Under Armour (UAA) Total Non-Current Liabilities (2009 - 2026)
Under Armour (UAA) reported Total Non-Current Liabilities of $2.53 billion for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 10.9% from $2.84 billion a year earlier and down 11.6% from the prior quarter.
Under Armour (UAA) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Under Armour posted Total Non-Current Liabilities of $2.86 billion, up 25.7% from FY2025.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 0.2% (FY2021 to FY2026).
- By fiscal year, Total Non-Current Liabilities came in at $2.28 billion in FY2025 (-4.6%), $2.39 billion in FY2024 (-12.8%), $2.74 billion in FY2023 and $2.88 billion in FY2022 (+1.8%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Total Non-Current Liabilities since fiscal Q4 2025.
- Year over year, Total Non-Current Liabilities gained in three of the last eight quarters, with growth averaging 4.2%.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q4 2026 (growth of 25.7%); the low point was fiscal Q4 2024 (a decline of 12.8%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $2.86 billion (Q4 2026), $3.04 billion (Q3 2026) and $2.9 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 5.46 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 4.76 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 384.05 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 3.63 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 4.12 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 4.37 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 2.75 Bn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 2.33 Bn |
| 10 | Under Armour | 1.91 Bn | -1.47 Bn | 593.83 Mn | 2.53 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.53 Bn |
| Mar 31, 2026 | 2.86 Bn |
| Dec 31, 2025 | 3.04 Bn |
| Sep 30, 2025 | 2.90 Bn |
| Jun 30, 2025 | 2.84 Bn |
| Mar 31, 2025 | 2.28 Bn |
| Dec 31, 2024 | 2.52 Bn |
| Sep 30, 2024 | 2.38 Bn |
| Jun 30, 2024 | 2.93 Bn |
| Mar 31, 2024 | 2.39 Bn |
| Dec 31, 2023 | 2.75 Bn |
| Sep 30, 2023 | 2.57 Bn |
| Jun 30, 2023 | 2.77 Bn |
| Mar 31, 2023 | 2.74 Bn |
| Dec 31, 2022 | 2.88 Bn |
| Sep 30, 2022 | 2.85 Bn |
| Jun 30, 2022 | 2.78 Bn |
| Mar 31, 2022 | 2.66 Bn |
| Dec 31, 2021 | 2.83 Bn |
| Sep 30, 2021 | 2.75 Bn |
Under Armour Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=UAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=UAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();