NIKE, Inc. (NKE) Operating Expenses (2009 - 2026)
Nike's Operating Expenses was $4.08 billion in fiscal Q4 2026 (quarter ended May 31, 2026), down 1.6% from $4.15 billion a year earlier but up 2.6% from the prior quarter.
NIKE, Inc. (NKE) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Operating Expenses at Nike 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%).
- Quarterly Operating Expenses has moved between $3.44 billion (fiscal Q3 2022) and $4.37 billion (fiscal Q4 2023) over five years.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with an average decline of 1.4%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q1 2022 (growth of 20.1%); 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 Q4 2026 was $3.98 billion (Q3 2026), $4.04 billion (Q2 2026) and $4.02 billion (Q1 2026).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 31, 2021 | 3.57 Bn |
NIKE, Inc. 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_KEY
import 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();