Quanta lifts annual forecast, buys Dynamic Systems in $1.35 bln deal

Reuters
Jul 31
Quanta lifts annual forecast, buys Dynamic Systems in $1.35 bln deal

July 31 (Reuters) - Infrastructure solutions provider Quanta Services PWR.N raised its annual results forecast on Thursday and said it has acquired peer Dynamic Systems in a deal valued at about $1.35 billion.

The deal, which closed on July 25, was financed through $1.15 billion in cash and roughly $200 million in Quanta's common stock.

"Dynamic Systems operates in growing end-markets, has a strong and visible opportunity pipeline and an accretive contribution to Quanta's growth, cash flow conversion, returns and earnings per share," Quanta CEO Duke Austin said.

Quanta provides infrastructure services for the utility, renewable energy, technology, communications, pipeline, and energy industries.

Separately, the company forecast annual revenue of between $27.4 billion and $27.9 billion, higher than its previous forecast of $26.7 billion to $27.2 billion.

It now expects adjusted earnings for full-year 2025 to range between $10.28 and $10.88 per share, up from its prior view of $10.05 and $10.65 per share.

The upbeat forecasts come as Quanta benefits from increasing power demand in the U.S. resulting from the data center boom, aging power grids and electrification.

The company also reiterated risks to project timing and execution due to trade policy changes, macroeconomic challenges, extreme weather, regulatory issues and supply chain snags.

However, the terms of Quanta's existing contracts limit the company's exposure to direct cost increases resulting from tariffs and could help it mitigate such risks.

The Houston, Texas-based company posted second-quarter adjusted profit of $2.48 per share, compared with analysts' estimate of $2.44 per share, according to data compiled by LSEG.

Revenue for the quarter ended June 30 rose 21% to $6.77 billion, compared with estimates of $6.57 billion.

(Reporting by Abhinav Parmar and Aatreyee Dasgupta in Bengaluru; Editing by Devika Syamnath)

((Abhinav.Parmar@thomsonreuters.com;))

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