Dycom Q4 revenue rises on organic contract strength

Reuters
Mar 04
Dycom Q4 revenue rises on organic contract strength

Overview

  • Telecom contractor's fiscal Q4 contract revenues rose 34.4%, driven by organic growth

  • Adjusted net income for fiscal Q4 rose 42% yr/yr, exceeding expectations

  • Company completed acquisition of Power Solutions, expanding into data center market

Outlook

  • Dycom expects fiscal 2027 revenue between $6.85 bln and $7.15 bln

  • Company anticipates fiscal 2027 adjusted EBITDA margin expansion

  • Dycom forecasts Q1 fiscal 2027 revenue between $1.64 bln and $1.71 bln

Result Drivers

  • ORGANIC GROWTH - Dycom's Q4 revenue growth was driven by a 16.6% increase in organic contract revenues, attributed to strong demand for fiber infrastructure and maintenance services

  • ACQUISITION IMPACT - The acquisition of Power Solutions contributed to Dycom's entry into the data center market, impacting Q4 results

  • OPERATIONAL EXCELLENCE - Record free cash flow in Q4 was attributed to operational excellence, according to CEO Dan Peyovich

Company press release: ID:nGNX19nJ5w

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Contract Revenue

$1.46 bln

Q4 EPS

$0.55

Q4 Net Income

$16.30 mln

Q4 Adjusted EBITDA

$162.40 mln

Q4 Pretax Profit

$17.90 mln

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 12 "strong buy" or "buy", no "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the construction & engineering peer group is "buy"

  • Wall Street's median 12-month price target for Dycom Industries Inc is $420.00, about 4.1% above its March 3 closing price of $403.49

  • The stock recently traded at 31 times the next 12-month earnings vs. a P/E of 29 three months ago

For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact reuters.support@thomsonreuters.com.

(This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)

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