
Total financial services industry M&A deals in August 2020 worth $1.95bn were announced in the US, according to GlobalData’s deals database.
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The value marked a decrease of 65.5% over the previous month and a drop of 72.6% when compared with the last 12-month average of $7.11bn.
The US held a 19.2% share of the global financial services industry M&A deal value that totalled $10.13bn in August 2020.
In terms of deal activity, the US recorded 69 deals during August 2020, marking a decrease of 5.5% over the previous month and a drop of 2.8% over the 12-month average.

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By GlobalDataThe US financial services industry M&A deals in August 2020: Top deals
The top five financial services industry M&A deals accounted for 91.9% of the overall value during August 2020.
The combined value of the top five financial services M&A deals stood at $1.79bn, against the overall value of $1.95bn recorded for the month.
The top five financial services industry deals of August 2020 tracked by GlobalData were:
1) The merger of FinTech AcquisitionIII and Paya for $1.3bn
2) The $156m acquisition of Seacoast Commerce Banc Holding by Enterprise Financial Services
3) FTX Trading’s $150m acquisition of Blockfolio
4) The $100.4m acquisition of Bay Banks of Virginia by Blue Ridge Bankshares
5) The merger of CF Finance Acquisition and GCM Grosvenor for $85.87m.
Verdict deals analysis methodology
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. The term ‘acquisition’ refers to both completed deals and those in the bidding stage.
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.