S&P Capital IQ has more than doubled its coverage of private company data in Western Europe and North America following a deal with Dun & Bradstreet to provide raw data that is then cleaned and checked for integrity by S&P Capital IQ. While S&P Capital IQ has offered some private company information for a couple of years, the extended content will be integrated into its near real-time enterprise data feed Xpressfeed – private company data was not previously in the feed – and also into its desktop solution.
Private companies included in the service are those with minimum annual revenue of $5 million, a slice of the market that will include hundreds of thousands of companies. S&P Capital IQ has started to add private company data to the feed, but will continue to cleanse and process more with the intention of completing coverage of Western Europe and North America by the end of this year. S&P Capital IQ says the data will fill a gap in the market, increase transparency on private companies and be trustworthy and traceable, matching the quality of all the other data it provides to the market.
The private company data can be sliced and diced in many ways and take up is expected to be among risk managers quantifying risk exposures, private equity analysts and corporate finance team researching investments and merger and acquisition targets, and commercial lenders examining creditworthiness.
Commenting on the new data, Silvina Aldeco-Martinez, managing director, market development, S&P Capital IQ, says: “With distressed markets leading to uncertain valuations and heightened risk exposures, the need for independent, timely data and in-house company analysis is more pressing than ever. This initiative will provide decision-making support on private companies to those that need it most.”
The company’s move to add private company data to Xpressfeed follows the addition of Standard & Poor’s credit ratings to the feed back in June and the introduction in May of CRM Data Suite, a data solution for customer relationship management.