Nike (NKE) Operating Expenses (2009 - 2026)
Nike's Operating Expenses was $3.91 billion in fiscal Q1 2027 (quarter ended Aug 31, 2026), down 2.6% from $4.02 billion a year earlier and down 4.2% from the prior quarter.
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Analysis
Nike (NKE) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nike's Operating Expenses was $16.01 billion through Aug 31, 2026, down 0.3% year-over-year; for FY2026 (ended May 31, 2026), it came in at $16.11 billion, up 0.2% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of 4.3% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $16.09 billion in FY2025 (-2.9%), $16.58 billion in FY2024 (+1.2%), $16.38 billion in FY2023 (+10.6%) and $14.8 billion in FY2022 (+13.7%).
- The fiscal Q1 2027 figure marks the lowest quarterly Operating Expenses since fiscal Q3 2025.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with an average decline of 1.5%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q3 2023 (growth of 15.2%); the worst was fiscal Q3 2025 (a decline of 8.0%).
- Per Business Quant data, NKE's Operating Expenses in the three fiscal quarters before Q1 2027 was $4.08 billion (Q4 2026), $3.98 billion (Q3 2026) and $4.04 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | 3.91 Bn |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 1.10 Bn |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 843.50 Mn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | 1.75 Bn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 283.86 Mn |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 37.80 Mn |
| 10 | Crocs | 5.97 Bn | 5.38 Bn | 700.71 Mn | 415.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 3.91 Bn |
| May 31, 2026 | 4.08 Bn |
| Feb 28, 2026 | 3.98 Bn |
| Nov 30, 2025 | 4.04 Bn |
| Aug 31, 2025 | 4.02 Bn |
| May 31, 2025 | 4.15 Bn |
| Feb 28, 2025 | 3.89 Bn |
| Nov 30, 2024 | 4.01 Bn |
| Aug 31, 2024 | 4.05 Bn |
| May 31, 2024 | 4.09 Bn |
| Feb 29, 2024 | 4.23 Bn |
| Nov 30, 2023 | 4.15 Bn |
| Aug 31, 2023 | 4.12 Bn |
| May 31, 2023 | 4.37 Bn |
| Feb 28, 2023 | 3.96 Bn |
| Nov 30, 2022 | 4.12 Bn |
| Aug 31, 2022 | 3.92 Bn |
| May 31, 2022 | 4.04 Bn |
| Feb 28, 2022 | 3.44 Bn |
| Nov 30, 2021 | 3.76 Bn |
API Access
Nike Operating Expenses 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=operating-expenses&ticker=NKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();