Under Armour (UAA) Selling, General & Administrative (2009 - 2026)
Under Armour (UAA) reported Selling, General & Administrative of $543.09 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 2.4% from $530.35 million a year earlier and up 4.9% from the prior quarter.
Under Armour (UAA) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Under Armour's Selling, General & Administrative came in at $2.31 billion, up 0.5% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $2.29 billion, down 11.8% from FY2025.
- Selling, General & Administrative has a five-year compound annual growth rate of -0.4% (FY2021 to FY2026).
- By fiscal year, Selling, General & Administrative came in at $2.6 billion in FY2025 (+8.4%), $2.4 billion in FY2024 (+0.9%), $2.38 billion in FY2023 and $1.79 billion in FY2022 (-23.5%).
- Five-year quarterly Selling, General & Administrative spans a low of $517.73 million in fiscal Q4 2026 and a high of $1.19 billion in fiscal Q3 2023.
- Year over year, Selling, General & Administrative gained in five of the last eight quarters, with an average decline of 5.1%.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q1 2025 (growth of 42.1%); the low point was fiscal Q1 2026 (a decline of 36.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $517.73 million (Q4 2026), $664.54 million (Q3 2026) and $581.63 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 3.91 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.08 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 843.40 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 193.84 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 415.03 Mn |
| 10 | Under Armour | 2.02 Bn | -1.36 Bn | 593.83 Mn | 543.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 543.09 Mn |
| Mar 31, 2026 | 517.73 Mn |
| Dec 31, 2025 | 664.54 Mn |
| Sep 30, 2025 | 581.63 Mn |
| Jun 30, 2025 | 530.35 Mn |
| Mar 31, 2025 | 607.13 Mn |
| Dec 31, 2024 | 637.70 Mn |
| Sep 30, 2024 | 519.84 Mn |
| Jun 30, 2024 | 837.32 Mn |
| Mar 31, 2024 | 603.15 Mn |
| Dec 31, 2023 | 599.23 Mn |
| Sep 30, 2023 | 609.05 Mn |
| Jun 30, 2023 | 589.07 Mn |
| Mar 31, 2023 | 575.93 Mn |
| Dec 31, 2022 | 607.43 Mn |
| Sep 30, 2022 | 597.60 Mn |
| Jun 30, 2022 | 599.29 Mn |
| Dec 31, 2021 | 675.67 Mn |
| Sep 30, 2021 | 599.38 Mn |
| Jun 30, 2021 | 545.00 Mn |
Under Armour Selling, General & Administrative 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=selling-general-and-administrative&ticker=UAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=UAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();