Matthews International Q1 revenue falls

Reuters05:24
Matthews International Q1 revenue falls

Overview

  • Memorialization products maker's fiscal Q1 adjusted EBITDA beat analyst expectations

  • Fiscal Q1 sales showed slight beat, driven by Memorialization segment growth

  • Company reduced debt by $174 mln through divestitures

Outlook

  • Company maintains fiscal 2026 adjusted EBITDA guidance of at least $180 mln

  • Matthews expects dry battery electrode orders in second half of fiscal 2026

  • Company anticipates $60 mln cost synergies from Propelis in calendar 2026

Result Drivers

  • MEMORIALIZATION GROWTH - Higher sales and adjusted EBITDA in the Memorialization segment were driven by The Dodge Company acquisition and increased sales volumes for caskets and cemetery memorials

  • INDUSTRIAL TECHNOLOGIES CHALLENGES - Sales decline in Industrial Technologies due to engineering business challenges and Tesla dispute, though strong interest in dry battery electrode solutions remains

  • DEBT REDUCTION - Company reduced outstanding debt by $174 mln, primarily from proceeds of divestitures

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q1 Sales

Slight Beat*

$284.76 mln

$282.50 mln (2 Analysts)

Q1 Adjusted EPS

Miss

-$0.19

$0.05 (1 Analyst)

Q1 EPS

$1.39

Q1 Net Income

$43.63 mln

Q1 Adjusted EBITDA

Beat

$35.24 mln

$32.40 mln (2 Analysts)

*Applies to a deviation of less than 1%; not applicable for per-share numbers.

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 2 "strong buy" or "buy", no "hold" and no "sell" or "strong sell"

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

  • Wall Street's median 12-month price target for Matthews International Corp is $38.00, about 42.6% above its February 2 closing price of $26.65

  • The stock recently traded at 21 times the next 12-month earnings vs. a P/E of 22 three months ago

Press Release: ID:nPn1fq4Vya

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(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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