Under Armour (UAA) Cash & Equivalents (2009 - 2026)
Under Armour (UAA) recorded Cash & Equivalents of $395.98 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 56.5% from $910.99 million a year earlier but up 28.1% from the prior quarter.
Under Armour (UAA) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Under Armour reported Cash & Equivalents of $309.17 million, down 38.3% from FY2025.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -28.6% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $501.36 million in FY2025 (-41.6%), $858.69 million in FY2024 (+20.8%), $710.93 million in FY2023 and $849.55 million in FY2022 (-49.1%).
- Quarterly Cash & Equivalents has ranged from $309.17 million in fiscal Q4 2026 to $1.05 billion in fiscal Q2 2023 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for four consecutive quarters, with an average decline of 30.5% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 25.9% in fiscal Q1 2025, against a decline of 56.5% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $309.17 million (Q4 2026), $464.65 million (Q3 2026) and $395.99 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 6.90 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 974.70 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.72 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | 1.91 Bn |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 849.30 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 268.30 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 806.25 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 170.28 Mn |
| 10 | Under Armour | 2.02 Bn | -1.36 Bn | 593.83 Mn | 395.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 395.98 Mn |
| Mar 31, 2026 | 309.17 Mn |
| Dec 31, 2025 | 464.65 Mn |
| Sep 30, 2025 | 395.99 Mn |
| Jun 30, 2025 | 910.99 Mn |
| Mar 31, 2025 | 501.36 Mn |
| Dec 31, 2024 | 726.88 Mn |
| Sep 30, 2024 | 530.70 Mn |
| Jun 30, 2024 | 884.55 Mn |
| Mar 31, 2024 | 858.69 Mn |
| Dec 31, 2023 | 1.04 Bn |
| Sep 30, 2023 | 654.89 Mn |
| Jun 30, 2023 | 702.61 Mn |
| Mar 31, 2023 | 710.93 Mn |
| Dec 31, 2022 | 849.55 Mn |
| Sep 30, 2022 | 853.65 Mn |
| Jun 30, 2022 | 1.05 Bn |
| Mar 31, 2022 | 1.01 Bn |
| Dec 31, 2021 | 1.67 Bn |
| Sep 30, 2021 | 1.25 Bn |
Under Armour Cash & Equivalents 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=cash-and-equivalents&ticker=UAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=UAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();