Nike (NKE) EBITDA (2009 - 2026)
Nike (NKE) posted EBITDA of $1.08 billion for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 3.2% from $1.12 billion a year earlier and down 28.1% from the prior quarter.
Nike (NKE) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, EBITDA at Nike was $4.51 billion, up 7.4% year-over-year; for FY2026 (ended May 31, 2026), it came in at $4.54 billion, up 1.5% from FY2025.
- Annual EBITDA shows a five-year compound annual growth rate of -10.0% (FY2021 to FY2026).
- In prior fiscal years, Nike's EBITDA was $4.48 billion in FY2025 (-37.0%), $7.11 billion in FY2024 (+7.4%), $6.62 billion in FY2023 (-10.5%) and $7.39 billion in FY2022 (-3.8%).
- Quarterly EBITDA has run from a low of $520 million in fiscal Q4 2025 to a high of $2.02 billion in fiscal Q2 2024 over five years.
- On a year-over-year basis, EBITDA increased in 1 of the last eight quarters, with an average decline of 1.5%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q4 2026, with growth of 189.2%; the weakest was fiscal Q4 2025, with a decline of 70.3%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $1.5 billion (Q4 2026), $738 million (Q3 2026) and $1.19 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.55 Bn | 23.75 Bn | 4.80 Bn | 1.08 Bn |
| 2 | Tapestry | 27.52 Bn | 23.48 Bn | 1.56 Bn | 500.90 Mn |
| 3 | Ralph Lauren | 23.85 Bn | 15.77 Bn | 1.63 Bn | 424.10 Mn |
| 4 | Lululemon Athletica | 12.34 Bn | 6.60 Bn | 1.46 Bn | 595.99 Mn |
| 5 | Deckers Outdoor | 12.04 Bn | 5.24 Bn | 895.11 Mn | 408.50 Mn |
| 6 | Levi Strauss | 9.26 Bn | 5.84 Bn | 1.07 Bn | 277.10 Mn |
| 7 | V F | 8.01 Bn | 4.61 Bn | 1.49 Bn | 426.28 Mn |
| 8 | Crocs | 7.52 Bn | 6.93 Bn | 689.73 Mn | 312.52 Mn |
| 9 | Birkenstock Holding | 6.90 Bn | 5.23 Bn | 493.89 Mn | 276.24 Mn |
| 10 | Gildan Activewear | 5.48 Bn | 4.86 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.08 Bn |
| May 31, 2026 | 1.50 Bn |
| Feb 28, 2026 | 738.00 Mn |
| Nov 30, 2025 | 1.19 Bn |
| Aug 31, 2025 | 1.12 Bn |
| May 31, 2025 | 520.00 Mn |
| Feb 28, 2025 | 986.00 Mn |
| Nov 30, 2024 | 1.57 Bn |
| Aug 31, 2024 | 1.40 Bn |
| May 31, 2024 | 1.75 Bn |
| Feb 29, 2024 | 1.54 Bn |
| Nov 30, 2023 | 2.02 Bn |
| Aug 31, 2023 | 1.80 Bn |
| May 31, 2023 | 1.41 Bn |
| Feb 28, 2023 | 1.59 Bn |
| Nov 30, 2022 | 1.76 Bn |
| Aug 31, 2022 | 1.86 Bn |
| May 31, 2022 | 1.65 Bn |
| Feb 28, 2022 | 1.81 Bn |
| Nov 30, 2021 | 1.64 Bn |
Nike EBITDA 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=ebitda&ticker=NKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=NKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();