Nike (NKE) Cash from Operations (2009 - 2026)
Nike's Cash from Operations was $135 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), down 39.2% from $222 million a year earlier and down 91.8% from the prior quarter.
Nike (NKE) Cash from Operations (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nike's Cash from Operations was $2.78 billion through Aug 31, 2026, down 21.1% year-over-year; for FY2026 (ended May 31, 2026), it came in at $2.87 billion, down 22.4% from FY2025.
- Cash from Operations shows a five-year compound annual growth rate of -15.5% (FY2021 to FY2026).
- In earlier fiscal years, Cash from Operations was $3.7 billion in FY2025 (-50.2%), $7.43 billion in FY2024 (+27.2%), $5.84 billion in FY2023 (+12.6%) and $5.19 billion in FY2022 (-22.1%).
- The fiscal Q1 2027 figure marks the lowest quarterly Cash from Operations since fiscal Q1 2024.
- Compared with a year earlier, Cash from Operations was higher in 1 of the last eight quarters, with an average decline of 13.5%.
- The best year-over-year quarter for Cash from Operations over five years was fiscal Q4 2026 (growth of 253.6%); the worst was fiscal Q3 2022 (a decline of 86.9%).
- Per Business Quant data, NKE's Cash from Operations in the three fiscal quarters before Q1 2027 was $1.64 billion (Q4 2026), $430 million (Q3 2026) and $579 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 135.00 Mn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 522.20 Mn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 339.30 Mn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | 374.84 Mn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 102.90 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | -62.50 Mn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 347.44 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 286.47 Mn |
| 10 | Crocs | 5.83 Bn | 5.24 Bn | 700.71 Mn | 351.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 135.00 Mn |
| May 31, 2026 | 1.64 Bn |
| Feb 28, 2026 | 430.00 Mn |
| Nov 30, 2025 | 579.00 Mn |
| Aug 31, 2025 | 222.00 Mn |
| May 31, 2025 | 463.00 Mn |
| Feb 28, 2025 | 1.79 Bn |
| Nov 30, 2024 | 1.05 Bn |
| Aug 31, 2024 | 394.00 Mn |
| May 31, 2024 | 2.62 Bn |
| Feb 29, 2024 | 2.06 Bn |
| Nov 30, 2023 | 2.82 Bn |
| Aug 31, 2023 | -66.00 Mn |
| May 31, 2023 | 2.25 Bn |
| Feb 28, 2023 | 2.23 Bn |
| Nov 30, 2022 | 1.00 Bn |
| Aug 31, 2022 | 357.00 Mn |
| May 31, 2022 | 1.15 Bn |
| Feb 28, 2022 | 169.00 Mn |
| Nov 30, 2021 | 2.76 Bn |
Nike Cash from Operations 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=cash-from-operations&ticker=NKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=NKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();