Tapestry (TPR) Property, Plant & Equipment (Net) (2009 - 2026)
Tapestry (TPR) reported Property, Plant & Equipment (Net) of $502.1 million for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 2.6% from $489.5 million a year earlier and up 1.9% from the prior quarter.
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Analysis
Tapestry (TPR) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
Dating back to fiscal Q4 2009, Tapestry's Property, Plant & Equipment (Net) record includes 69 quarters.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -5.8% (FY2021 to FY2026).
- By fiscal year, Property, Plant & Equipment (Net) came in at $489.5 million in FY2025 (-4.9%), $514.7 million in FY2024 (-8.8%), $564.5 million in FY2023 (+3.7%) and $544.4 million in FY2022 (-19.7%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) since fiscal Q1 2025.
- Year over year, Property, Plant & Equipment (Net) gained in two of the last eight quarters, with an average decline of 3.2%.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was fiscal Q4 2023 (growth of 3.7%); the low point was fiscal Q1 2023 (a decline of 19.9%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $492.7 million (Q3 2026), $492 million (Q2 2026) and $487.5 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn | 4.89 Bn |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn | 502.10 Mn |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn | 1.06 Bn |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn | 2.05 Bn |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn | 341.99 Mn |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn | 655.80 Mn |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn | 676.47 Mn |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn | 240.78 Mn |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn | 464.29 Mn |
| 10 | Gildan Activewear | 5.84 Bn | 4.80 Bn | 624.95 Mn | 1.31 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 502.10 Mn |
| Mar 28, 2026 | 492.70 Mn |
| Dec 27, 2025 | 492.00 Mn |
| Sep 27, 2025 | 487.50 Mn |
| Jun 28, 2025 | 489.50 Mn |
| Mar 29, 2025 | 485.20 Mn |
| Dec 28, 2024 | 498.40 Mn |
| Sep 28, 2024 | 513.00 Mn |
| Jun 29, 2024 | 514.70 Mn |
| Mar 30, 2024 | 518.40 Mn |
| Dec 30, 2023 | 539.20 Mn |
| Sep 30, 2023 | 539.60 Mn |
| Jul 1, 2023 | 564.50 Mn |
| Apr 1, 2023 | 578.20 Mn |
| Dec 31, 2022 | 571.10 Mn |
| Oct 1, 2022 | 526.30 Mn |
| Jul 2, 2022 | 544.40 Mn |
| Apr 2, 2022 | 576.60 Mn |
| Jan 1, 2022 | 647.70 Mn |
| Oct 2, 2021 | 657.10 Mn |
API Access
Tapestry Property, Plant & Equipment (Net) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=TPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "TPR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=TPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();