Under Armour (UAA) Depreciation and Depletion (2021 - 2026)
Under Armour's Depreciation and Depletion came in at $25.4 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 11.2% from $28.6 million a year earlier and down 1.9% from the prior quarter.
Under Armour (UAA) Depreciation and Depletion (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Under Armour reported Depreciation and Depletion of $105.1 million, down 19.5% year-over-year; for FY2026 (ended Mar 31, 2026), it was $108.4 million, down 19.3% from FY2025.
- Depreciation and Depletion carries a five-year compound annual growth rate of -4.9% (FY2021 to FY2026).
- Going back by fiscal year, Depreciation and Depletion was $134.3 million in FY2025 (-1.7%), $136.6 million in FY2024 (+2.2%), $133.6 million in FY2023 and $101.3 million in FY2022 (-27.2%).
- The fiscal Q1 2027 figure represents the lowest quarterly Depreciation and Depletion in data going back to fiscal Q2 2023.
- Year-over-year, Depreciation and Depletion has declined for five consecutive quarters, with an average decline of 11.0% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in fiscal Q4 2025 (growth of 8.7%), and the weakest in fiscal Q4 2026 (a decline of 33.1%).
- Business Quant data shows UAA's Depreciation and Depletion at $25.9 million (Q4 2026), $26.9 million (Q3 2026) and $26.9 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 56.50 Mn |
| 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 | 25.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.40 Mn |
| Mar 31, 2026 | 25.90 Mn |
| Dec 31, 2025 | 26.90 Mn |
| Sep 30, 2025 | 26.90 Mn |
| Jun 30, 2025 | 28.60 Mn |
| Mar 31, 2025 | 38.70 Mn |
| Dec 31, 2024 | 30.90 Mn |
| Sep 30, 2024 | 32.30 Mn |
| Jun 30, 2024 | 32.50 Mn |
| Mar 31, 2024 | 35.60 Mn |
| Dec 31, 2023 | 33.50 Mn |
| Sep 30, 2023 | 33.20 Mn |
| Jun 30, 2023 | 34.30 Mn |
| Dec 31, 2022 | 34.20 Mn |
| Sep 30, 2022 | 33.20 Mn |
| Jun 30, 2022 | 33.90 Mn |
| Dec 31, 2021 | 32.80 Mn |
| Sep 30, 2021 | 36.70 Mn |
| Jun 30, 2021 | 35.80 Mn |
Under Armour Depreciation and Depletion 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=depreciation-and-depletion&ticker=UAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=UAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();