Under Armour (UAA) EBITDA Margin (2009 - 2026)
Under Armour's EBITDA Margin was 6.57% in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 3.72 percentage points from 2.85% a year earlier and up 7.22 percentage points from the prior quarter.
Under Armour (UAA) EBITDA Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Under Armour's EBITDA Margin was -0.28% through Jun 30, 2026, down 5.16 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was -1.08%, down 0.12 percentage points from FY2025.
- EBITDA Margin has now declined for three consecutive fiscal years, with a five-year change of -11.92 percentage points (FY2021 to FY2026).
- In earlier fiscal years, EBITDA Margin was -0.96% in FY2025 (-7.49 pp), 6.53% in FY2024 (-0.23 pp), 6.76% in FY2023 and 7.80% in FY2022 (-3.05 pp).
- The fiscal Q1 2027 figure marks the highest quarterly EBITDA Margin since fiscal Q2 2025.
- Compared with a year earlier, EBITDA Margin was higher in four of the last eight quarters, with an average year-over-year change of +0.21 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was fiscal Q1 2026 (a gain of 25.40 percentage points); the worst was fiscal Q1 2025 (a drop of 26.89 percentage points).
- Per Business Quant data, UAA's EBITDA Margin in the three fiscal quarters before Q1 2027 was -0.65% (Q4 2026), -9.23% (Q3 2026) and 3.32% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 9.64% |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 26.69% |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 20.48% |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | 24.67% |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 17.21% |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | -1.51% |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 15.43% |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 39.01% |
| 10 | Under Armour | 2.00 Bn | -1.38 Bn | 593.83 Mn | 6.64% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.64% |
| Mar 31, 2026 | -0.59% |
| Dec 31, 2025 | -9.16% |
| Sep 30, 2025 | 3.38% |
| Jun 30, 2025 | 2.90% |
| Mar 31, 2025 | -2.75% |
| Dec 31, 2024 | 3.24% |
| Sep 30, 2024 | 14.75% |
| Jun 30, 2024 | -22.51% |
| Mar 31, 2024 | 2.81% |
| Dec 31, 2023 | 7.11% |
| Sep 30, 2023 | 11.08% |
| Jun 30, 2023 | 4.38% |
| Dec 31, 2022 | 7.82% |
| Sep 30, 2022 | 9.47% |
| Jun 30, 2022 | 4.71% |
| Dec 31, 2021 | 7.61% |
| Sep 30, 2021 | 13.77% |
| Jun 30, 2021 | 12.39% |
| Mar 31, 2021 | 11.75% |
Under Armour EBITDA 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=ebitda-margin&ticker=UAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=UAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();