Nike (NKE) Property, Plant & Equipment (Net) (2009 - 2026)
Nike (NKE) recorded Property, Plant & Equipment (Net) of $4.8 billion in fiscal Q4 2026 (quarter ended May 31, 2026), down 0.7% from $4.83 billion a year earlier but up 0.6% from the prior quarter.
Nike (NKE) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
Starting with fiscal Q4 2009, Nike's Property, Plant & Equipment (Net) history includes 69 quarters.
- Annual Property, Plant & Equipment (Net) has declined for three straight fiscal years, with a five-year compound annual growth rate of -0.4% (FY2021 to FY2026).
- Across earlier fiscal years, Property, Plant & Equipment (Net) came in at $4.83 billion in FY2025 (-3.4%), $5 billion in FY2024 (-1.6%), $5.08 billion in FY2023 (+6.1%) and $4.79 billion in FY2022 (-2.3%).
- Quarterly Property, Plant & Equipment (Net) has ranged from $4.72 billion in fiscal Q3 2025 to $5.15 billion in fiscal Q2 2024 over the past five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in 1 of the last eight quarters, with an average decline of 2.6%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 6.9% in fiscal Q1 2024, against a decline of 7.2% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $4.77 billion (Q3 2026), $4.84 billion (Q2 2026) and $4.86 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 4.89 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 502.10 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.05 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | 337.78 Mn |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 2.05 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 659.80 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 1.32 Bn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 472.48 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 246.08 Mn |
| 10 | V F | 5.64 Bn | 2.26 Bn | 917.04 Mn | 674.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 4.89 Bn |
| May 31, 2026 | 4.80 Bn |
| Feb 28, 2026 | 4.77 Bn |
| Nov 30, 2025 | 4.84 Bn |
| Aug 31, 2025 | 4.86 Bn |
| May 31, 2025 | 4.83 Bn |
| Feb 28, 2025 | 4.72 Bn |
| Nov 30, 2024 | 4.86 Bn |
| Aug 31, 2024 | 4.95 Bn |
| May 31, 2024 | 5.00 Bn |
| Feb 29, 2024 | 5.08 Bn |
| Nov 30, 2023 | 5.15 Bn |
| Aug 31, 2023 | 5.11 Bn |
| May 31, 2023 | 5.08 Bn |
| Feb 28, 2023 | 4.94 Bn |
| Nov 30, 2022 | 4.85 Bn |
| Aug 31, 2022 | 4.78 Bn |
| May 31, 2022 | 4.79 Bn |
| Feb 28, 2022 | 4.81 Bn |
| Nov 30, 2021 | 4.81 Bn |
Nike 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=NKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "NKE", "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=NKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();