Levi Strauss (LEVI) Total Non-Current Liabilities (2010 - 2026)
Levi Strauss' Total Non-Current Liabilities was $4.12 billion in fiscal Q2 2026 (quarter ended May 31, 2026), up 4.1% from $3.96 billion a year earlier but down 0.3% from the prior quarter.
Levi Strauss (LEVI) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), Total Non-Current Liabilities at Levi Strauss came in at $4.33 billion, up 3.1% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- In earlier fiscal years, Total Non-Current Liabilities was $4.2 billion in FY2024 (+35.8%), $3.09 billion in FY2023 (-5.5%), $3.28 billion in FY2022 (+0.3%) and $3.26 billion in FY2021 (-6.3%).
- Quarterly Total Non-Current Liabilities has moved between $3.09 billion (fiscal Q4 2023) and $4.34 billion (fiscal Q1 2025) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in seven of the last eight quarters, with growth averaging 8.8%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q4 2024 (growth of 35.8%); the worst was fiscal Q1 2022 (a decline of 16.6%).
- Per Business Quant data, LEVI's Total Non-Current Liabilities in the three fiscal quarters before Q2 2026 was $4.14 billion (Q1 2026), $4.33 billion (Q4 2025) and $4.01 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 5.46 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 4.76 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 384.05 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 3.63 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 4.12 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 4.37 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 2.75 Bn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 2.33 Bn |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn | 7.07 Bn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 4.12 Bn |
| Mar 1, 2026 | 4.14 Bn |
| Nov 30, 2025 | 4.33 Bn |
| Aug 31, 2025 | 4.01 Bn |
| Jun 1, 2025 | 3.96 Bn |
| Mar 2, 2025 | 4.34 Bn |
| Dec 1, 2024 | 4.20 Bn |
| Aug 25, 2024 | 3.94 Bn |
| May 26, 2024 | 3.81 Bn |
| Feb 25, 2024 | 3.67 Bn |
| Nov 26, 2023 | 3.09 Bn |
| Aug 27, 2023 | 3.64 Bn |
| May 28, 2023 | 3.65 Bn |
| Feb 26, 2023 | 3.61 Bn |
| Nov 27, 2022 | 3.28 Bn |
| Aug 28, 2022 | 4.02 Bn |
| May 29, 2022 | 3.96 Bn |
| Feb 27, 2022 | 3.97 Bn |
| Nov 28, 2021 | 3.26 Bn |
| Aug 29, 2021 | 4.33 Bn |
Levi Strauss Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=LEVI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "LEVI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=LEVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();