GlobalData offers a comprehensive analysis of QAF , providing key insights into its Environmental, Social, and Governance(ESG) factors. By closely monitoring and aggregating mentions of climate change and associated ESG keywords, GlobalData delivers valuable information on QAF ‘s ESG performance. GlobalData’s company profile on QAF offers a 360-degree view of the company, SWOT analysis, key financials, and business strategy including insights on ESG implementation among other information. Buy the report here.

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QAF , a company in the food industry, is commited to reduce its greenhouse gas (GHG) emissions. QAF has specific goals related to scope 1, scope 2, and scope 3 emissions, which include emissions from its own operations, purchased electricity, and value chain emissions.

In its latest ESG report, QAF has provided data on its scope 1 and scope 2 GHG carbon emissions for the fiscal year 2022. The emissions were calculated in accordance with the GHG Protocol, a global standard for measuring and managing GHG emissions. The company's subsidiaries, Bakers Maison Australia, Gardenia Singapore, and Gardenia Philippines, reported their emissions. The total scope 1 emissions were 22,378 tonnes of CO2e, while the total scope 2 emissions were 24,617 tonnes of CO2e.

QAF has taken several steps to reduce its emissions like it has invested in renewable energy sources, such as solar panels installed on the rooftops of its production facilities. It has also focused on reducing waste and promoting recycling. For example, Bakers Maison Australia recycled approximately 52 tonnes of cardboard and donated edible dough waste to local farmers for animal feed. Gardenia Singapore encouraged consumers to go green by distributing reusable shopping bags and changed to a more environmentally friendly freezer system.

In conclusion, QAF is committed to reducing its GHG emissions for which company has taken steps to reduce emissions, invest in renewable energy, and promote recycling. By implementing these measures, QAF aims to achieve its carbon emission targets and contribute to responsible consumption and production patterns.

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GlobalData’s Company Filings Analytics uses machine learning to uncover key insights and track sentiment across millions of regulatory filings and other corporate disclosures for thousands of companies representing the world’s largest industries. This analysis is combined with crucial details on strategic and investment priorities, innovation strategies, and CXO insights to provide comprehensive company profiles.