Under Armour (UAA) Shares Outstanding (Diluted) (2009 - 2026)
Under Armour's Shares Outstanding (Diluted) came in at 431.94 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 1.1% from 427.12 million a year earlier and up 1.3% from the prior quarter.
Under Armour (UAA) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Under Armour's Shares Outstanding (Diluted) was 426.58 million, down 1.3% from FY2025.
- Shares Outstanding (Diluted) has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -2.3% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding (Diluted) was 432.25 million in FY2025 (-4.2%), 451.01 million in FY2024 (-2.3%), 461.51 million in FY2023 and 458.99 million in FY2022 (-4.3%).
- The fiscal Q1 2027 figure represents the highest quarterly Shares Outstanding (Diluted) since fiscal Q4 2025.
- Year-over-year, Shares Outstanding (Diluted) increased in 1 of the last eight quarters, with an average decline of 2.2%.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in fiscal Q1 2027 (growth of 1.1%), and the weakest in fiscal Q4 2025 (a decline of 4.2%).
- Business Quant data shows UAA's Shares Outstanding (Diluted) at 426.58 million (Q4 2026), 424.85 million (Q3 2026) and 428.35 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (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 | 210.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 61.30 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 144.29 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 112.92 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 389.63 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 160.20 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 | 49.63 Mn |
| 10 | Under Armour | 1.91 Bn | -1.47 Bn | 593.83 Mn | 431.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 431.94 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 | 437.30 Mn |
| Sep 30, 2024 | 435.69 Mn |
| Jun 30, 2024 | 435.69 Mn |
| Mar 31, 2024 | 451.01 Mn |
| Dec 31, 2023 | 448.44 Mn |
| Sep 30, 2023 | 453.72 Mn |
| Jun 30, 2023 | 454.51 Mn |
| Mar 31, 2023 | 461.51 Mn |
| Dec 31, 2022 | 458.99 Mn |
| Sep 30, 2022 | 464.14 Mn |
| Jun 30, 2022 | 468.17 Mn |
| Mar 31, 2022 | 471.43 Mn |
| Dec 31, 2021 | 479.73 Mn |
| Sep 30, 2021 | 473.12 Mn |
Under Armour Shares Outstanding (Diluted) 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-diluted&ticker=UAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=UAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();