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About us
We are Refinitiv
About Refinitiv
Serving more than 40,000 institutions in approximately 190 countries, Refinitiv provides information, insights and technology that drive innovation and performance in global financial markets. Our heritage of integrity enables our customers to make critical decisions with confidence while our best-in-class data and cutting-edge technologies enable greater opportunity.
We enable the financial community to trade smarter and faster, overcome regulatory challenges, and scale intelligently.
Useful links
Key milestones
We're one year young!
What a start to an era. And it’s all thanks to our customers, partners and employees. Thank you for your support.
Solutions for every financial sector
Sustainability
We are at the heart of an ecosystem of change-makers, empowering investors to shift towards sustainable finance initiatives and practices. We call it sustainable leadership.
News
From the press room
Our data
A day at Refinitiv
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40,000+customers around the globe
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400,000+end users in approximately 190 countries
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5,000+investment firms and hedge funds supported
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40 billionmarket updates delivered
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$600 billionin bond trading supported
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7 millionprice updates per second
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$400+ billionin FX trading
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53 billionreal time pricing updates distributed
Values
How we operate
Bold
By combining over 160 years of Reuters heritage with the latest technology and industry innovation, we’re blending our history with the future to create opportunity from change.
Focused
High-performance products are powered by high-performance people. We’re building a culture that values pushing boundaries together and taking ownership and action.
Open
The greatest driver of innovation is freedom of access – to the best data, smart tools and human expertise. That’s why we invest in our community-driven open platform – to break down barriers and create choice.
Shaping the future of data
Refinitiv Labs
Refinitiv™ Labs collaborate with customers around the world to solve big problems and rapidly prototype and validate solutions using data science and lean techniques.
