Under Armour (UAA) Return on Capital Employed [ROCE] (2010 - 2026)
Under Armour (UAA) reported Return on Capital Employed [ROCE] of -4.06% for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 8.44 percentage points from 4.38% a year earlier but up 1.67 percentage points from the prior quarter.
Under Armour (UAA) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Under Armour posted Return on Capital Employed [ROCE] of -6.08%, down 0.67 percentage points from FY2025.
- Return on Capital Employed [ROCE] has declined for three consecutive fiscal years, with a five-year change of -19.43 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Capital Employed [ROCE] came in at -5.41% in FY2025 (-11.74 pp), 6.33% in FY2024 (-1.27 pp), 7.60% in FY2023 and 7.92% in FY2022 (-5.43 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of -7.53% in fiscal Q3 2026 and a high of 17.48% in fiscal Q3 2023.
- Year over year, Return on Capital Employed [ROCE] has now declined in each of the last three quarters, with an average year-over-year change of -4.90 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was fiscal Q1 2026 (a gain of 7.37 percentage points); the low point was fiscal Q4 2025 (a drop of 11.67 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at -5.73% (Q4 2026), -7.53% (Q3 2026) and -1.21% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 14.08% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 38.80% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 21.43% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 29.51% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 14.72% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 5.97% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 10.20% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 23.21% |
| 10 | Under Armour | 2.02 Bn | -1.36 Bn | 593.83 Mn | -4.06% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.06% |
| Mar 31, 2026 | -5.73% |
| Dec 31, 2025 | -7.53% |
| Sep 30, 2025 | -1.21% |
| Jun 30, 2025 | 4.38% |
| Mar 31, 2025 | -5.52% |
| Dec 31, 2024 | -3.62% |
| Sep 30, 2024 | -1.68% |
| Jun 30, 2024 | -2.99% |
| Mar 31, 2024 | 6.15% |
| Dec 31, 2023 | 7.67% |
| Sep 30, 2023 | 7.97% |
| Jun 30, 2023 | 7.61% |
| Mar 31, 2023 | 7.60% |
| Dec 31, 2022 | 9.71% |
| Sep 30, 2022 | 12.53% |
| Jun 30, 2022 | 13.29% |
| Dec 31, 2021 | 14.07% |
| Sep 30, 2021 | 13.06% |
| Jun 30, 2021 | 9.70% |
Under Armour Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=UAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=UAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();