Under Armour (UAA) Property, Plant & Equipment (Net) (2009 - 2026)
Under Armour's Property, Plant & Equipment (Net) came in at $584.98 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 4.6% from $613.17 million a year earlier and down 2.3% from the prior quarter.
Under Armour (UAA) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Under Armour's Property, Plant & Equipment (Net) was $598.95 million, down 7.2% from FY2025.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of -0.3% (FY2021 to FY2026).
- Going back by fiscal year, Property, Plant & Equipment (Net) was $645.15 million in FY2025 (-2.9%), $664.5 million in FY2024 (+3.1%), $644.83 million in FY2023 and $655.61 million in FY2022 (+8.0%).
- The fiscal Q1 2027 figure represents the lowest quarterly Property, Plant & Equipment (Net) in data going back to fiscal Q4 2022.
- Year-over-year, Property, Plant & Equipment (Net) has declined for nine consecutive quarters, with an average decline of 6.7% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in fiscal Q4 2023 (growth of 7.2%), and the weakest in fiscal Q2 2026 (a decline of 10.6%).
- Business Quant data shows UAA's Property, Plant & Equipment (Net) at $598.95 million (Q4 2026), $592.71 million (Q3 2026) and $605.32 million (Q2 2026) in the three fiscal quarters before Q1 2027.
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 | Under Armour | 2.02 Bn | -1.36 Bn | 593.83 Mn | 584.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 584.98 Mn |
| Mar 31, 2026 | 598.95 Mn |
| Dec 31, 2025 | 592.71 Mn |
| Sep 30, 2025 | 605.32 Mn |
| Jun 30, 2025 | 613.17 Mn |
| Mar 31, 2025 | 645.15 Mn |
| Dec 31, 2024 | 650.64 Mn |
| Sep 30, 2024 | 677.40 Mn |
| Jun 30, 2024 | 671.14 Mn |
| Mar 31, 2024 | 664.50 Mn |
| Dec 31, 2023 | 714.18 Mn |
| Sep 30, 2023 | 687.80 Mn |
| Jun 30, 2023 | 679.11 Mn |
| Mar 31, 2023 | 644.83 Mn |
| Dec 31, 2022 | 655.61 Mn |
| Sep 30, 2022 | 636.75 Mn |
| Jun 30, 2022 | 609.92 Mn |
| Mar 31, 2022 | 601.37 Mn |
| Dec 31, 2021 | 607.23 Mn |
| Sep 30, 2021 | 601.70 Mn |
Under Armour 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=UAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "UAA", "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=UAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();