Under Armour (UAA) Shares Outstanding (2009 - 2026)
Under Armour (UAA) recorded Shares Outstanding of 427.77 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 0.2% from 427.12 million a year earlier and up 0.3% from the prior quarter.
Under Armour (UAA) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Under Armour reported Shares Outstanding of 426.58 million, down 1.3% from FY2025.
- Annual Shares Outstanding has declined for three straight fiscal years, with a five-year compound annual growth rate of -2.2% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding came in at 432.25 million in FY2025 (-1.8%), 440.32 million in FY2024 (-2.5%), 451.43 million in FY2023 and 448.83 million in FY2022 (-5.7%).
- Quarterly Shares Outstanding has ranged from 424.85 million in fiscal Q3 2026 to 471.43 million in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Shares Outstanding rose in 1 of the last eight quarters, with an average decline of 1.4%.
- Peak year-over-year performance for Shares Outstanding in the last five years was growth of 0.2% in fiscal Q1 2027, against a decline of 4.2% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 426.58 million (Q4 2026), 424.85 million (Q3 2026) and 428.35 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.48 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 204.00 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 60.10 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 144.08 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 112.90 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 385.98 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 160.16 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 186.51 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 49.12 Mn |
| 10 | Under Armour | 1.91 Bn | -1.47 Bn | 593.83 Mn | 427.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 427.77 Mn |
| Mar 31, 2026 | 426.58 Mn |
| Dec 31, 2025 | 424.85 Mn |
| Sep 30, 2025 | 428.35 Mn |
| Jun 30, 2025 | 427.12 Mn |
| Mar 31, 2025 | 432.25 Mn |
| Dec 31, 2024 | 431.74 Mn |
| Sep 30, 2024 | 432.23 Mn |
| Jun 30, 2024 | 435.69 Mn |
| Mar 31, 2024 | 440.32 Mn |
| Dec 31, 2023 | 437.31 Mn |
| Sep 30, 2023 | 443.53 Mn |
| Jun 30, 2023 | 444.87 Mn |
| Mar 31, 2023 | 451.43 Mn |
| Dec 31, 2022 | 448.83 Mn |
| Sep 30, 2022 | 454.32 Mn |
| Jun 30, 2022 | 458.42 Mn |
| Mar 31, 2022 | 471.43 Mn |
| Dec 31, 2021 | 476.18 Mn |
| Sep 30, 2021 | 470.00 Mn |
Under Armour Shares Outstanding 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=shares-outstanding&ticker=UAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=UAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();