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Tapestry10-K: Platform strategy

Investing $962.5M in marketing and AI/ML to drive customer acquisition and personalization.

What happened

Tapestry increased its marketing spend by 29% YoY to $962.5M and is deploying AI/ML for data analytics, marketing, and personalization.

Source

SEC EDGARAug 13, 2026

Annual report (Form 10-K)

Tapestry 10-K for FY2026

Filing excerpt

Total expenses attributable to the Company's marketing-related activities in fiscal 2026 were $962.5 million, representing 12% of net sales, compared to $744.5 million in fiscal 2025, representing nearly 11% of net sales.

sec.gov/Archives/edgar/data/1116132/000111613226000018/tpr-20260627.htmRead the full source

Other signals in this filing (11)

Extracted by Autobound

From the Signal API record
Signal
10-K: Platform strategy

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

Period
FY2026
Fiscal year end
06/27
Filed
Aug 13, 2026

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The full record

From the Signal API record

Numbers

Dollar figure
$963M (Total marketing-related expenses in fiscal 2026)
Percent
29% (Year-over-year increase in marketing spend from fiscal 2025 ($744.5M))

Details

CIK
1116132
Accession number
0001116132-26-000018
Timeframe
Current year
Filing year
2026
Why it matters
Platform tools needed
Signal category
Strategic

Topics and mentions

Technologies

  • artificial intelligence
  • predictive
  • generative
  • agentic models
  • machine learning
  • data analytics
  • cloud-based technologies
  • e-commerce

Extraction

Confidence
High
Relevance
90%
Sentiment
Positive
Detected
Aug 18, 2026
signal_type
sec-10k
signal_subtype
platformStrategy

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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/fa088609-c0ec-4634-a445-7598f4189e9d returns this record as JSON. POST /v1/companies/enrich returns every signal for tapestry.com.

{
  "signal_id": "fa088609-c0ec-4634-a445-7598f4189e9d",
  "signal_type": "sec-10k",
  "signal_subtype": "platformStrategy",
  "detected_at": "2026-08-18T07:04:43.711+00:00",
  "company": {
    "name": "Tapestry",
    "domain": "tapestry.com"
  },
  "data": {
    "detail": "Tapestry increased its marketing spend by 29% YoY to $962.5M and is deploying AI/ML for data analytics, marketing, and personalization. This massive investment in their consumer engagement platform signals significant budget for vendors in martech, adtech, data analytics, and AI infrastructure.",
    "metrics": {
      "pct": 0.29,
      "timeframe": "current_year",
      "pct_context": "Year-over-year increase in marketing spend from fiscal 2025 ($744.5M)",
      "dollar_context": "Total marketing-related expenses in fiscal 2026",
      "dollar_millions": 962.5
    },
    "summary": "Investing $962.5M in marketing and AI/ML to drive customer acquisition and personalization.",
    "excerpts": "Total expenses attributable to the Company's marketing-related activities in fiscal 2026 were $962.5 million, representing 12% of net sales, compared to $744.5 million in fiscal 2025, representing nearly 11% of net sales.",
    "relevance": 0.9,
    "sentiment": "positive",
    "confidence": "high",
    "source_url": "https://www.sec.gov/Archives/edgar/data/1116132/000111613226000018/tpr-20260627.htm",
    "filing_date": "2026-08-13",
    "filing_year": 2026,
    "fiscal_year_end": "06/27",
    "sales_relevance": "Platform tools needed",
    "signal_category": "strategic",
    "technologies_mentioned": [
      "artificial intelligence",
      "predictive",
      "generative",
      "agentic models",
      "machine learning",
      "data analytics",
      "cloud-based technologies",
      "e-commerce"
    ]
  }
}

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