Levi Strauss (LEVI) Total Liabilities (2010 - 2026)
Levi Strauss (LEVI) posted Total Liabilities of $4.51 billion for fiscal Q3 2026 (quarter ended Aug 30, 2026), up 0.5% from $4.49 billion a year earlier and up 3.7% from the prior quarter.
Levi Strauss (LEVI) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), Levi Strauss' Total Liabilities came in at $4.57 billion, up 3.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- In prior fiscal years, Levi Strauss' Total Liabilities was $4.41 billion in FY2024 (+9.9%), $4.01 billion in FY2023 (-3.1%), $4.13 billion in FY2022 (-2.4%) and $4.23 billion in FY2021 (-2.5%).
- Quarterly Total Liabilities has run from a low of $3.91 billion in fiscal Q1 2023 to a high of $4.81 billion in fiscal Q1 2025 over five years.
- On a year-over-year basis, Total Liabilities increased in six of the last eight quarters, with growth averaging 3.9%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q1 2025, with growth of 20.8%; the weakest was fiscal Q1 2022, with a decline of 16.6%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $4.36 billion (Q2 2026), $4.37 billion (Q1 2026) and $4.57 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | 22.57 Bn |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | 6.00 Bn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 4.94 Bn |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | 1.19 Bn |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 3.69 Bn |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 4.51 Bn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | 7.70 Bn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 6.72 Bn |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 3.27 Bn |
| 10 | Crocs | 5.97 Bn | 5.38 Bn | 700.71 Mn | 2.97 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 4.51 Bn |
| May 31, 2026 | 4.36 Bn |
| Mar 1, 2026 | 4.37 Bn |
| Nov 30, 2025 | 4.57 Bn |
| Aug 31, 2025 | 4.49 Bn |
| Jun 1, 2025 | 4.44 Bn |
| Mar 2, 2025 | 4.81 Bn |
| Dec 1, 2024 | 4.41 Bn |
| Aug 25, 2024 | 4.38 Bn |
| May 26, 2024 | 4.23 Bn |
| Feb 25, 2024 | 3.99 Bn |
| Nov 26, 2023 | 4.01 Bn |
| Aug 27, 2023 | 3.93 Bn |
| May 28, 2023 | 3.95 Bn |
| Feb 26, 2023 | 3.91 Bn |
| Nov 27, 2022 | 4.13 Bn |
| Aug 28, 2022 | 4.07 Bn |
| May 29, 2022 | 4.01 Bn |
| Feb 27, 2022 | 4.03 Bn |
| Nov 28, 2021 | 4.23 Bn |
Levi Strauss Total 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-liabilities&ticker=LEVI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=LEVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();