Landscaping firm BrightView beats Q1 revenue estimates

Reuters
Feb 04
Landscaping firm BrightView beats Q1 revenue estimates 

Overview

  • U.S. landscaping firm's Q1 revenue grew 2.6% yr/yr, beating analyst expectations

  • Adjusted EPS for Q1 missed analyst expectations

  • Company repurchased 1.1 mln shares of common stock

Outlook

  • BrightView reaffirms fiscal 2026 total revenue guidance at $2.670 to $2.730 bln

  • Company expects fiscal 2026 adjusted EBITDA between $363 mln and $377 mln

  • BrightView anticipates fiscal 2026 adjusted free cash flow of $100 to $115 mln

Result Drivers

  • SNOW REMOVAL REVENUE - A $36 mln increase in snow removal services revenue significantly contributed to the overall revenue growth

  • DEVELOPMENT SERVICES DECLINE - Revenue in Development Services fell 6.6% due to timing and mix of projects

  • INVESTMENTS IN SALES FORCE - Increased investments in sales force affected Adjusted EBITDA margin despite revenue growth

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q1 Revenue

Beat

$614.70 mln

$589.08 mln (9 Analysts)

Q1 Adjusted EPS

Miss

-$0.01

$0.03 (6 Analysts)

Q1 Adjusted Net Income

-$2.20 mln

Q1 Net Income

-$24.20 mln

Q1 Adjusted EBITDA

$53.50 mln

Q1 Adjusted EBITDA Margin

8.70%

Q1 Capex

$48.70 mln

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 7 "strong buy" or "buy", 1 "hold" and 2 "sell" or "strong sell"

  • The average consensus recommendation for the environmental services & equipment peer group is "buy"

  • Wall Street's median 12-month price target for Brightview Holdings Inc is $15.00, about 8.7% above its February 2 closing price of $13.80

  • The stock recently traded at 17 times the next 12-month earnings vs. a P/E of 14 three months ago

Press Release: ID:nBwkzD3Sa

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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