Under Armour (UAA) Operating Expenses (2009 - 2026)
Under Armour's Operating Expenses came in at $547.09 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 0.7% from $543.17 million a year earlier and up 4.1% from the prior quarter.
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Analysis
Under Armour (UAA) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Under Armour reported Operating Expenses of $2.43 billion, up 3.6% year-over-year; for FY2026 (ended Mar 31, 2026), it was $2.42 billion, down 8.9% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 0.3% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $2.66 billion in FY2025 (+10.8%), $2.4 billion in FY2024 (+0.9%), $2.38 billion in FY2023 and $1.79 billion in FY2022 (-24.8%).
- The five-year range for quarterly Operating Expenses is $523.05 million (fiscal Q2 2025) to $1.19 billion (fiscal Q3 2023).
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with an average decline of 2.9%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q1 2025 (growth of 46.4%), and the weakest in fiscal Q1 2026 (a decline of 37.0%).
- Business Quant data shows UAA's Operating Expenses at $525.74 million (Q4 2026), $739.52 million (Q3 2026) and $613.54 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 4.08 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.10 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 856.90 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 283.86 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 415.03 Mn |
| 10 | Under Armour | 1.83 Bn | -1.54 Bn | 593.83 Mn | 547.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 547.09 Mn |
| Mar 31, 2026 | 525.74 Mn |
| Dec 31, 2025 | 739.52 Mn |
| Sep 30, 2025 | 613.54 Mn |
| Jun 30, 2025 | 543.17 Mn |
| Mar 31, 2025 | 622.86 Mn |
| Dec 31, 2024 | 651.65 Mn |
| Sep 30, 2024 | 523.05 Mn |
| Jun 30, 2024 | 862.40 Mn |
| Mar 31, 2024 | 603.15 Mn |
| Dec 31, 2023 | 599.23 Mn |
| Sep 30, 2023 | 609.05 Mn |
| Jun 30, 2023 | 589.07 Mn |
| Mar 31, 2023 | 575.93 Mn |
| Dec 31, 2022 | 607.43 Mn |
| Sep 30, 2022 | 597.60 Mn |
| Jun 30, 2022 | 599.29 Mn |
| Dec 31, 2021 | 689.80 Mn |
| Sep 30, 2021 | 616.04 Mn |
| Jun 30, 2021 | 547.62 Mn |
API Access
Under Armour Operating 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=operating-expenses&ticker=UAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=UAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();