Under Armour (UAA) EV to EBITDA (2010 - 2025)
Under Armour's (UAA) EV to EBITDA stood at 12.88 in fiscal Q2 2026 (quarter ended Sep 30, 2025), down 68.5% from 40.95 a year earlier but up 60.4% from the prior quarter.
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Analysis
Under Armour (UAA) EV to EBITDA (2010 - 2025) Analysis & Trends
On a TTM basis, Under Armour's EV to EBITDA came in at -11.35 as of Sep 30, 2025; for FY2024 (ended Mar 31, 2024), it came in at 6.42, down 28.3% from FY2023.
- Across earlier fiscal years, EV to EBITDA came in at 8.95 in FY2023, 10.57 in FY2022 (-22.7%) and 13.66 in FY2021.
- Quarterly EV to EBITDA has ranged from 2.82 in fiscal Q3 2023 to 138.45 in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, EV to EBITDA rose in two of the last four quarters, with growth averaging 326.2%.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 12.52 |
| Jun 30, 2025 | 7.95 |
| Dec 31, 2024 | 125.23 |
| Sep 30, 2024 | 39.95 |
| Jun 30, 2024 | 40.17 |
| Mar 31, 2024 | 6.39 |
| Dec 31, 2023 | 6.09 |
| Sep 30, 2023 | 4.73 |
| Jun 30, 2023 | 6.37 |
| Dec 31, 2022 | 8.20 |
| Sep 30, 2022 | 4.00 |
| Jun 30, 2022 | 4.94 |
| Dec 31, 2021 | 13.07 |
| Sep 30, 2021 | 13.07 |
| Jun 30, 2021 | 16.17 |
| Mar 31, 2021 | 39.65 |
| Dec 31, 2019 | 21.14 |
| Sep 30, 2019 | 25.27 |
| Jun 30, 2019 | 34.66 |
| Mar 31, 2019 | 41.66 |
API Access
Under Armour EV to EBITDA 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=ev-to-ebitda&ticker=UAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=UAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();