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Tapestry10-K: Channel shift

Direct-to-Consumer (DTC) channel now accounts for 87% of total net sales

Read at SEC EDGAR

What happened

The heavy reliance on DTC, including e-commerce and physical stores, necessitates significant investment in digital platforms, customer experience technologies, and data analytics to maintain growth. This massive channel concentration creates pressure to optimize every aspect of the digital and in-store journey.

Source

SEC EDGARAug 13, 2026

Annual report (Form 10-K)

Tapestry 10-K for FY2026

Filing excerpt

DTC revenues were approximately 87% of total net sales in fiscal 2026.

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: Channel shift

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

Percent
87% (DTC revenue as a percentage of total net sales in fiscal 2026)

Details

CIK
1116132
Accession number
0001116132-26-000018
Filing year
2026
Why it matters
New channel tools needed
Signal category
Market

Topics and mentions

Technologies

  • artificial intelligence
  • machine learning
  • cloud-based technologies
  • Enterprise Resource Planning
  • Order Management Systems
  • Point of Sale systems

Vendors

  • Luxottica
  • Movado
  • Interparfums
  • Case-Mate
  • Komar
  • Live Comfortably
  • Lifeguard Press
  • Safilo

Regions named

  • North America
  • International
  • U.S.
  • Canada
  • Japan
  • Greater China
  • Europe
  • Australia

Extraction

Confidence
High
Relevance
80%
Sentiment
Neutral
Detected
Aug 18, 2026
signal_type
sec-10k
signal_subtype
channelShift

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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
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Show the full JSONThe record on this page and the API request

GET /v1/signals/4c8dd538-4b4a-4aba-bf46-de719eb5b343 returns this record as JSON. POST /v1/companies/enrich returns every signal for tapestry.com.

{
  "signal_id": "4c8dd538-4b4a-4aba-bf46-de719eb5b343",
  "signal_type": "sec-10k",
  "signal_subtype": "channelShift",
  "detected_at": "2026-08-18T07:04:38.868+00:00",
  "company": {
    "name": "Tapestry",
    "domain": "tapestry.com"
  },
  "data": {
    "detail": "The heavy reliance on DTC, including e-commerce and physical stores, necessitates significant investment in digital platforms, customer experience technologies, and data analytics to maintain growth. This massive channel concentration creates pressure to optimize every aspect of the digital and in-store journey.",
    "metrics": {
      "pct": 0.87,
      "pct_context": "DTC revenue as a percentage of total net sales in fiscal 2026"
    },
    "summary": "Direct-to-Consumer (DTC) channel now accounts for 87% of total net sales",
    "excerpts": "DTC revenues were approximately 87% of total net sales in fiscal 2026.",
    "relevance": 0.8,
    "sentiment": "neutral",
    "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": "New channel tools needed",
    "signal_category": "market",
    "regions_mentioned": [
      "North America",
      "International",
      "U.S.",
      "Canada",
      "Japan",
      "Greater China",
      "Europe",
      "Australia"
    ],
    "vendors_mentioned": [
      "Luxottica",
      "Movado",
      "Interparfums",
      "Case-Mate",
      "Komar",
      "Live Comfortably",
      "Lifeguard Press",
      "Safilo"
    ],
    "technologies_mentioned": [
      "artificial intelligence",
      "machine learning",
      "cloud-based technologies",
      "Enterprise Resource Planning",
      "Order Management Systems",
      "Point of Sale systems"
    ]
  }
}

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