Under Armour (UAA) Price to Earnings (2010 - 2025)
Under Armour's Price to Earnings was 28.73 in fiscal Q1 2026 (quarter ended Jun 30, 2025).
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Analysis
Under Armour (UAA) Price to Earnings (2010 - 2025) Analysis & Trends
For FY2024 (ended Mar 31, 2024), Price to Earnings at Under Armour came in at 14.00, up 22.4% from FY2023.
- In earlier fiscal years, Price to Earnings was 11.44 in FY2023, 21.09 in FY2022 (-26.6%) and 28.75 in FY2021.
- The fiscal Q1 2026 figure marks the highest quarterly Price to Earnings in data going back to fiscal Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | Under Armour | 2.02 Bn | -1.36 Bn | 593.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 28.73 |
| Mar 31, 2024 | 14.00 |
| Dec 31, 2023 | 9.61 |
| Sep 30, 2023 | 7.55 |
| Jun 30, 2023 | 8.42 |
| Mar 31, 2023 | 11.44 |
| Dec 31, 2022 | 14.72 |
| Sep 30, 2022 | 9.74 |
| Jun 30, 2022 | 13.39 |
| Dec 31, 2021 | 28.02 |
| Sep 30, 2021 | 21.81 |
| Jun 30, 2021 | 26.97 |
| Mar 31, 2021 | 85.45 |
| Dec 31, 2019 | 105.72 |
| Sep 30, 2019 | 80.61 |
| Jun 30, 2019 | 135.14 |
| Mar 31, 2019 | 1,481.64 |
| Sep 30, 2017 | 50.93 |
| Jun 30, 2017 | 44.24 |
| Mar 31, 2017 | 36.90 |
API Access
Under Armour Price to Earnings 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=price-to-earnings&ticker=UAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=UAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();