Nike (NKE) Depreciation & Amortization (CF) (2009 - 2026)
Nike (NKE) reported Depreciation & Amortization (CF) of $193 million for fiscal Q4 2026 (quarter ended May 31, 2026), down 3.0% from $199 million a year earlier but up 4.3% from the prior quarter.
Nike (NKE) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Nike posted Depreciation & Amortization (CF) of $747 million, down 3.6% from FY2025.
- Depreciation & Amortization (CF) has a five-year compound annual growth rate of 0.1% (FY2021 to FY2026).
- By fiscal year, Depreciation & Amortization (CF) came in at $775 million in FY2025 (-2.6%), $796 million in FY2024 (+13.2%), $703 million in FY2023 (-2.0%) and $717 million in FY2022 (-3.6%).
- Five-year quarterly Depreciation & Amortization (CF) spans a low of $169 million in fiscal Q1 2023 and a high of $207 million in fiscal Q4 2024.
- Year over year, Depreciation & Amortization (CF) has now declined in each of the last three quarters, with an average decline of 3.1% over the last eight quarters.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was fiscal Q3 2024 (growth of 19.0%); the low point was fiscal Q4 2022 (a decline of 10.9%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $185 million (Q3 2026), $179 million (Q2 2026) and $190 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 193.00 Mn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 45.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 58.90 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 142.33 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 57.20 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 68.32 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 8.57 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 20.05 Mn |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn | 57.79 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 193.00 Mn |
| Feb 28, 2026 | 185.00 Mn |
| Nov 30, 2025 | 179.00 Mn |
| Aug 31, 2025 | 190.00 Mn |
| May 31, 2025 | 199.00 Mn |
| Feb 28, 2025 | 198.00 Mn |
| Nov 30, 2024 | 190.00 Mn |
| Aug 31, 2024 | 188.00 Mn |
| May 31, 2024 | 207.00 Mn |
| Feb 29, 2024 | 207.00 Mn |
| Nov 30, 2023 | 191.00 Mn |
| Aug 31, 2023 | 191.00 Mn |
| May 31, 2023 | 187.00 Mn |
| Feb 28, 2023 | 174.00 Mn |
| Nov 30, 2022 | 173.00 Mn |
| Aug 31, 2022 | 169.00 Mn |
| May 31, 2022 | 179.00 Mn |
| Feb 28, 2022 | 180.00 Mn |
| Nov 30, 2021 | 181.00 Mn |
| Aug 31, 2021 | 177.00 Mn |
Nike Depreciation & Amortization (CF) 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-amortization-cf&ticker=NKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "NKE", "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-amortization-cf&ticker=NKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();