Total US construction & real estate industry M&A deals in Q4 2018 worth $3.49bn were announced, according to GlobalData’s deals database.
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The value marked a decrease of 87.4% over the previous quarter and a drop of 89.4% when compared with the last four-quarter average of $32.98bn.
The United States held a 10.9% share of the global construction & real estate industry M&A deal value that totalled $31.97bn in Q4 2018.
In terms of deal activity, the United States recorded 158 deals during Q4 2018, marking a rise of 0.6% over the previous quarter and a rise of 8.2% over the last four-quarter average.
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By GlobalDataUS construction & real estate industry M&A deals in Q4 2018: Top deals
The top five construction & real estate industry M&A deals accounted for 63.7% of the overall value during Q4 2018.
The combined value of the top five construction & real estate industry M&A deals stood at $2.22bn, against the overall value of $3.49bn recorded for the quarter. The top announced construction & real estate industry M&A deal tracked by GlobalData in Q4 2018 was Broadview Holding’s $840m acquisition of Formica.
In second place was the $678m merger of Owens Realty Mortgage and Sutherland Asset Management and in third place was ADT’s $317.5m acquisition of Red Hawk Fire & Security.
The $197m acquisition of Petersen Aluminum by Carlisle Construction Materials and D.R. Horton’s acquisition of Westport Homes for $190m held fourth and fifth positions, respectively.
This analysis considers only announced and completed deals from the GlobalData financial deals database and excludes all terminated and rumoured deals. Country and industry are defined according to the headquarters and dominant industry of the target firm.
GlobalData tracks real-time data concerning all merger and acquisition, private equity/venture capital and asset transaction activity around the world from thousands of company websites and other reliable sources.
More in-depth reports and analysis on all reported deals are available for subscribers to GlobalData’s deals database.
