Under Armour (UAA) Prepaid Assets (2009 - 2026)
Under Armour (UAA) posted Prepaid Assets of $217.82 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 3.8% from $226.31 million a year earlier but up 5.0% from the prior quarter.
Powered by 
Analysis
Under Armour (UAA) Prepaid Assets (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Under Armour's Prepaid Assets came in at $207.51 million, up 0.7% from FY2025.
- Annual Prepaid Assets shows a five-year compound annual growth rate of -6.2% (FY2021 to FY2026).
- In prior fiscal years, Under Armour's Prepaid Assets was $206.08 million in FY2025 (-28.7%), $289.16 million in FY2024 (-1.4%), $293.33 million in FY2023 and $348.73 million in FY2022 (+21.8%).
- Quarterly Prepaid Assets has run from a low of $206.08 million in fiscal Q4 2025 to a high of $356.24 million in fiscal Q3 2023 over five years.
- On a year-over-year basis, Prepaid Assets increased in two of the last eight quarters, with an average decline of 10.7%.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was fiscal Q1 2025, with growth of 5.5%; the weakest was fiscal Q4 2025, with a decline of 28.7%.
- According to Business Quant data, Prepaid Assets for the three prior fiscal quarters was $207.51 million (Q4 2026), $238.51 million (Q3 2026) and $218.09 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | Under Armour | 1.91 Bn | -1.47 Bn | 593.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 217.82 Mn |
| Mar 31, 2026 | 207.51 Mn |
| Dec 31, 2025 | 238.51 Mn |
| Sep 30, 2025 | 218.09 Mn |
| Jun 30, 2025 | 226.31 Mn |
| Mar 31, 2025 | 206.08 Mn |
| Dec 31, 2024 | 248.12 Mn |
| Sep 30, 2024 | 210.11 Mn |
| Jun 30, 2024 | 279.14 Mn |
| Mar 31, 2024 | 289.16 Mn |
| Dec 31, 2023 | 287.15 Mn |
| Sep 30, 2023 | 266.83 Mn |
| Jun 30, 2023 | 264.70 Mn |
| Mar 31, 2023 | 293.33 Mn |
| Dec 31, 2022 | 348.73 Mn |
| Sep 30, 2022 | 356.24 Mn |
| Jun 30, 2022 | 302.64 Mn |
| Mar 31, 2022 | 297.03 Mn |
| Dec 31, 2021 | 286.42 Mn |
| Sep 30, 2021 | 300.72 Mn |
API Access
Under Armour Prepaid Assets 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=prepaid-assets&ticker=UAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=UAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();