

Article
Breaking news – Sustainable Finance in June


Article
Breaking news – Sustainable Finance in June
June 2025
What’s new in sustainable finance?
🇫🇷 The AMF assesses the first CSRD reports in France
The French Financial Markets Authority (AMF) will review 20% of the 230 expected sustainability reports this year with a “comprehensive and supportive” approach, given the complexity of the EU's omnibus package. AMF President Marie-Anne Barbat-Layani criticized the CSRD for overregulation, calling instead for a more pragmatic stance while reaffirming the importance of sustainable finance. The AMF aims to provide constructive feedback to support ESRS simplification efforts and warns of the difficult situation for French companies, as France has implemented the directive while others, like Germany, have not; it also stresses the need for EU strategic autonomy in sustainability data.
To read more ⏩️ click here
🐠 3rd UN Ocean Conference in Nice
The UN Ocean Conference (UNOC3) opens this week in Nice, 80 organizations — including 55 companies representing over €600B — have joined forces to accelerate global cooperation for a healthy, sustainable ocean.
UN Secretary-General António Guterres warned the assembly: “Greed is the enemy”, calling on leaders and civil society to resist the forces destroying marine ecosystems.
“We are in Nice for one mission: to save the ocean, to save our future.”
From corporate commitments to scientific collaboration and treaty ratifications, a global coalition is forming to avoid a point of no return.
To read more ⏩ click here
🏦 Banking on Climate Chaos
According to this new report, in 2024, the world’s 65 largest banks poured $869 billion into fossil fuels — $429 billion of it into fossil fuel expansion.
Despite climate pledges, most banks increased their fossil financing, deepening the climate crisis. This report calls for urgent regulation, as voluntary commitments have clearly failed.
To read more ⏩️ click here
🇸🇬Singaporean banks publish their first nature-risk report
Singapore’s major banks (DBS, OCBC, UOB) and the Monetary Authority of Singapore launched a study linking nature-related risks—especially in the palm oil sector—to credit risk. While impacts were found to be limited, upstream players face greater exposure to biodiversity loss and climate-related pressures. The initiative calls for better integration of nature-related risks into financial analysis.
To read more ⏩️ click here
Subscribe to our contents
This content is provided for informational purposes only. The scores, ratings, rankings, metrics and analyses contained herein represent the opinions of Carbon4 Finance as of the date of publication or dissemination and are subject to change without notice. They do not constitute factual guarantees, legal, compliance, investment, financial or other professional advice, nor an offer to buy, sell, or hold any security or financial product. This information is not a substitute for the user’s own judgment and expertise. All information is provided "as is"; Carbon4 Finance does not expressly or implicitly guarantee its accuracy, timeliness, exhaustiveness, merchantability or suitability for any particular purpose. Consequently, Carbon4 Finance accepts no responsibility for any inaccuracies, errors, or omissions, nor for any consequences arising from the use of the information or estimates contained herein. Carbon4 Finance retains all intellectual property rights relating to all information contained herein. This information is intended for the exclusive internal use of the Client. None of such information may be copied or otherwise reproduced, repackaged, further transmitted, transferred, disseminated, redistributed or resold, or stored for subsequent use for any such purpose, in whole or in part, in any form or manner or by any means whatsoever, by any person without Carbon4 Finance’s prior written consent. For the sake of clarity, no information contained herein may be used to develop, improve, train or retrain any software or database including but not limited to, for any artificial intelligence, machine learning or natural language processing software, algorithm or methodology, and/or model.