees | 13 | |
Percentage of Female Employees | 13 | |
Number of Full-time Employees | 15 | |
Number of Part-time Employees | 15 | |
Number of Temporary Workers | 15 | |
Percentage of Full-time Employees | 12 | |
Percentage of Part-time Employees | 12 | |
Percentage of Temporary Workers | 12 | |
Number of Employees Aged Below 30 | 12 | |
Number of Employees Aged 30-50 | 12 | |
Number of Employees Aged Above 50 | 12 | |
Percentage of Employees Aged Below 30 | 10 | |
Percentage of Employees Aged 30-50 | 10 | |
Percentage of Employees Aged Above 50 | 10 | |
Number of Employees in Hong Kong | 9 | |
Number of Employees in Mainland China | 9 | |
Number of Employees in Hong Kong and Mainland China | 9 | |
Number of Employees in Overseas | 1 | |
Percentage of Employees in Hong Kong | 6 | |
Percentage of Employees in Mainland China | 6 | |
Percentage of Employees in Hong Kong and Mainland China | 3 | |
Percentage of Employees in Overseas | 1 | |
Number of Senior Management Employees | 3 | |
Number of Middle Management Employees | 3 | |
Number of General Employees | 3 | |
Percentage of Senior Management Employees | 1 | |
Percentage of Middle Management Employees | 1 | |
Percentage of General Employees | 1 | |
Number of New Employees | 15 | |
Percentage of New Employees | 10 | |
Number of New Employees (Male) | 15 | |
Number of New Employees (Female) | 15 | |
Number of New Employees (Mainland China) | 12 | |
Number of New Employees (Hong Kong) | 12 | |
Number of New Employees (Overseas) | 1 | |
Number of New Employees (Aged Below 30) | 12 | |
Number of New Employees (Aged 30-50) | 12 | |
Number of New Employees (Above 50) | 10 | |
Number of New Employees (Senior Management) | 2 | |
Number of New Employees (Middle Management) | 2 | |
Number of Full-time Employees (Male) | 6 | |
Number of Part-time Employees (Male) | 4 | |
Number of Temporary Workers (Male) | 2 | |
Number of Full-time Employees (Female) | 6 | |
Number of Part-time Employees (Female) | 3 | |
Number of Temporary Workers (Female) | 2 | |
Number of Senior Management Employees (Male) | 4 | |
Number of Middle Management Employees (Male) | 4 | |
Number of General Employees(Male) | 3 | |
Number of Senior Management Employees (Female) | 4 | |
Number of Middle Management Employees (Female) | 4 | |
Number of General Employees (Female) | 4 | |
Number of Employees in Hong Kong (Male) | 5 | |
Number of Employees in Mainland China (Male) | 5 | |
Number of Employees in Hong Kong (Female) | 5 | |
Number of Employees in Mainland China (Female) | 5 |
B1.2 Employee Turnover Rate
118 Data PointsIndicator | Data Points | Actions |
---|---|---|
Turnover Rate of Female Employees | 13 | |
Turnover Rate of Male Employees | 13 | |
Turnover Rate of Employees Aged Below 30 | 14 | |
Turnover Rate of Employees Aged 30-50 | 14 | |
Turnover Rate of Employees Aged Above 50 | 12 | |
Turnover Rate of Employees in Hong Kong | 8 | |
Turnover Rate of Employees in Mainland China | 8 | |
Turnover Rate of Employees in Hong Kong and Mainland China | 5 | |
Turnover Rate of Total Employees | 9 | |
Turnover Rate of Employees in Overseas | 1 | |
Turnover Rate of Senior Management Employees | 2 | |
Turnover Rate of Middle Management Employees | 2 | |
Turnover Rate of General Employees | 2 | |
Percentage of Employees still Employed 12 Months after Return to Work | 5 | |
Percentage of Employees still Employed 12 Months after Return to Work (Male) | 5 | |
Percentage of Employees still Employed 12 Months after Return to Work (Female) | 5 |
B2.1 Number and Rate of Work-related Fatalities
21 Data PointsIndicator | Data Points | Actions |
---|---|---|
Number of Work-related Fatalities | 8 | |
Number of Fatalities as a Result of Work-related Injuries | 4 | |
Number of Work-related Fatalities (Mainland) | 3 | |
Number of Work-related Fatalities (Hong Kong) | 3 | |
Number of Fatalities of the Last 3 Years | 3 |
B2.2 Lost Days Due to Work Injury
63 Data PointsIndicator | Data Points | Actions |
---|---|---|
Lost Days Due to Work-related Injuries (Hong Kong) | 15 | |
Lost Days Due to Work-related Injuries (Mainland China) | 15 | |
Lost Days Due to Work-related Injuries (Overseas) | 1 | |
Rate of Work-related Injuries | 4 | |
Lost Time Injury Frequency Rate (LTIFR/LTIR) | 3 | |
Lost Time Injury Frequency Rate (Hong Kong) | 3 | |
Lost Time Injury Frequency Rate (Mainland China) | 3 | |
Lost Days Due to Work-related Injuries | 19 |
B2.3 Occupational Health and Safety Measures Adopted
2 Data PointsIndicator | Data Points | Actions |
---|---|---|
Total Hours of Safety Training for Employees | 2 |
B3.1 The Percentage of Employees Trained
83 Data PointsIndicator | Data Points | Actions |
---|---|---|
Percentage of Employees Trained | 10 | |
Percentage of Trained Male Employees | 10 | |
Percentage of Trained Female Employees | 10 | |
Percentage of Trained Employees Under 30 | 1 | |
Percentage of Trained Employees Aged 30-50 | 1 | |
Percentage of Trained Employees Over 50 | 1 | |
Percentage of Trained Mainland China Employees | 10 | |
Percentage of Trained Hong Kong Employees | 10 | |
Percentage of Trained Senior Management | 10 | |
Percentage of Trained Middle Management | 10 | |
Percentage of Trained General Employees | 10 |
B3.2 Average Training Hours Completed per Employee
171 Data PointsIndicator | Data Points | Actions |
---|---|---|
Total Training Hours | 5 | |
Average Training Hours per Employee | 22 | |
Average Training Hours (Male) | 22 | |
Average Training Hours (Female) | 22 | |
Average Training Hours (Senior Management) | 22 | |
Average Training Hours (Middle Management) | 22 | |
Average Training Hours (General Staff) | 22 | |
Average Training Hours (Employees Under 30) | 5 | |
Average Training Hours (Employees Aged 30-50) | 5 | |
Average Training Hours (Employees Over 50) | 5 | |
Average Training Hours (Mainland China Employees) | 8 | |
Average Training Hours (Hong Kong Employees) | 8 | |
Average Training Hours (General Employees) | 2 | |
Training Hours of Anti-corruption | 1 |
B5.1 Number of Suppliers by Geographical Region
12 Data PointsIndicator | Data Points | Actions |
---|---|---|
Number of Total Suppliers | 2 | |
Number of Suppliers in Mainland China | 4 | |
Number of Suppliers in Hong Kong | 4 | |
Number of Suppliers in Overseas | 1 | |
Proportion of Spending on Local Suppliers | 1 |
B5.3 Supply Chain Risk Identification & Monitoring
2 Data PointsIndicator | Data Points | Actions |
---|---|---|
Number of Suppliers Participated in Sustainability Risk Assessment | 2 |
B6.1 Products Recalled
8 Data PointsIndicator | Data Points | Actions |
---|---|---|
Percentage of Recalled Products for Safety and Health Reasons | 3 | |
Number of Recalled Products for Safety and Health Reasons | 5 |
B6.2 Products Complaints
2 Data PointsIndicator | Data Points | Actions |
---|---|---|
Total Number of Customer Complaints | 2 |
B6.5 Consumer Data Protection and Privacy Policies
7 Data PointsIndicator | Data Points | Actions |
---|---|---|
Number of Customer Privacy Related Complaints | 4 | |
Number of Customer Privacy Leakage Incident | 3 |
B7.1 Confirmed Incidents of Corruption
9 Data PointsIndicator | Data Points | Actions |
---|---|---|
Number of Confirmed Incidents of Corruption | 7 | |
Number of Concluded Corruption Lawsuits | 1 | |
Number of Corruption Litigation | 1 |
General
4 Data PointsIndicator | Data Points | Actions |
---|---|---|
Number of General Employees (Male) | 1 | |
Paper consumption reduction at DP | 1 | |
Revenue | 1 | |
Financial assistance received from government | 1 |
ESG Reports
Year | Report Title | Publication Date | Raw KPIs | Standard KPIs | Processed | Actions |
---|---|---|---|---|---|---|
2024 | Sustainability Report 2024 | 2025-04-10 | 1124 | 228 | Yes | |
2023 | Sustainability Report 2023 | 2024-04-10 | 738 | 243 | Yes | |
2022 | Sustainability Report 2022 | 2023-04-04 | 888 | 208 | Yes | |
2021 | Sustainability Report 2021 | 2022-05-27 | 850 | 267 | Yes | |
2020 | Sustainability Report 2020 | 2021-05-26 | 550 | 165 | Yes | |
2019 | Sustainability Report 2019 | 2020-05-15 | 646 | 209 | Yes | |
2018 | Sustainability Report 2018 | 2019-07-02 | 848 | 168 | Yes | |
2017 | Sustainability Report 2017 | 2018-06-29 | 841 | 126 | Yes | |
2016 | Corporate Social Responsibility Report 2016 | 2017-06-29 | 1247 | 126 | Yes |