Under Armour (UAA) Revenue (2009 - 2026)
Under Armour (UAA) posted Revenue of $1.1 billion for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 3.2% from $1.13 billion a year earlier and down 6.3% from the prior quarter.
Under Armour (UAA) Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Under Armour was $4.93 billion, down 3.6% year-over-year; for FY2026 (ended Mar 31, 2026), it was $4.97 billion, down 3.8% from FY2025.
- Annual Revenue has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -2.7% (FY2021 to FY2026).
- In prior fiscal years, Under Armour's Revenue was $5.16 billion in FY2025 (-9.4%), $5.7 billion in FY2024 (-3.4%), $5.9 billion in FY2023 and $4.5 billion in FY2022 (-20.7%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Revenue in data going back to fiscal Q2 2023.
- On a year-over-year basis, Revenue has declined in each of the last ten quarters, with an average decline of 5.7% over the last eight quarters.
- The year-over-year decline in Revenue has ranged between 0.8% (fiscal Q4 2026) and 11.4% (fiscal Q4 2025) over the last five years.
- According to Business Quant data, Revenue for the three prior fiscal quarters was $1.17 billion (Q4 2026), $1.33 billion (Q3 2026) and $1.33 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 10.97 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 1.88 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 1.96 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 2.42 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 1.56 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 1.58 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 836.35 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 1.18 Bn |
| 10 | Under Armour | 1.83 Bn | -1.54 Bn | 593.83 Mn | 1.10 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.10 Bn |
| Mar 31, 2026 | 1.17 Bn |
| Dec 31, 2025 | 1.33 Bn |
| Sep 30, 2025 | 1.33 Bn |
| Jun 30, 2025 | 1.13 Bn |
| Mar 31, 2025 | 1.18 Bn |
| Dec 31, 2024 | 1.40 Bn |
| Sep 30, 2024 | 1.40 Bn |
| Jun 30, 2024 | 1.18 Bn |
| Mar 31, 2024 | 1.33 Bn |
| Dec 31, 2023 | 1.49 Bn |
| Sep 30, 2023 | 1.57 Bn |
| Jun 30, 2023 | 1.32 Bn |
| Mar 31, 2023 | 1.40 Bn |
| Dec 31, 2022 | 1.58 Bn |
| Sep 30, 2022 | 1.57 Bn |
| Jun 30, 2022 | 1.35 Bn |
| Dec 31, 2021 | 1.53 Bn |
| Sep 30, 2021 | 1.55 Bn |
| Jun 30, 2021 | 1.35 Bn |
Under Armour Revenue 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=revenue&ticker=UAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=UAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();