About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Thomson Reuters’ Enterprise Division Experiences 4% Increase in Revenue for Second Quarter, Bright Spot in Overall Decline

Subscribe to our newsletter

The fortunes of data giant Thomson Reuters’ Enterprise division seem to be continuing to shine as the vendor’s bright spot for revenue growth this year. Last quarter, the division’s revenue increased 3% on the previous year’s figures for the first quarter and, this quarter, the division experienced a 4% revenue growth on the revenues for the second quarter of 2009. However, much like last quarter, the Markets division’s (in which Enterprise sits) overall figures for the quarter are down on the previous year; this time by 3%.

For the overall markets division, looking at geographical trends: Asia declined 1%, while Europe, Middle East and Africa (EMEA) and the Americas declined 3% and 4%, respectively. By market, growth in Enterprise, Corporates and Commodities & Energy was more than offset by weak performance in Exchange Traded Instruments and Investment Management. Second quarter operating profit was US$319 million (down 25%) with the related margin declining to 17.5%.

According to the vendor, the margin decline was attributable to the flow through from lower revenues, investment in new product platforms and a challenging prior year comparison. Excluding the impact of currency, operating profit declined 15%.

As for the Enterprise division in particular, the Enterprise Information segment, comprised of both real-time and historical data, grew 9%. The Risk Management business grew 6%, led by strong outright sales of software. The Platform business (formerly Information Management Systems) also grew 6%, driven by what the vendor terms as good sales of recurring products. Omgeo’s revenues were flat in the quarter. The overall revenue for the Enterprise division was US$326 million for the quarter, compared to last year’s US$314 million.

These figures should be heartening to those working in the newly restructured Enterprise division, most of whom are currently engaged in ensuring the outstanding integration work across Thomson Reuters’ data solutions is completed. The vendor is currently focusing its energies on joining the Enterprise platform up with its various data content sets.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Taming the Private Markets Data Beast: Solving for Valuation, Integration, and Reporting in Alternative Investments

Available On-Demand Institutional activity in private markets has surged as organisations’ traditional investment theses have been upended by global economic volatility, geopolitical instability and fee compression. In their search for better risk-adjusted returns, they have found a rich seam of alpha from private equity and credit, real assets, venture and hedge funds, as well as...

BLOG

AI May Well be a Big Accelerator, But Let’s Not Forget the Destination

By Chris Livesey, chief executive of AutoRek. Across the financial services software landscape, vendors and end-user customers are chasing a new goal, in how fast they can AI-ify or agentify everything that moves to claim unique differentiation and plant a flag for their brand as a market leader. We’ve seen this cycle many times before, for example with internet, cloud...

EVENT

TradingTech Summit London

Now in its 16th year, the TradingTech Summit London brings together senior leadership across capital markets trading technology and market data. Join us to deep dive into key opportunities and challenges driving technological transformation across sell-side and buy-side firms.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...