Under Armour (UAA) Other Accumulated Expenses (2009 - 2026)
Under Armour (UAA) posted Other Accumulated Expenses of $67.23 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 14.7% from $58.61 million a year earlier and up 45.1% from the prior quarter.
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Analysis
Under Armour (UAA) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Under Armour's Other Accumulated Expenses came in at $46.34 million, down 14.8% from FY2025.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -8.9% (FY2021 to FY2026).
- In prior fiscal years, Under Armour's Other Accumulated Expenses was $54.38 million in FY2025 (+58.3%), $34.34 million in FY2024 (-19.7%), $42.74 million in FY2023 and $65.73 million in FY2022 (-10.9%).
- Quarterly Other Accumulated Expenses has run from a low of $34.34 million in fiscal Q4 2024 to a high of $127.51 million in fiscal Q2 2023 over five years.
- On a year-over-year basis, Other Accumulated Expenses increased in six of the last eight quarters, with growth averaging 12.7%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q4 2025, with growth of 58.3%; the weakest was fiscal Q4 2023, with a decline of 66.0%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $46.34 million (Q4 2026), $69.93 million (Q3 2026) and $66.64 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | Under Armour | 2.02 Bn | -1.36 Bn | 593.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.23 Mn |
| Mar 31, 2026 | 46.34 Mn |
| Dec 31, 2025 | 69.93 Mn |
| Sep 30, 2025 | 66.64 Mn |
| Jun 30, 2025 | 58.61 Mn |
| Mar 31, 2025 | 54.38 Mn |
| Dec 31, 2024 | 63.04 Mn |
| Sep 30, 2024 | 45.61 Mn |
| Jun 30, 2024 | 57.10 Mn |
| Mar 31, 2024 | 34.34 Mn |
| Dec 31, 2023 | 58.84 Mn |
| Sep 30, 2023 | 59.32 Mn |
| Jun 30, 2023 | 59.57 Mn |
| Mar 31, 2023 | 42.74 Mn |
| Dec 31, 2022 | 65.73 Mn |
| Sep 30, 2022 | 85.29 Mn |
| Jun 30, 2022 | 127.51 Mn |
| Mar 31, 2022 | 125.84 Mn |
| Dec 31, 2021 | 73.75 Mn |
| Sep 30, 2021 | 116.50 Mn |
API Access
Under Armour Other Accumulated Expenses 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=other-accumulated-expenses&ticker=UAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=UAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();