Under Armour (UAA) Receivables (2009 - 2026)
Under Armour (UAA) posted Receivables of $646.12 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 3.6% from $623.74 million a year earlier but down 5.2% from the prior quarter.
Under Armour (UAA) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Under Armour's Receivables came in at $681.86 million, up 0.9% from FY2025.
- Annual Receivables shows a five-year compound annual growth rate of 3.7% (FY2021 to FY2026).
- In prior fiscal years, Under Armour's Receivables was $675.82 million in FY2025 (-10.8%), $757.34 million in FY2024 (-1.5%), $768.56 million in FY2023 and $710.54 million in FY2022 (+24.9%).
- Quarterly Receivables has run from a low of $8.9 million in fiscal Q4 2022 to a high of $805.2 million in fiscal Q2 2024 over five years.
- On a year-over-year basis, Receivables increased in 1 of the last seven quarters, with an average decline of 4.8%.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q4 2023, with growth of 97.8%; the weakest was fiscal Q4 2024, with a decline of 21.0%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $681.86 million (Q4 2026), $611.52 million (Q3 2026) and $688.48 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 5.93 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 237.10 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 407.20 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 318.98 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 171.16 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 586.20 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 1.08 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 328.90 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 430.30 Mn |
| 10 | Under Armour | 1.83 Bn | -1.54 Bn | 593.83 Mn | 646.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 646.12 Mn |
| Mar 31, 2026 | 681.86 Mn |
| Dec 31, 2025 | 611.52 Mn |
| Sep 30, 2025 | 688.48 Mn |
| Jun 30, 2025 | 623.74 Mn |
| Mar 31, 2025 | 13.70 Mn |
| Dec 31, 2024 | 615.47 Mn |
| Sep 30, 2024 | 723.04 Mn |
| Jun 30, 2024 | 684.70 Mn |
| Mar 31, 2024 | 13.90 Mn |
| Dec 31, 2023 | 691.55 Mn |
| Sep 30, 2023 | 805.20 Mn |
| Jun 30, 2023 | 705.46 Mn |
| Mar 31, 2023 | 17.60 Mn |
| Dec 31, 2022 | 710.54 Mn |
| Sep 30, 2022 | 789.09 Mn |
| Jun 30, 2022 | 693.64 Mn |
| Mar 31, 2022 | 8.90 Mn |
| Dec 31, 2021 | 17.10 Mn |
| Sep 30, 2021 | 735.78 Mn |
Under Armour Receivables 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=receivables&ticker=UAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=UAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();