Nike (NKE) Cost of Revenue (2009 - 2026)
Nike (NKE) reported Cost of Revenue of $6.42 billion for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 5.3% from $6.78 billion a year earlier but up 15.0% from the prior quarter.
Nike (NKE) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Nike's Cost of Revenue came in at $26.13 billion, down 3.1% year-over-year; for FY2026 (ended May 31, 2026), it was $26.49 billion, down 0.1% from FY2025.
- Cost of Revenue has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 1.5% (FY2021 to FY2026).
- By fiscal year, Cost of Revenue came in at $26.52 billion in FY2025 (-6.9%), $28.48 billion in FY2024 (-1.6%), $28.93 billion in FY2023 (+14.6%) and $25.23 billion in FY2022 (+2.7%).
- Five-year quarterly Cost of Revenue spans a low of $5.58 billion in fiscal Q4 2026 and a high of $7.6 billion in fiscal Q2 2023.
- Year over year, Cost of Revenue gained in three of the last eight quarters, with an average decline of 2.6%.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q2 2023 (growth of 23.8%); the low point was fiscal Q4 2026 (a decline of 15.8%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $5.58 billion (Q4 2026), $6.75 billion (Q3 2026) and $7.38 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 6.42 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 313.00 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 515.60 Mn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 953.75 Mn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 582.90 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 1.12 Bn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 342.46 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 478.76 Mn |
| 10 | V F | 5.64 Bn | 2.26 Bn | 917.04 Mn | 752.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 6.42 Bn |
| May 31, 2026 | 5.58 Bn |
| Feb 28, 2026 | 6.75 Bn |
| Nov 30, 2025 | 7.38 Bn |
| Aug 31, 2025 | 6.78 Bn |
| May 31, 2025 | 6.63 Bn |
| Feb 28, 2025 | 6.59 Bn |
| Nov 30, 2024 | 6.97 Bn |
| Aug 31, 2024 | 6.33 Bn |
| May 31, 2024 | 6.97 Bn |
| Feb 29, 2024 | 6.87 Bn |
| Nov 30, 2023 | 7.42 Bn |
| Aug 31, 2023 | 7.22 Bn |
| May 31, 2023 | 7.23 Bn |
| Feb 28, 2023 | 7.02 Bn |
| Nov 30, 2022 | 7.60 Bn |
| Aug 31, 2022 | 7.07 Bn |
| May 31, 2022 | 6.73 Bn |
| Feb 28, 2022 | 5.80 Bn |
| Nov 30, 2021 | 6.14 Bn |
Nike Cost of Revenue 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=cost-of-revenue&ticker=NKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=NKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();