Under Armour (UAA) Return on Sales [ROS] (2009 - 2026)
Under Armour's Return on Sales [ROS] came in at 4.26% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 3.96 percentage points from 0.29% a year earlier and up 7.13 percentage points from the prior quarter.
Under Armour (UAA) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Under Armour reported Return on Sales [ROS] of -2.43%, down 4.73 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was -3.28%, up 0.30 percentage points from FY2025.
- Return on Sales [ROS] carries a five-year change of -11.65 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was -3.59% in FY2025 (-7.62 pp), 4.03% in FY2024 (-0.44 pp), 4.47% in FY2023 and 5.52% in FY2022 (-2.85 pp).
- The fiscal Q1 2027 figure represents the highest quarterly Return on Sales [ROS] since fiscal Q2 2025.
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +0.41 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q1 2026 (a gain of 25.62 percentage points), and the weakest in fiscal Q1 2025 (a drop of 27.02 percentage points).
- Business Quant data shows UAA's Return on Sales [ROS] at -2.88% (Q4 2026), -11.28% (Q3 2026) and 1.28% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 7.92% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 7.82% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 11.12% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 28.22% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 24.22% |
| 10 | Under Armour | 2.02 Bn | -1.36 Bn | 593.83 Mn | 4.26% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.26% |
| Mar 31, 2026 | -2.88% |
| Dec 31, 2025 | -11.28% |
| Sep 30, 2025 | 1.28% |
| Jun 30, 2025 | 0.29% |
| Mar 31, 2025 | -6.11% |
| Dec 31, 2024 | 0.96% |
| Sep 30, 2024 | 12.37% |
| Jun 30, 2024 | -25.32% |
| Mar 31, 2024 | -0.27% |
| Dec 31, 2023 | 4.81% |
| Sep 30, 2023 | 8.90% |
| Jun 30, 2023 | 1.70% |
| Mar 31, 2023 | 2.11% |
| Dec 31, 2022 | 5.66% |
| Sep 30, 2022 | 7.36% |
| Jun 30, 2022 | 2.12% |
| Dec 31, 2021 | 5.63% |
| Sep 30, 2021 | 11.13% |
| Jun 30, 2021 | 8.97% |
Under Armour Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=UAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=UAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();