Under Armour (UAA) Gross Margin (2009 - 2026)
Under Armour (UAA) posted Gross Margin of 54.09% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 5.90 percentage points from 48.19% a year earlier and up 12.07 percentage points from the prior quarter.
Under Armour (UAA) Gross Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Gross Margin at Under Armour was 46.78%, down 1.29 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was 45.48%, down 2.44 percentage points from FY2025.
- Annual Gross Margin shows a five-year change of -4.86 percentage points (FY2021 to FY2026).
- In prior fiscal years, Under Armour's Gross Margin was 47.92% in FY2025 (+1.79 pp), 46.13% in FY2024 (+1.34 pp), 44.79% in FY2023 and 45.34% in FY2022 (-5.00 pp).
- The fiscal Q1 2027 figure stands as the highest quarterly Gross Margin in data going back to fiscal Q2 2023.
- On a year-over-year basis, Gross Margin increased in five of the last eight quarters, with an average year-over-year change of +0.29 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was fiscal Q1 2027, with a gain of 5.90 percentage points; the weakest was fiscal Q4 2026, with a drop of 4.64 percentage points.
- According to Business Quant data, Gross Margin for the three prior fiscal quarters was 42.01% (Q4 2026), 44.42% (Q3 2026) and 47.29% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | 42.79% |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | 83.32% |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 73.69% |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 60.52% |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 66.21% |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | 54.93% |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 29.05% |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 59.05% |
| 10 | Under Armour | 2.10 Bn | -1.28 Bn | 593.83 Mn | 54.09% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.09% |
| Mar 31, 2026 | 42.01% |
| Dec 31, 2025 | 44.42% |
| Sep 30, 2025 | 47.29% |
| Jun 30, 2025 | 48.19% |
| Mar 31, 2025 | 46.65% |
| Dec 31, 2024 | 47.48% |
| Sep 30, 2024 | 49.76% |
| Jun 30, 2024 | 47.54% |
| Mar 31, 2024 | 45.01% |
| Dec 31, 2023 | 45.13% |
| Sep 30, 2023 | 47.78% |
| Jun 30, 2023 | 46.43% |
| Mar 31, 2023 | 43.29% |
| Dec 31, 2022 | 44.07% |
| Sep 30, 2022 | 45.32% |
| Jun 30, 2022 | 46.55% |
| Dec 31, 2021 | 50.74% |
| Sep 30, 2021 | 50.99% |
| Jun 30, 2021 | 49.49% |
Under Armour Gross Margin 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=gross-margin&ticker=UAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=UAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();