Seagate Technology Sets January 27 Q2 Fiscal 2026 Results Release and Conference Call

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Seagate Technology will report its fiscal second quarter 2026 results after US markets close on January 27, 2026. A conference call scheduled for 2:00 PM PT / 5:00 PM ET will be webcast live on the company’s Investor Relations site.

1. Seagate to Report Fiscal Q2 2026 Results on January 27, 2026

Seagate Technology Holdings plc will release its fiscal second quarter 2026 financial results after U.S. market close on Tuesday, January 27, 2026, with an investor conference call scheduled at 2:00 PM PT / 5:00 PM ET. Management is expected to discuss revenue trends in its storage solutions business, gross margin targets and the outlook for mass-capacity HDD shipments, following record cumulative shipments of over four billion terabytes since the company’s founding more than 45 years ago. The live audio webcast will be available on Seagate’s Investor Relations website, providing an opportunity for analysts to question executives on capital allocation plans, R&D investments in emerging storage technologies and guidance for the second half of fiscal 2026.

2. 32TB HDD Launch Broadens Edge-to-Cloud AI Video Analytics Reach

Seagate has introduced 32TB models across its Exos, SkyHawk AI and IronWolf Pro lines, marking its largest capacity drives to date and addressing surging data requirements in AI-driven video analytics. The new drives leverage heat-assisted magnetic recording (HAMR) technology to increase areal density by 25 percent over previous generations, enabling hyperscale data centers and edge appliances to store up to 1.4 petabytes in a standard 42U rack. Enterprise customers deploying SkyHawk AI can now support up to 64 concurrent HD video streams per drive, while IronWolf Pro units offer multi-user NAS environments higher performance headroom for creative workflows. Seagate projects that these 32TB launches will contribute to a double-digit increase in its near-term HDD average selling price and reinforce its leadership in mass-capacity storage for AI workloads.

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