Under Armour (UAA) Operating Leases (2019 - 2026)
Under Armour (UAA) posted Operating Leases of $632.28 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 13.3% from $557.87 million a year earlier and up 6.1% from the prior quarter.
Under Armour (UAA) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Under Armour's Operating Leases came in at $596.14 million, up 3.8% from FY2025.
- Annual Operating Leases shows a five-year compound annual growth rate of -3.2% (FY2021 to FY2026).
- In prior fiscal years, Under Armour's Operating Leases was $574.28 million in FY2025 (-8.5%), $627.67 million in FY2024 (-11.1%), $705.71 million in FY2023 and $707.91 million in FY2022 (+0.7%).
- The fiscal Q1 2027 figure stands as the highest quarterly Operating Leases since fiscal Q3 2024.
- On a year-over-year basis, Operating Leases increased in two of the last eight quarters, with an average decline of 3.6%.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q1 2027, with growth of 13.3%; the weakest was fiscal Q4 2024, with a decline of 11.1%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $596.14 million (Q4 2026), $558.13 million (Q3 2026) and $573.16 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn |
| 10 | Under Armour | 2.10 Bn | -1.28 Bn | 593.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 632.28 Mn |
| Mar 31, 2026 | 596.14 Mn |
| Dec 31, 2025 | 558.13 Mn |
| Sep 30, 2025 | 573.16 Mn |
| Jun 30, 2025 | 557.87 Mn |
| Mar 31, 2025 | 574.28 Mn |
| Dec 31, 2024 | 582.02 Mn |
| Sep 30, 2024 | 601.50 Mn |
| Jun 30, 2024 | 612.42 Mn |
| Mar 31, 2024 | 627.67 Mn |
| Dec 31, 2023 | 654.22 Mn |
| Sep 30, 2023 | 657.55 Mn |
| Jun 30, 2023 | 677.12 Mn |
| Mar 31, 2023 | 705.71 Mn |
| Dec 31, 2022 | 707.91 Mn |
| Sep 30, 2022 | 705.03 Mn |
| Jun 30, 2022 | 650.83 Mn |
| Mar 31, 2022 | 668.98 Mn |
| Dec 31, 2021 | 703.11 Mn |
| Sep 30, 2021 | 728.08 Mn |
Under Armour Operating Leases 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=operating-leases&ticker=UAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=UAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();