US automotive industry M&A deals activity in Q1 2022
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Total automotive industry M&A deals worth $6.4bn were announced in the US in Q1 2022, led by Cummins’ $3.7bn acquisition of Meritor, according to GlobalData’s deals database.
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The value marked an increase of 3353.1% over the previous quarter and a rise of 117.6% when compared with the last four-quarter average of $2.96bn.
The US held a 73.18% share of the global automotive industry M&A deal value that totalled $8.8bn in Q1 2022.
In terms of deal activity, the US recorded 35 M&A deals during Q1 2022, marking an increase of 52.17% over the previous quarter and a rise of 68.67% over the last four-quarter average.
US automotive industry M&A deals in Q1 2022: Top deals
The top five automotive industry M&A deals accounted for 100% of the overall value during Q1 2022.
The combined value of the top five automotive M&A deals stood at $6.44bn, against the overall value of $6.4bn recorded for the quarter.
The top five automotive industry M&A deals of Q1 2022 tracked by GlobalData were:
1) Cummins $3.7bn acquisition deal with Meritor
2) The $2.1bn acquisition of GM Cruise by General Motors
3) Cummins $325m acquisition deal with Jacobs Vehicle Systems
4) The $255m acquisition of dlhBOWLES by ABC Technologies
5) ARI Network Services $57.5m acquisition deal with Highline Sale Investor Group
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.
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