Fastenal Q4 revenue slightly misses estimates amid sluggish industrial production

Reuters
Jan 20
Fastenal Q4 revenue slightly misses estimates amid sluggish industrial production

Overview

  • Industrial supplies distributor's Q4 revenue slightly missed analyst expectations

  • EPS for Q4 met analyst expectations

  • Net income for Q4 missed analyst estimates

Outlook

  • Fastenal expects 2026 capital expenditure between $310 mln and $330 mln

  • Company targets 2026 weighted FASTBin and FASTVend signings of 28,000 to 30,000 machine equivalent units

Result Drivers

  • CUSTOMER CONTRACTS - Improved customer contract signings since Q1 2024 contributed to increased sales in Q4 2025 despite sluggish industrial production

  • FASTENER EXPANSION - Fastener expansion project and increased sales to manufacturing customers boosted direct product sales

  • FMI TECHNOLOGY - Growth in FMI technology sales driven by migration to digital stocking locations

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Sales

Slight Miss*

$2.03 bln

$2.04 bln (12 Analysts)

Q4 EPS

Meet

$0.26

$0.26 (15 Analysts)

Q4 Net Income

Miss

$294.10 mln

$301.94 mln (10 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 "hold" and the breakdown of recommendations is 5 "strong buy" or "buy", 8 "hold" and 5 "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 Fastenal Co is $45.00, about 2.9% above its January 16 closing price of $43.74

  • The stock recently traded at 36 times the next 12-month earnings vs. a P/E of 41 three months ago

Press Release: ID:nBw9zfLXra

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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