Latham Group Q4 sales beat estimates on fiberglass pool strength

Reuters
03/04
Latham Group Q4 sales beat estimates on fiberglass pool strength

Overview

  • Pool manufacturer Latham Group's Q4 net sales rose 14.5%, beating analyst expectations

  • Adjusted EBITDA for Q4 beat estimates, rising significantly year-over-year

  • Company recently acquired Freedom Pools, expanding market presence in Australia/New Zealand

Outlook

  • Latham Group expects 2026 net sales growth of 9.0% at the midpoint

  • Company projects 2026 adjusted EBITDA growth of 12.7% at the midpoint

  • Latham plans increased branding and marketing investments in Sand States for 2026

Result Drivers

  • FIBERGLASS POOL SALES - Growth in fiberglass pool sales drove Q4 in-ground pool sales, accounting for 76.5% of total sales in 2025

  • COVERS AND LINERS - Increased awareness and adoption of covers and liners contributed to sales growth

  • MARGIN EXPANSION - Margin expansion achieved through higher volumes, lean manufacturing, and value engineering initiatives

Company press release: ID:nGNX48M57d

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Sales

Beat

$100 mln

$96.79 mln (8 Analysts)

Q4 EPS

-$0.06

Q4 Net Income

-$7 mln

Q4 Adjusted EBITDA

Beat

$10.50 mln

$7.04 mln (7 Analysts)

Q4 Gross Margin

28.00%

Q4 Adjusted EBITDA Margin

10.50%

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 5 "strong buy" or "buy", 1 "hold" and 2 "sell" or "strong sell"

  • The average consensus recommendation for the recreational products peer group is "buy"

  • Wall Street's median 12-month price target for Latham Group Inc is $8.00, about 21.2% above its March 2 closing price of $6.60

  • The stock recently traded at 40 times the next 12-month earnings vs. a P/E of 41 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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