
GlobalData, a leading data and analytics company, has revealed its league tables for the top ten financial advisers by value and volume in the construction sector for Q1-Q3 2022.
A total of 3,203 merger and acquisition (M&A) deals worth $310.2bn were announced in the sector during the period.
Top advisers by value and volume
According to GlobalData’s ‘Global and Construction M&A Report Financial Adviser League Tables Q1-Q3 2022’, JP Morgan and Rothschild & Co emerged as the top M&A advisers in the sector during the period by deal value and volume, respectively.
JP Morgan advised on $123.7bn worth of deals while Rothschild & Co advised on a total of 26 deals.
GlobalData lead analyst Aurojyoti Bose said: “Despite experiencing an 18.8% year-on-year decline in deals volume during Q1-Q3 2022, Rothschild & Co was the only firm that advised on more than 20 deals. Similarly, JP Morgan, which led by value, also suffered a 35.7% decline in deal volume but registered an 8.5% growth in total deal value, suggesting that the firm was involved in several big-ticket deals during Q1-Q3 2022. JP Morgan managed to advise on 13 billion-dollar deals, some of which were ‘mega deals’ valued at more than $10bn.”
As per GlobalData’s financial deals database, Goldman Sachs took the second spot in the value table with $117.1bn worth of deals, followed by Citi with $93.8bn,the Bank of America with $80bn, and Morgan Stanley with $55.5bn.
In terms of volume, JP Morgan took the second place with 18 deals, followed by PwC with 17 deals, Goldman Sachs with 16 deals, and Clearwater International with 15 deals.
GlobalData’s league tables are based on the real-time tracking of thousands of company websites, advisory firm websites, and other reliable sources available on the secondary domain. A dedicated team of analysts monitors all these sources to gather in-depth details for each deal, including adviser names.
To ensure further robustness to the data, the company also seeks submissions from leading advisers, through adviser submission forms on GlobalData’s website.