Seagate beats Q2 revenue and EPS expectations

Reuters
Jan 28
Seagate beats <a href="https://laohu8.com/S/QTWO">Q2</a> revenue and EPS expectations

Overview

  • Data storage products maker's fiscal Q2 revenue rose, beating analysts' expectations

  • Adjusted EPS rose 53.2% yr/yr, beating analysts' expectations

  • Company declared a quarterly cash dividend of $0.74 per share

Outlook

  • Seagate projects fiscal Q3 2026 revenue of $2.90 bln, plus or minus $100 mln

  • Company expects fiscal Q3 2026 non-GAAP EPS of $3.40, plus or minus $0.20

  • Seagate anticipates minimal impact from global tariff policies in fiscal Q3 2026

Result Drivers

  • DATA CENTER DEMAND - Seagate attributed strong results to durable demand in the data center sector, as stated by CEO Dave Mosley

  • HAMR PRODUCTS - The ongoing ramp of HAMR-based Mozaic products contributed to quarterly performance, according to CEO Dave Mosley

  • AI-DRIVEN STORAGE NEEDS - AI applications driving demand for cost-efficient, high-performance storage solutions, per CEO Dave Mosley

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q2 Revenue

Beat

$2.83 bln

$2.73 bln (18 Analysts)

Q2 Adjusted EPS

Beat

$3.11

$2.81 (19 Analysts)

Q2 EPS

$2.60

Q2 Net Income

$593 mln

Q2 Gross Margin

41.60%

Q2 Dividend

$0.74

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 21 "strong buy" or "buy", 5 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the computer hardware peer group is "buy"

  • Wall Street's median 12-month price target for Seagate Technology Holdings PLC is $370.00, about 3.3% above its January 26 closing price of $358.29

  • The stock recently traded at 25 times the next 12-month earnings vs. a P/E of 21 three months ago

Press Release: ID:nBw1M8P5Sa

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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