Western Digital Corporation (WDC) Earnings

Western Digital Corporation is expected to report next earnings on July 29, 2026 (in NaN days), with a consensus EPS estimate of $3.28. WDC has beaten EPS estimates in 10 of its last 12 reported quarters (average surprise +12.1% over the last four).

Next earnings
Jul 29, 2026in NaN days
EPS est $3.28 · Revenue est $3.7B
Track record
Beat EPS in 10 of 12 quarters
Avg surprise +12.1% (last 4 quarters)
Earnings history
Report dateEPS estEPS actualSurpriseRevenueRev. surprise
Apr 30, 2026$2.39$2.72+13.8%$3.3B+2.8%
Jan 29, 2026$1.93$2.13+10.4%$3.0B+3.0%
Oct 30, 2025$1.59$1.78+11.9%$2.8B+3.2%
Jul 30, 2025$1.48$1.66+12.2%$2.6B+5.4%
Apr 30, 2025$1.12$1.36+21.4%$2.3B-0.9%
Jan 29, 2025$1.35$1.77+31.1%$4.3B+0.6%
Oct 24, 2024$1.72$1.78+3.5%$4.1B-0.5%
Jul 31, 2024$1.18$1.44+22.0%$3.8B+0.5%
Apr 25, 2024$0.22$0.63+190.3%$3.5B+2.6%
Jan 25, 2024$-1.13$-0.69+38.9%$3.0B-8.4%
Jan 31, 2023$-0.08$-0.42-425.0%$3.1B+4.3%
Oct 27, 2022$0.30$0.20-33.3%$3.7B+4.1%

Source: company filings + earnings calendar. For informational purposes only — not investment advice.

Earnings call summary

Q3 FY2026 · April 30, 2026

AI summary of management’s prepared remarks and analyst Q&A. For informational purposes only — not investment advice.

Management highlights

WD started calendar year 2026 with strong execution. AI-driven data economy creates demand for high-capacity storage. WD's technology roadmap includes high-capacity drives, UltraSMR technology, and performance innovation. Long-term agreements extend into calendar 28 and 29. Continued innovation and execution to meet customer needs.

Guidance

Third quarter revenue was $3.3 billion, up 45% year-over-year. EPS was $2.72. Q4 revenue anticipated to be $3.65 billion plus minus $100 million, midpoint reflecting 40% year-over-year growth. Gross margin expected in range of 51 to 52%. Operating expenses expected in range of $385 million to $395 million.

Segment performance

In the third quarter of fiscal 2026, revenue was $3.3 billion, up 45% year-over-year. Cloud represented 89% of total revenue at $3 billion, up 48% year-over-year. Consumer represented 6% of revenue at $186 million, up 24% year-over-year. Client represented 5% of total revenue at $179 million, up 31% year-over-year. Gross margin exceeded 50%, and EPS nearly doubled compared to last year.

Analyst Q&A

  • Q: Eric Woodring at Morgan Stanley asked about tailwinds from agentic AI and its impact on HDD growth.

    A: Three core drivers: training storage requirements, agentic AI and inferencing generating new data to store, and physical AI generating synthetic data needing storage.

  • Q: Amit Daryanani with Evercore asked about pricing and cost per exabyte.

    A: Pricing up due to value creation and new LTAs. Cost per exabyte down due to higher aerial density, uptake of ultra-SMR, and supply chain efficiency.

  • Q: Aaron Rakers at Wells Fargo asked about capacity to fulfill demand.

    A: No plans to increase unit capacity, focus on improving aerial density and mixing customers.

  • Q: Tom O'Malley at Barclays asked about pricing appetite and LTAs.

    A: Focus on predictable pricing for customer architectural decisions. Progress in LTAs extending into 2029.

  • Q: Asia Merchant with Citi asked about yield, reliability, and HDD vs Flash.

    A: Yields and quality high. HDD for large-scale object storage, Flash for high IOPS. Symbiotic relationship.

  • Q: Samic Chatterjee with JPMorgan asked about gross margin outperformance.

    A: Driven by strong pricing, mix to higher capacity drives, and cost reduction execution.

  • Q: Wamsi Mohan with Bank of America asked about UltraSMR adoption.

    A: Expansion into tier 2 CSPs, 60% of exabytes to be on ultra-SMR by end of 2027.

  • Q: CJ Muse at Cantor Fitzgerald asked about LTAs and SanDisk position.

    A: LTAs have exabyte volume and pricing. Intention to monetize remaining SanDisk shares tax-free by end of 2026.

  • Q: Carl Ackerman at BNP Paribas asked about media capacity and LTAs.

    A: Focus on aerial density improvements, not unit capacity. Purchase orders placed a year in advance, LTEA frameworks beyond first year.

  • Q: Chris Sankar with TD Cowan asked about demand patterns across hyperscale customers.

    A: Similar demand patterns due to ongoing data storage requirements for training, inference, and synthetic data.

  • Q: Jim Schneider at Goldman Sachs asked about Hammer on shipments.

    A: Focus on de-risking transition to Hammer, four customers in qualification with positive feedback.