Proto Labs Q4 revenue beats estimates on improved customer engagement

Reuters
02/06
Proto Labs Q4 revenue beats estimates on improved customer engagement

Overview

  • Digital manufacturing firm's Q4 revenue rose 12.1% yr/yr, beating analyst expectations

  • Adjusted net income for Q4 beat analyst expectations

  • Company highlights strategic pillars for 2026 focusing on growth and efficiency

Outlook

  • Proto Labs expects fiscal year 2026 revenue growth between 6% and 8%

  • Company forecasts Q1 2026 revenue between $130 mln and $138 mln

  • Proto Labs anticipates Q1 2026 diluted EPS between $0.17 and $0.25

Result Drivers

  • CNC MACHINING GROWTH - CNC Machining revenue grew 25% yr/yr, contributing significantly to record quarterly revenue

  • REVENUE PER CUSTOMER - Revenue per customer contact increased 23.2% yr/yr, indicating improved customer engagement

  • OPERATIONAL EFFICIENCY - Strategic focus on operational efficiency supported revenue growth and profitability

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Revenue

Beat

$136.49 mln

$129.07 mln (5 Analysts)

Q4 Adjusted Net Income

Beat

$10.70 mln

$8.15 mln (4 Analysts)

Q4 Net Income

$6 mln

Q4 Gross Profit

$60.37 mln

Q4 Operating Expenses

$53.57 mln

Q4 Operating Income

$6.80 mln

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 3 "strong buy" or "buy", 2 "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 Proto Labs Inc is $55.00, about 4.8% above its February 5 closing price of $52.48

  • The stock recently traded at 32 times the next 12-month earnings vs. a P/E of 30 three months ago

Press Release: ID:nBw3D07lXa

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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