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NetApp10-K: Market share loss

NetApp faces risk of losing competitive position if it fails to adapt to GenAI infrastructure demands.

What happened

The company acknowledges that the rapid emergence of GenAI is reshaping demand, and failure to adapt products and go-to-market strategies could lead customers to choose alternative providers.

Source

SEC EDGARJun 5, 2026

Annual report (Form 10-K)

NetApp 10-K for FY2026

Filing excerpt

The rapid emergence of generative artificial intelligence (GenAI), including agentic AI, is reshaping demand patterns for storage and data management infrastructure in ways that are still evolving.

sec.gov/Archives/edgar/data/1002047/000119312526259683/ntap-20260424.htmRead the full source

Other signals in this filing (9)

Extracted by Autobound

From the Signal API record
Signal
10-K: Market share loss

What this signalsFilings often name leadership changes, deals and spending plans.

Period
FY2026
Fiscal year end
04/24
Filed
Jun 5, 2026

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The full record

From the Signal API record

Details

CIK
1002047
Accession number
0001193125-26-259683
Filing year
2026
Why it matters
Urgency to improve

Topics and mentions

Technologies

  • AI
  • GenAI
  • agentic AI
  • machine learning
  • multi-cloud
  • hybrid cloud
  • all-flash
  • hybrid-flash

Vendors

  • Amazon Web Services (AWS)
  • Microsoft Azure
  • Google Cloud
  • NVIDIA
  • Cisco
  • Microsoft
  • Oracle
  • Akamai Technologies

Regions named

  • U.S.
  • China
  • Taiwan
  • European Union
  • India
  • Singapore
  • California
  • Middle East

Extraction

Confidence
High
Relevance
80%
Sentiment
Negative
Detected
Jun 9, 2026
signal_type
sec-10k
signal_subtype
marketShareLoss

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The API returns more than this page shows

This page shows a preview. The full sec-10k record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/3569c6f7-1717-48a4-905a-93e74a2442a8 returns this record as JSON. POST /v1/companies/enrich returns every signal for netapp.com.

{
  "signal_id": "3569c6f7-1717-48a4-905a-93e74a2442a8",
  "signal_type": "sec-10k",
  "signal_subtype": "marketShareLoss",
  "detected_at": "2026-06-09T06:51:35.422+00:00",
  "company": {
    "name": "NetApp",
    "domain": "netapp.com"
  },
  "data": {
    "detail": "The company acknowledges that the rapid emergence of GenAI is reshaping demand, and failure to adapt products and go-to-market strategies could lead customers to choose alternative providers. This creates an urgent need for solutions that accelerate their AI product development and market fit.",
    "summary": "NetApp faces risk of losing competitive position if it fails to adapt to GenAI infrastructure demands.",
    "excerpts": "The rapid emergence of generative artificial intelligence (GenAI), including agentic AI, is reshaping demand patterns for storage and data management infrastructure in ways that are still evolving.",
    "relevance": 0.8,
    "sentiment": "negative",
    "confidence": "high",
    "source_url": "https://www.sec.gov/Archives/edgar/data/1002047/000119312526259683/ntap-20260424.htm",
    "filing_date": "2026-06-05",
    "filing_year": 2026,
    "fiscal_year_end": "04/24",
    "sales_relevance": "Urgency to improve",
    "signal_category": "market",
    "regions_mentioned": [
      "U.S.",
      "China",
      "Taiwan",
      "European Union",
      "India",
      "Singapore",
      "California",
      "Middle East"
    ],
    "vendors_mentioned": [
      "Amazon Web Services (AWS)",
      "Microsoft Azure",
      "Google Cloud",
      "NVIDIA",
      "Cisco",
      "Microsoft",
      "Oracle",
      "Akamai Technologies"
    ],
    "technologies_mentioned": [
      "AI",
      "GenAI",
      "agentic AI",
      "machine learning",
      "multi-cloud",
      "hybrid cloud",
      "all-flash",
      "hybrid-flash"
    ]
  }
}

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