Nike (NKE) Short term Debt (2009 - 2026)
Nike's Short term Debt came in at $2 billion for fiscal Q4 2026 (quarter ended May 31, 2026), up 100.2% from the prior quarter.
Powered by 
Analysis
Nike (NKE) Short term Debt (2009 - 2026) Analysis & Trends
Going back to fiscal Q4 2009, Nike's Short term Debt data covers 57 quarters.
- Short term Debt carries a four-year compound annual growth rate of 41.4% (FY2022 to FY2026).
- Going back by fiscal year, Short term Debt was $1 billion in FY2024 and $500 million in FY2022.
- The fiscal Q4 2026 figure represents the highest quarterly Short term Debt in data going back to fiscal Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 2.00 Bn |
| Feb 28, 2026 | 999.00 Mn |
| Nov 30, 2025 | 999.00 Mn |
| Feb 28, 2025 | 1.00 Bn |
| Nov 30, 2024 | 1.00 Bn |
| Aug 31, 2024 | 1.00 Bn |
| May 31, 2024 | 1.00 Bn |
| Feb 28, 2023 | 500.00 Mn |
| Nov 30, 2022 | 500.00 Mn |
| Aug 31, 2022 | 500.00 Mn |
| May 31, 2022 | 500.00 Mn |
| Aug 31, 2020 | 1.00 Mn |
| May 31, 2020 | 3.00 Mn |
| Feb 29, 2020 | 4.00 Mn |
| Nov 30, 2019 | 6.00 Mn |
| Aug 31, 2019 | 6.00 Mn |
| May 31, 2019 | 6.00 Mn |
| Feb 28, 2019 | 6.00 Mn |
| Nov 30, 2018 | 6.00 Mn |
| Aug 31, 2018 | 6.00 Mn |
API Access
Nike Short term Debt 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=short-term-debt&ticker=NKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=NKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();