Xingfa Aluminium Holdings Ltd 2020 AR2

The report highlights Xingfa Aluminium's performance in 2020, during which the company achieved a 5.4% increase in revenue to RMB 11,886.9 million and a 6.5% increase in sales volume to 651,721 tonnes. The company actively participated in landmark projects, including providing high-end aluminium profiles for the 2022 Beijing Winter Olympic Games arena and Chengdu Tianfu International Airport. On the sustainability front, the company invested RMB 4.81 million in environmental protection, successfully recovered 1,700.79 tons of aluminum ash, and achieved zero work-related fatalities. Additionally, Xingfa Aluminium implemented various community support initiatives, donating RMB 320,000 for charities and participating in targeted poverty alleviation.

Company: Xingfa Aluminium Holdings Ltd

Sector: Materials

Country: China

Year: 2020

Type: AR2

Pages: 326

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Xingfa Aluminium Holdings Ltd

Xingfa Aluminium Holdings Ltd 2020 Annual Report

Annual Report

The report highlights Xingfa Aluminium's performance in 2020, during which the company achieved a 5.4% increase in revenue to RMB 11,886.9 million and a 6.5% increase in sales volume to 651,721 tonnes. The company actively participated in landmark projects, including providing high-end aluminium profiles for the 2022 Beijing Winter Olympic Games arena and Chengdu Tianfu International Airport. On the sustainability front, the company invested RMB 4.81 million in environmental protection, successfully recovered 1,700.79 tons of aluminum ash, and achieved zero work-related fatalities. Additionally, Xingfa Aluminium implemented various community support initiatives, donating RMB 320,000 for charities and participating in targeted poverty alleviation.

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Document Details

Report Year

2020

Reporting Period

Jan 1, 2020 - Dec 31, 2020

Fiscal Year

2020

Type

Annual Report with Sustainability Disclosures

Language

English, Chinese

Pages

 

File Size

 

Standards & Assurance

Reporting Standards

Materiality Assessment

ESG Data?Experimental — AI-extracted data, may contain inaccuracies

Energy Consumption

Water Consumption

Workplace Fatalities

Employees