Alta Q3 revenue misses analyst expectations hurt by strategic fleet optimization

Reuters
2025/11/07
Alta Q3 revenue misses analyst expectations hurt by strategic fleet optimization 

Overview

  • Alta Q3 revenue fell 5.8% yr/yr, missing analyst expectations

  • Adjusted EPS missed analyst expectations, reflecting operational challenges

  • Product support revenues rose 1.1% yr/yr, showing resilience amid market challenges

Outlook

  • Alta expects Q4 demand for heavy earthmoving equipment to gain momentum

  • Alta projects 2025 Adjusted EBITDA between $168.0 mln and $172.0 mln

  • Alta anticipates entering a fleet replenishment cycle extending into 2026

Result Drivers

  • FLEET OPTIMIZATION - Revenue decline in Construction Equipment segment driven by strategic fleet optimization to align supply with demand for rental equipment

  • PRODUCT SUPPORT STRENGTH - Product support revenues increased 1.1% yr/yr, supported by strong technician productivity across major segments

  • COST SAVINGS - SG&A expenses decreased by $4.7 mln yr/yr due to cost-saving initiatives

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Miss

$422.60 mln

$456.70 mln (5 Analysts)

Q3 Adjusted EPS

Miss

-$0.35

-$0.27 (3 Analysts)

Q3 EPS

-$1.31

Q3 Net Income

-$42.30 mln

Q3 Adjusted EBITDA

Miss

$41.70 mln

$46.10 mln (4 Analysts)

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 3 "strong buy" or "buy", 1 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the industrial machinery & equipment peer group is "buy"

  • Wall Street's median 12-month price target for Alta Equipment Group Inc is $10.00, about 39.3% above its November 5 closing price of $6.07

Press Release: ID:nGNXb6M9xW

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