Under Armour (UAA) Inventory (2009 - 2026)
Under Armour's Inventory was $1.11 billion in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 2.9% from $1.14 billion a year earlier but up 21.3% from the prior quarter.
Powered by 
Analysis
Under Armour (UAA) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Inventory at Under Armour came in at $914.75 million, down 3.3% from FY2025.
- Inventory has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 2.4% (FY2021 to FY2026).
- In earlier fiscal years, Inventory was $945.84 million in FY2025 (-1.3%), $958.5 million in FY2024 (-19.2%), $1.19 billion in FY2023 and $1.22 billion in FY2022 (+50.1%).
- Quarterly Inventory has moved between $824.46 million (fiscal Q4 2022) and $1.32 billion (fiscal Q1 2024) over five years.
- Compared with a year earlier, Inventory has declined for four straight quarters, with an average decline of 2.2% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was fiscal Q4 2023 (growth of 43.8%); the worst was fiscal Q4 2024 (a decline of 19.2%).
- Per Business Quant data, UAA's Inventory in the three fiscal quarters before Q1 2027 was $914.75 million (Q4 2026), $1.07 billion (Q3 2026) and $1.04 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 826.20 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.16 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 487.02 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.71 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.16 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.17 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 980.27 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 389.21 Mn |
| 10 | Under Armour | 1.83 Bn | -1.54 Bn | 593.83 Mn | 1.11 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.11 Bn |
| Mar 31, 2026 | 914.75 Mn |
| Dec 31, 2025 | 1.07 Bn |
| Sep 30, 2025 | 1.04 Bn |
| Jun 30, 2025 | 1.14 Bn |
| Mar 31, 2025 | 945.84 Mn |
| Dec 31, 2024 | 1.10 Bn |
| Sep 30, 2024 | 1.11 Bn |
| Jun 30, 2024 | 1.12 Bn |
| Mar 31, 2024 | 958.50 Mn |
| Dec 31, 2023 | 1.10 Bn |
| Sep 30, 2023 | 1.14 Bn |
| Jun 30, 2023 | 1.32 Bn |
| Mar 31, 2023 | 1.19 Bn |
| Dec 31, 2022 | 1.22 Bn |
| Sep 30, 2022 | 1.08 Bn |
| Jun 30, 2022 | 954.39 Mn |
| Mar 31, 2022 | 824.46 Mn |
| Dec 31, 2021 | 811.41 Mn |
| Sep 30, 2021 | 837.74 Mn |
API Access
Under Armour Inventory 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=inventory&ticker=UAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=UAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();